Exploring the Weak Limit of Gravity at Solar System Scales A

Exploring the Weak Limit of Gravity at Solar System Scales
A dissertation submitted in partial fulfillment of the requirements for the degree of
Doctor of Philosophy at George Mason University
By
Gary L. Page
Master of Business Administration
Virginia Polytechnic Institute and State University, 1982
Master of Science
Clarkson University, 1971
Bachelor of Science
Clarkson University, 1969
Director: Dr. John F. Wallin, Associate Professor
Department of Computational and Data Sciences
Spring Semester 2009
George Mason University
Fairfax, VA
c 2009 by Gary L. Page
Copyright All Rights Reserved
ii
Dedication
First and foremost, I dedicate this dissertation to my bride, Vicky, who encouraged me to
begin this journey and then steadfastly continued to provide support and assistance throughout the whole process. Thanks are due also to our children, Kelly and Amanda Wolcott,
whose support and interest made the work much easier. Finally, my mother, Rose, and my
late father, Louis, provided an environment throughout my youth that encouraged curiosity
and learning, and thus contributed directly towards my desire and ability to accomplish the
effort described here. Without all these people, the work would not have been possible and
I dedicate the results to them.
iii
Acknowledgments
Dr. John Wallin could not have provided more help and guidance than he so ably and
willingly bestowed as my Dissertation Director. As a knowledgeable, flexible, and patient
mentor and friend, I could not have asked for more, even though he had an annoying
habit of being correct when we disagreed on technical matters. I also acknowledge the
help, support, and assistance of the rest of my committee, Drs. Peter Becker, Kirk Borne,
and Daniel Carr, who all provided assistance in various ways at various times and their
valuable contributions are gratefully recognized. Additionally, thanks are due David Dixon,
colleague, collaborator, friend, discoverer of asteroids, proprietor of Jornada Observatory
(IAU 715), and expert in practical astrometry for providing both illuminating conversations
and periodic exhortations. Finally, I want to thank Dr. Barbara L. O’Kane, my associate,
colleague, and friend from my “other life,” who provided support and assistance in many
ways and at many times as the work proceeded.
iv
Table of Contents
Page
List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
viii
ix
Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1 Introduction and Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
xii
1
1.1
1.2
1.3
Scientific Justification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1
3
6
1.4
Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
7
1.4.1
Observational Background . . . . . . . . . . . . . . . . . . . . . . . .
8
1.4.2
Pioneer Effect Caused by Known Physics . . . . . . . . . . . . . . .
9
1.4.3
Pioneer Effect Caused by Unknown Physics . . . . . . . . . . . . . .
11
1.4.4
Are These Explanations Plausible? . . . . . . . . . . . . . . . . . . .
13
1.4.5 Are These Effects Observable? . . . . . . . . . . . . . . . . . . . . .
1.4.6 The Broader Context . . . . . . . . . . . . . . . . . . . . . . . . . .
Organization of Dissertation . . . . . . . . . . . . . . . . . . . . . . . . . . .
14
15
18
Astrometric Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . .
2.1 Astrometry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
21
22
2.2
2.3
2.4
Celestial Mechanics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sources of Perturbations . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Solar System Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
30
32
33
2.5
Geometrical Aspects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
34
1.5
2
3
Asteroids as Gravity Probes
. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
36
3.1
Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3.1.1 Minor Planets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3.1.2 Asteroid Sample Selection . . . . . . . . . . . . . . . . . . . . . . . .
37
39
40
3.2
3.3
Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
3.3.1 Asteroid Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . .
41
43
43
3.3.2
47
Observational Issues . . . . . . . . . . . . . . . . . . . . . . . . . . .
v
4
3.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Major Planets as Gravity Probes . . . . . . . . . . . . . . . . . . . . . . . . . . .
57
60
4.1
Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.1.1 Characterizing the Pioneer effect . . . . . . . . . . . . . . . . . . . .
63
63
4.1.2
63
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65
68
73
73
Errors in orbital elements derived from observations . . . . . . . . .
How can we assess the quality of an orbital fit? . . . . . . . . . . . .
90
96
4.3 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Comets as Gravity Probes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
100
103
105
5.1
105
107
107
4.2
4.1.3 Celestial mechanics . . . . . . . . . . .
4.1.4 Simulation of observations . . . . . . .
Results . . . . . . . . . . . . . . . . . . . . . .
4.2.1 Prediction of sky position from orbital
4.2.2
4.2.3
5
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Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
6.2.1 Angular Separation . . . . . . . . . . . . . . . . . . . . . . . . . . . .
119
124
124
6.2.2
Probability of a Significant Position Difference . . . . . . . . . . . .
128
6.2.3
Quality of Orbital Fits . . . . . . . . . . . . . . . . . . . . . . . . . .
131
Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
6.3.1 Heuristic for Detection Times . . . . . . . . . . . . . . . . . . . . . .
6.3.2 Physical Basis for Heuristic . . . . . . . . . . . . . . . . . . . . . . .
136
136
141
6.3.3 What Would An Observer See? . . . . . . . . . . . . . . . . . . . . .
6.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Astrometry Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
142
148
151
7.1 Discussion . . . . . . . . . . . . . .
7.2 Conclusions . . . . . . . . . . . . .
Dark Matter Methods and Models . . .
8.1 Galactic Dark Matter Distribution
8.2 Local Dark Matter Density . . . .
152
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161
161
164
6.3
8
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elements
Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
5.1.1 Non-Gravitational Forces . . . . . . . . . . . . . . . . . . . . . . . .
5.1.2 Comet Sample Selection . . . . . . . . . . . . . . . . . . . . . . . . .
5.2 Results . . . . .
5.3 Discussion . . .
5.4 Conclusions . .
Impact of LSST and
6.1
6.2
7
Estimating Pioneer effect manifestations . . . . . . . . . . . . . . . .
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Pan-STARRS
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9
Dark Matter Capture Via a Weak Interaction . . . . . . . . . . . . . . . . . . . .
165
9.1
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166
167
170
172
9.1.4
Scattering Cross Section . . . . . . . . . . . . . . . . . . . . . . . . .
173
9.1.5
Scattering Depth . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
174
Methods and Models . . . . . .
9.1.1 Solar Interior Model . .
9.1.2 Solar Potential . . . . .
9.1.3 Hard Sphere Scattering
9.2 Results . . . . . . . .
9.3 Discussion . . . . . .
9.4 Conclusions . . . . .
10 Dark Matter Capture Via
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Three-Body
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Interactions
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. 175
. 179
. 181
. 187
10.1 Methods and Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
10.1.1 The Circular Restricted Three Body Problem . . . . . . . . . . . . .
188
189
10.1.2 Hill’s Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
10.1.3 Curves of Zero Velocity . . . . . . . . . . . . . . . . . . . . . . . . .
193
196
10.2 Results . . . . . . .
10.3 Discussion . . . . .
10.4 Conclusions . . . .
11 Dark Matter Summary
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198
203
204
207
11.1 Discussion . . . . . . . . . . .
11.2 Conclusions . . . . . . . . . .
12 Conclusions and Final Comments
12.1 Conclusions . . . . . . . . . .
12.1.1 Astrometry . . . . . .
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208
210
213
213
213
12.1.2 Dark Matter Capture . . . . . . . . . . . . . . . . . . . . . . . . . .
217
12.2 Impact of Dissertation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
218
12.3 Future Research Areas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
12.4 Final Remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
220
222
224
vii
List of Tables
Table
Page
1.1
Implications of the existence or nonexistence of the Pioneer effect and dark
3.1
matter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Orbital parameters of asteroids susceptible to the Pioneer effect. . . . . . .
16
42
3.2
Observational characteristics of asteroid candidates on 2005 April 1. . . . .
45
4.1
Elements for the hypothetical bodies used in the analysis. . . . . . . . . . .
69
4.2
Frequency of archive observations of Pluto. . . . . . . . . . . . . . . . . . .
70
4.3
Total number of synthetic observations used in analysis, for each arc segment
4.4
evaluated. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Four cases combining gravity models and forces determining motion. . . . .
71
72
5.1
Orbital parameters of comets susceptible to the Pioneer Effect. . . . . . . .
108
5.2
Change in comet orbital period because of Pioneer Effect and NGF. . . . .
110
5.3
Observational characteristics of comet candidates on 2005 April 1. . . . . .
112
6.1
The mean (in years), standard deviation (in years), and rms residual (in
arcsec) for each case described by a semimajor axis and an eccentricity. . .
6.2
130
Heuristic parameter values for time to a statistically significant angular separation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
viii
137
List of Figures
Figure
Page
2.1
Keplerian elements describe the shape, size, and orientation of orbits. . . .
24
3.1
Angular deviation between Keplerian and perturbed orbits
. . . . . . . . .
46
3.2
Maximum observable distance versus absolute visual magnitude . . . . . . .
47
3.3
Angular differences between positions of (5335) Damocles . . . . . . . . . .
51
3.4
4.1
Orbital fit rms residuals for Damocles . . . . . . . . . . . . . . . . . . . . .
Angular position differences when orbits are extrapolated with “known” el-
55
ements with– and without a Pioneer effect perturbation. . . . . . . . . . . .
74
4.2
Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 50 year arc. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.3
76
Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 100 year arc. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.4
77
Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 150 year arc. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.5
78
Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 200 year arc. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.6
79
Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 250 year arc. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.7
80
Angular position differences for Pluto when orbits are predicted with elements
determined from synthetic observations generated with a Pioneer effect per-
4.8
turbation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Observed minus calculated residuals for Pluto with respect to the DE414
83
ephemeris. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
85
ix
4.9
Normal points for the DE414 residuals and the residuals for the synthetic
observations relative to their ephemeris. . . . . . . . . . . . . . . . . . . . .
86
4.10 Total rms residual by epoch for the DE414 case and the synthetic observation
case. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.11 The condition number of the orbital fitting problem as a function of eccen-
89
tricity for different observation arc lengths. . . . . . . . . . . . . . . . . . .
94
4.12 Relative error in orbital elements in the linear approximation as observation
arc varies. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4.13 Rms residual of orbital fit as observation arc length varies. . . . . . . . . . .
95
98
4.14 Gravitational acceleration exerted by Uranus and Neptune on Pluto as a
5.1
function of time. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Angular deviation between modified comet orbits. . . . . . . . . . . . . . .
6.1
Angular separation as a function of time from perihelion for an object with
a semimajor axis of 20 AU. . . . . . . . . . . . . . . . . . . . . . . . . . . .
6.2
129
Probability of a statistically significant angular difference as a function of
time from perihelion for an object with a semimajor axis of 40 AU. . . . . .
6.5
127
Probability of a statistically significant angular difference as a function of
time from perihelion for an object with a semimajor axis of 20 AU. . . . . .
6.4
125
Angular separation as a function of time from perihelion for an object with
a semimajor axis of 40 AU. . . . . . . . . . . . . . . . . . . . . . . . . . . .
6.3
101
114
129
Probability of a significant sky position difference between the perturbed and
the unperturbed case for selected objects as a function of time from perihelion.132
6.6
Rms residual for various combinations of observations and gravity model as
the observation arc lengthens. . . . . . . . . . . . . . . . . . . . . . . . . . .
6.7
134
Time (in years) from perihelion that gives a 95 percent probability of a significant difference in sky position between a perturbed case and the unperturbed
6.8
6.9
case. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Time for an object that sometimes comes within 20 AU of the Sun to reach
138
a significant angular separation. . . . . . . . . . . . . . . . . . . . . . . . . .
140
True anomaly at which an observable position difference between the perturbed and unperturbed cases is found at the 95 percent significance level. .
142
6.10 True anomaly that results in observable positional differences at the 95 percent significance level. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
143
6.11 Normal points in right ascension for an object with a semimajor axis of 25
AU and an eccentricity of 0.3 in a “matching” case. . . . . . . . . . . . . . .
x
146
6.12 Normal points in right ascension for an object with a semimajor axis of 25
AU and an eccentricity of 0.3 in a “mismatched” case. . . . . . . . . . . . .
147
9.1
9.2
Solar mass interior to a radial distance . . . . . . . . . . . . . . . . . . . . .
Solar temperature versus radial distance . . . . . . . . . . . . . . . . . . . .
168
168
9.3
Total mass density versus radial distance . . . . . . . . . . . . . . . . . . . .
169
9.4
9.5
Mass fraction of main Solar constituents versus radial distance . . . . . . .
Gravitational potential energy per unit mass inside the Sun . . . . . . . . .
169
172
9.6
Illustrative dark matter trajectories through the Sun . . . . . . . . . . . . .
176
9.7
Optical depth to scattering for two dark matter trajectories . . . . . . . . .
177
9.8
Number of dark matter particles suffering different fates as dark matter par-
9.9
ticle mass varies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Log of binned frequency of captured dark matter particles as dark matter
179
mass is varied . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180
9.10 Frequency of energy bins of captured dark matter particles . . . . . . . . . 181
9.11 Frequency of semimajor axis bins for captured dark matter . . . . . . . . .
182
9.12 Optical depth to scattering as a function of time for several representative
orbits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
9.13 Representative set of orbital states that a dark matter particle traverses from
184
initial capture into Solar orbit to eventual escape . . . . . . . . . . . . . . .
185
10.1 Zero velocity curves in the orbital plane of the primaries . . . . . . . . . . .
198
10.2 Zero velocity curves in the orbital plane of the primaries for different values
of CJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
200
10.3 Zero velocity curves for the Hill problem in the orbital plane of the primaries
for different values of CH
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
202
10.4 Zero velocity curves for the Hill problem in different planes for different values
of CH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
xi
202
Abstract
EXPLORING THE WEAK LIMIT OF GRAVITY AT SOLAR SYSTEM SCALES
Gary L. Page, PhD
George Mason University, 2009
Dissertation Director: Dr. John F. Wallin
Precision tracking of multiple spacecraft in the outer Solar System has shown an unmodelled perturbation, consisting of a small, constant, radial acceleration directed towards the
Sun. Since its detection, a great deal of work has been devoted to explaining this Pioneer
effect, both in terms of spacecraft-generated systematics and external physical causes. Its
continuing importance is found in the fact that it has been impossible to explain away the
effect through conventional means. This leaves open the possibility, however unlikely, that
new physics is represented in the effect. This new physics, in turn, would be connected
intimately to gravity with huge implications across astrophysics and beyond.
With this as motivation, this dissertation investigates two areas related to the Pioneer
effect. The first goal is to investigate the use of planets, comets, and asteroids to determine
the reality of the Pioneer effect through precision astrometry.
Here, we showed that asteroids can be used to evaluate the gravitational field in the
outer Solar System. The observations can be conducted with modest allocations of telescope
time, and would provide a definitive answer to the question within the next 20 years.
In assessing current knowledge of Pluto’s orbit, we determined that it is not known well
enough at present to preclude the existence of the Pioneer effect. We also showed that
comets are not ideal candidates for measuring gravity in the outer Solar System, although
some present intriguing observational targets for related reasons. Finally, we showed that
Pan-STARRS and LSST are likely to lead to a capability to test gravity in the outer Solar
System in the near future.
The second goal of the dissertation involved exploring two general mechanisms for explaining the Pioneer effect. The first approach involved investigating the effective mass
density that would be produced in the Solar System as a result of the capture of elementary
particle dark matter by means of a hypothetical weak interaction between the dark matter
particles and the matter of the Sun. The second approach involved three body capture of
dark matter from the Galactic halo into Solar orbit. The three bodies interacting are the
Galactic barycenter, the Sun, and the dark matter particle.
In this phase of the dissertation, we showed that capture of Galactic dark matter into
Solar orbit by a weak interaction with Solar matter does not accumulate dark matter in
the region where the Pioneer effect manifests itself. It is possible that it does accumulate
at smaller distances, however. Similarly, we showed that three body gravitational capture
is not feasible as a cause of the Pioneer effect either. Dark matter captured by this mechanism would occur generally at distances far greater than that needed to cause the Pioneer
anomaly. Thus, neither mechanism for capture of dark matter into Solar orbit sufficed to
explain the Pioneer effect.
Finally, we discuss a number of future research areas that became apparent during the
course of the research.
Chapter 1: Introduction and Background
This dissertation describes a research program that investigates the use of astrometry of
outer Solar System bodies as a probe of gravity at multiple AU scales. The effort is part of
a broader research program that includes investigation of Solar System capture scenarios
of Galactic dark matter that could have observable dynamical effects.
This line of research is important because gravity is the primary force molding the
evolution of the entire cosmos. Introducing ad hoc concepts like dark matter to make
theories fit observation follows a time-honored approach of assuming the basic correctness
of our picture of Nature and adding the simplest concepts necessary to make our picture
whole. Many times in the past, the reality of the new concepts was eventually demonstrated.
However, given the lack of success in directly detecting dark matter and having no empirical
basis for even speculating on its nature, the time has come to investigate other possibilities.
1.1
Scientific Justification
While at first glance the goal of investigating the weak limit of gravity at Solar System
scales might seem to be a settled problem, the reality is quite different. At laboratory
scales, Newton’s Law of Universal Gravitation is experimentally verified by such means as
the Cavendish experiment and its variants and descendants. At the distance scale of the
inner planets, the tracking of space probes has experimentally confirmed our modern understanding of gravity to a high degree of accuracy. This is especially true for Venus, Mars,
the Moon, and, of course, our own planet, whose positions in space have been essentially
“surveyed in” by multiple spacecraft.
At the largest scale, that of galaxy clusters, we observe gravitational lensing of distant
galaxies by foreground clusters. However, we do not see enough matter to provide the
1
requisite mass to cause the lens. Similarly, on somewhat smaller but still large scales,
the rotation curves of individual galaxies cannot be understood in terms of rotation in a
gravitational field produced by the visible matter. In facing these issues, investigators had
two choices. Either they could assume that there was some invisible matter influencing the
motion, or that our theories of gravity were wrong. Normally, the easy way out is to assume
that dark matter exists, even though we have no real idea of its nature and have not yet
succeeded in directly detecting it.
At intermediate scales, say that of binary stars, we have problems observationally verifying our understanding of gravity. Such objects have only been known for about 200 years
and long period binaries are not even known to be gravitationally bound to one another.
Even shorter period binaries have not been studied extensively enough to observe deviations
from normal gravity. Note that, as our interest is in weak-field systems, in this discussion we
are ignoring binary pulsars and close, relativistic binaries, where gravity is well-measured
by, for example, pulsar timings.
At somewhat smaller spatial scales, we have the outer planets of our Solar System
along with various minor planets, comets, etc. The question addressed in this dissertation
and our research program is whether gravity can be tested at the 20 to 100 AU distance
scales typical of our local environment. Even at these scales, there is some evidence of
“problems” with gravity. Our most precisely tracked spacecraft, Pioneers 10 and 11, have
shown a constant sunward radial acceleration (termed the Pioneer effect) over a range of
heliocentric distances from 20 to 75 AU that has resisted conventional explanation. Thus,
wherever we look at either very weak gravity fields or, perhaps the same thing, at large
distances, we see problems with our understanding of gravity. This and related issues are
among the outstanding problems facing astronomy and astrophysics as we enter the twentyfirst century.
2
1.2
Problem Statement
As I will discuss below, a great deal of work has been devoted to explaining the Pioneer
effect, both in terms of spacecraft-generated systematics and external physical causes. The
importance of this is found in the fact that it has been impossible to explain away the
effect through conventional means. This leaves open the possibility, however unlikely, that
new physics is represented in the effect. This new physics, in turn, would be intimately
connected to gravity with huge implications across astrophysics and beyond.
Continuing professional interest in this area of research has been shown by the European Space Agency, as part of its Cosmic Vision 2015-2025 planning (Bignami et al., 2005),
exploring as a major theme “What are the fundamental physical laws of the Universe,” that
envisions high precision experiments in space aimed at uncovering new physics, including
probing the limits of general relativity, symmetry violations, etc. Further, the International
Space Science Institute has convened an international team, “The Pioneer Explorer Collaboration: Investigation of the Pioneer Anomaly at ISSI,” 1 to define a process by which the
entire Pioneer data record can be analyzed and to use the results to define an instrument
package capable of providing an independent confirmation of the anomaly and to study the
feasibility of a dedicated mission to explore the Pioneer effect (Dittus et al., 2006).
Even continuing public interest in this area of research is shown by the fact that the
most successful fundraising appeal conducted to date by the Planetary Society has been to
support saving the complete record of all existing Pioneer tracking data, allowing continuing
efforts to analyze the complete dataset.
These efforts have borne fruit and an extended dataset has been successfully recovered.
It is being analyzed in a number of ways by a number of groups, and recent reports of
progress have appeared in the literature (List and Mullin, 2008; Toth and Turyshev, 2006,
2008; Turyshev and Toth, 2007; Turyshev et al., 2006, for example).
In light of the continuing interest in this problem, one primary goal of the dissertation
is to investigate the use of planets, comets, and asteroids to investigate the reality of the
1
http://www.issi.unibe.ch/teams/Pioneer
3
Pioneer effect. The proposed method of attack is one that has neither been tried nor
explored by interested parties.
Although theorists have explored many potential causes of the Pioneer effect, Occam’s
razor dictates that we preferentially investigate simpler explanations as a first choice. To
this end, the second phase of the dissertation involves exploring two general mechanisms
for explaining the Pioneer effect within the currently accepted astrophysical context.
The first approach involves investigating the effective mass density that would be produced in the Solar System as a result of the capture of elementary particle dark matter
by means of a hypothetical weak interaction between the dark matter particles and the
matter of the Sun. This approach is restricted to potential dark matter candidates such as
neutrinos or more exotic particles like neutralinos or axions that are able to interact weakly
with matter in the interior of the Sun.
The second approach to explaining the Pioneer effect involves an effect that has not
heretofore been recognized: three body capture of dark matter from the Galactic halo into
Solar orbit. We are all familiar with utilizing gravity assist trajectories to minimize travel
time for spacecraft on the way to the outer planets. What hasn’t previously been explored
is using this same dynamical phenomenon in reverse. In this case the three bodies whose
interactions can cause halo dark matter to lose sufficient energy to become bound to the
sun are the Sun itself, the dark matter particle, and the Galactic barycenter. The process
has a very large capture cross section and has the additional benefit of applying to any
dark matter candidate (either elementary particle or macroscopic bodies of various levels
of exoticness).
Summarizing, the problem areas addressed in the dissertation are twofold:
• Investigating the feasibility of using major and minor planets to investigate gravity
at intermediate scales and in particular to evaluate the reality of the Pioneer effect.
• Investigating several potential causes of gravitational perturbations due to dark matter
in the outer Solar System, and through them the Pioneer effect.
4
The importance of this effort lies in its relation to empirically investigating the weak
limit of gravity at Solar System scales. This is an outstanding problem that, in turn,
ties into perhaps one of the largest problems outstanding in astrophysics—the nature and
existence of dark matter.
As far as the first problem area is concerned, it is a remarkable fact that once minor
planets are discovered and their orbits determined, there is little follow-up on characterizing
their orbits if they are found to present no earth impact threat. Minor planets are never
followed with an eye towards assessing the gravitational fields through which they travel.
Indeed, many asteroids are currently “lost” in that it has been so long since any reported
observations were made that they could not now be observed by looking in a predicted
position—a new search would be required (Sansaturio et al., 1998).
The orbits of the outer planets are well modeled, even though there remain irritating
discrepancies in the residuals of Pluto. However, in the absence of extended visits by
spacecraft, there remain uncertainties in the orbital elements of the outer planets that
could easily obscure small perturbations like the Pioneer effect. Thus, there are few tests
of gravity at intermediate distance scales and theorists considering gravity at these scales
are operating in an empirical vacuum.
There is even disagreement about the degree to which observations of the outer planets
validate Newtonian gravity (Krotkov and Dicke, 1959). Indeed, recently Page et al. (2006)
stated that observational uncertainties associated with the positions of the outer planets
make them infeasible for demonstrating or refuting the existence of the Pioneer effect. This
statement resulted in several citations that disputed that assertion (Iorio and Giudice, 2006;
Tangen, 2007), or at least to assert that the statement is controversial (Sanders, 2006). The
issues raised by these researchers are dealt with elsewhere in the dissertation.
In any case, if a method of measuring the Pioneer effect was available it might serve,
once and for all, to either support or refute its existence as a real phenomenon. Depending
upon the characteristics of the measurements, it might even be possible to differentiate
between alternative predictions of different explanations for the effect.
5
Thus, one main purpose of the dissertation is to outline the feasibility of using observations of planets, comets, and asteroids to evaluate the distribution of mass in the outer
Solar System and thereby explore the Pioneer effect by precision astrometry. Secondly, its
purpose is to evaluate some possible causes of the Pioneer effect and whether they are observationally detectable. Such a program could have profound effects on our understanding
of the mass distribution in the outer Solar System.
1.3
Objectives
Within the two broad purposes outlined above, the main objectives of the dissertation
include the following:
• Using asteroids to measure the Pioneer effect—This objective involves investigating
whether asteroids can be used to determine whether or not the Pioneer effect can be
validated by means of astrometric observations. The work shows that a sustained
observation campaign or properly chosen asteroids can over time show whether or not
the Pioneer effect exists.
• Using major planets as a probe of gravity in the outer Solar System—Contrary to a
number of statements in the literature, and in agreement with other assertions I have
made, we show that the motion of the major outer planets do not indicate that the
Pioneer effect does not exist; rather, uncertainties in the orbit of Pluto potentially
conceal small perturbations to gravity.
• Using comets to measure the Pioneer effect—This objective seeks to investigate the use
of comets to see if they provide a vehicle for measuring the Pioneer effect. As smaller
and typically fainter bodies that are also subject to nongravitational perturbations
(Marsden et al., 1973), comets are not ideal candidates for this purpose; however, the
general feasibility of comets in this role is the primary thrust of this objective.
• Exploring the impact of uncoming large, high observation cadence instruments such as
Pan-STARRS and LSST on the use of objects in the outer Solar System to investigate
6
gravity—Recognizing the scarcity of time on large telescopes, the dissertation shows
that the advent of high speed, deep surveys will revolutionize the use of minor planets
as probes of gravity in the outer Solar System.
• Evaluating mass capture due to particle interactions between dark matter and matter
in the Sun as a source of the Pioneer effect—If Galactic dark matter exists as elementary particles, and if it interacts both gravitationally and weakly with baryonic
matter, those interactions should lead to capture of dark matter into Solar orbit. The
thrust of this objective is to evaluate the possibility that dark matter captured in this
way can explain the Pioneer effect.
• Evaluating three-body capture as a mechanism for explaining the Pioneer effect—A
mechanism for explaining the Pioneer effect in the context of a mass concentration
in the outer Solar System that has not previously been investigated is through threebody capture of Galactic dark matter into Solar orbit. In this context the three bodies
are the Galactic barycenter, the Sun, and the dark matter particle. Note that this
mechanism does not demand that dark matter be of an elementary particle nature.
Any type of dark matter that gravitates would be subject to this effect.
The dissertation outlined above, in addition to standing on its own in terms of originality
and scientific utility, is also open-ended in that it provides a natural path to future activities
in an open, but important, area of research: Assessing gravity at the multiple AU scale.
This area of research seems particularly fruitful and a number of potential future research
areas are clearly visible. These future directions are outlined later in the dissertation.
1.4
Background
As indicated above, our interests here are broader than whether or not the Pioneer effect
really exists. Rather, we are attempting to assess the weak limit of gravity at intermediate
scales like that of the Solar System. However, the Pioneer effect provides an empirical
touchstone upon which we can base our investigation. Below, we describe the Pioneer
7
effect in some detail, outlining potential explanations that have thus far failed to convince
researchers that they in fact explain the observations, discuss whether or not the explanation
attempts are plausible, and whether the Pioneer effect is independently verifiable. Finally,
we describe a somewhat broader view of the arena within which the dissertation operates,
and show that the researches described here have meaning, validity, and worth whether or
not the Pioneer effect really exists.
1.4.1
Observational Background
Beginning in 1972, humanity began exploring the outer Solar System with the launch of
Pioneer 10. As this probe receded from Earth and continued performing its initial and
extended missions, other robotic explorers followed in its wake. In 1973, Pioneer 11 was
launched; the twin spacecraft Voyager 1 and 2 both departed in 1977; Galileo left on its
roundabout trip in 1989; Ulysses was launched into a Solar polar orbit in 1990; Cassini
went on its way in 1997, and after passing by Jupiter, has entered orbit around Saturn for
its extended mission; and in 2006, New Horizons left to visit Pluto in 2015. During these
missions, a number of groups followed the probe’s trajectories with interest, attempting to
discern unexplained perturbations of various types in the motion of the spacecraft. Anderson
et al. (1989) placed bounds on the amount of dark matter in Solar orbit by using Voyager 2
Uranus flyby data to generate a new and more accurate ephemeris which bounded the extra
mass. This work was followed by Anderson et al. (1995), which used Voyager 2 Neptune
flyby data, coupled with data from the Jupiter encounters of Pioneer 10 and 11, as well as
Voyager 1 to improve the dark matter bounds derived previously.
The Pioneers were of particular interest in this regard. As “primitive” spacecraft, they
were spin stabilized and required a minimum number or Earth reorientation maneuvers
which permitted precise acceleration measurements. The Voyager probes, on the other
hand, were three axis stabilized and conducted numerous attitude control maneuvers that
overwhelmed the small signature of the anomalous acceleration. The Pioneer design is in
keeping with one of the main objectives of their extended missions, which was to conduct
8
accurate celestial mechanics measurements. However, both Galileo and Ulysses were also
investigated. The failure of Galileo’s high gain antenna to deploy made integration times for
data collection uncomfortably long, This, coupled with the closeness of the Sun and the size
of the spacecraft, made it very difficult to collect the necessary ranging data to determine the
position of the spacecraft and made it impossible to separate out Solar radiation effects from
any anomalous acceleration. Thus, Galileo data could not be used to verify the existence of
the anomaly. Ulysses, on the other hand, gives some indication of an anomalous acceleration,
but the assumptions required and the high correlation between Solar radiation forces and
any anomalous acceleration make it impossible to convincingly separate out the two effects.
The Pioneer probes are the primary focus here, and both following Pioneer 10’s Jupiter
encounter and Pioneer 11’s Saturn encounter, they continued outward on hyperbolic trajectories, leaving the Solar System. Because of their spin-stabilization and large heliocentric
distances, they provided ideal platforms for their extended mission of conducting dynamical
studies of the outer Solar System.
As reported by Anderson et al. (1998), beginning in 1980 when Pioneer 10 was 20 AU
from the Sun and the pressure due to Solar radiation had decreased to less than 5×10 −8 cm
sec−2 , analysis of unmodeled accelerations found that the biggest systematic error in the
acceleration residuals was a constant acceleration, directed towards the Sun, of approximate
magnitude 8 × 10−8 cm sec−2 , well in excess of the five day average acceleration accuracy
of 10−8 cm sec−2 . When Pioneer 11 passed this 20 AU threshold, a similar effect was seen.
Prompted by this unusual result, Galileo and Ulysses data were investigated for a similar
effect. Although the limited data available from Galileo could not be used, Ulysses showed
a similar unmodeled acceleration residual, even at its much smaller heliocentric distance.
The effect on the Pioneers has persisted until at least a heliocentric distance of 75 AU.
1.4.2
Pioneer Effect Caused by Known Physics
As might be expected, the well-reasoned arguments for an anomalous acceleration in the
outer Solar System precipitated a large body of work in an effort to explain the acceleration
9
in terms not requiring additional hypothetical mass concentrations with special properties.
In a capstone paper, Anderson et al. (2002a) reviews and addresses a large number of
objections to the conclusion that there is an anomalous acceleration and provides a detailed
look at technical information on the Pioneers that was previously not readily available.
Roughly speaking, potential causes of the Pioneer effect can be divided into those imposed
upon the spacecraft from external sources, and those originating within the spacecraft.
Among the former are: Solar radiation pressure, wind, and corona; the stability of clocks
and the mechanical stability of the NASA Deep Space Network (DSN) antenna complex;
and electromagnetic Lorentz forces acting on a charged spacecraft. The latter encompass
reaction forces from the emitted radio beam, differential emissivities of the Radioisotope
Thermoelectric Generators (RTGs), helium expelled from the RTGs due to decay of their
plutonium fuel, and gas leaks.
Anderson et al. (2002a) also reviews a number of attempts to explain the Pioneer effect
in terms of known physics. These include: mass concentrations due to resonance effect with
Neptune and Pluto (Malhotra, 1995, 1996), forces due to a hypothetical disk of matter in
the ecliptic plane (Boss and Peale, 1976), and the implications for the Pioneer effect of
these concentrations (Liu et al., 1996). Similarly, RTG heat reflecting off the spacecraft was
investigated (Anderson et al., 1999a; Katz, 1999) and non-isotropic radiative cooling of the
spacecraft was suggested (Anderson et al., 1999b; Murphy, 1999). Variations on this theme
were also suggested by Scheffer (2001a,b, 2003) and discussed in Anderson et al. (2001).
The idea that the Pioneer effect was due to some new manifestation of known physics
was also explored. Anderson et al. (2002a), for example, also investigated the feasibility of
the anomalous acceleration being due to some unknown interaction of radio signals with
the Solar wind. Similarly, Crawford (1999) investigated the idea of a gravitational red shift
causing the Pioneer effect. Others looked at resistance to the motion of the spacecraft due
to interplanetary dust, but infrared observations ruled out dust as a cause (Backman et al.,
1995; Teplitz et al., 1999).
Investigation of these areas continues. In particular, Nieto (2005) analytically assessed
10
the possiblity that Kuiper Belt mass distributions could lead to the Pioneer effect. Similary,
Xu and Siegel (2008) and Peter and Tremaine (2008) investigated the mass distribution in
the Solar System of dark matter particles being captured by means of three body interactions
between the Sun, planets, and the dark matter particles. Additionally, the ongoing analysis
of the extended Pioneer dataset has led to further investigation of thermal issues with the
spacecraft (Bertolami et al., 2008; Toth and Turyshev, 2009) and the possiblity that thermal
radiation is the cause of the Pioneer effect.
None of these mechanisms convincingly explains the Pioneer effect. Although even
the discoverers of the Pioneer effect acknowledge that spacecraft systematics are the most
likely explanation for the acceleration, there have been no convincing arguments that that
is the case. The alternative, that the Pioneer effect represents a real phenomenon, is very
appealing for many reasons. What is lacking is a means of measuring the effect, its variation,
its potential anisotropies, and its region of influence.
The bottom line is that the Pioneer effect seems well-founded and has not been convincingly explained in terms of known physics or engineering parameters of the spacecraft
involved. Although spacecraft systematics remain the most likely explanation for the Pioneer effect, its potential existence is of great interest for a variety of fundamental physical
reasons.
1.4.3
Pioneer Effect Caused by Unknown Physics
Anderson et al. (2002a) also reviews a large number of potential explanations for the anomalous acceleration in terms of new physics. These include: whether the effect is due to dark
matter or a modification of gravity; whether it is a measure of space-time curvature and cosmological expansion (e.g., Solar System coordinates are not inertial coordinates); whether
it is due to a number of more radical variants on the relativistic gravity theme.
However, in the end, Anderson et al. (2002a) finds “no mechanism or theory that explains the anomalous acceleration.” Thus, in the minds of the authors of that paper, the
possibility of new physics could not be ruled out. Interest in the phenomenon continues.
11
For example, Anderson et al. (2002b) reports a potential consequence of a Pioneer effect on
the structure of the Oort cloud, and others attempt to explain the anomalous acceleration
as a manifestation of the cosmological constant (Nottale, 2003).
Some simple ideas that might seem to have potential for explaining the Pioneer effect
were explored in a different context. For example, Talmadge et al. (1988) investigated
the impact of a number of different gravitational alternatives (e.g., a different force law
exponent, a Yukawa-type distance dependence, and MOND 2 ) and found that the motion of
the inner planets is known so precisely from space-based measurements, that none of these
alternatives are feasible as modifications to gravity.
Some additional ideas investigated include modifying gravity with a Yukawa-type correction term (Capozziello et al., 2001), long range accelerations induced by a new scalar
field (Mbelek and Lachièze-Rey, 1999), and conformal gravity with dynamic mass generation (Wood and Moreau, 2001). A hypothetical superstrong interaction between photons or
massive bodies and individual gravitons as a cause of a nondoppler cosmological red shift
was investigated (Ivanov, 2002), as were other possible manifestations of the graviton background (Ivanov, 2001). Cosmological models in 4+1 dimensions with a changing time scale
factor were evaluated in the context of the Pioneer effect (Belayev, 1999), as were the time
variation of the Newtonian gravitational constant (Mansouri et al., 1999). More recently,
deformation of planetary orbits by a time dependent gravitational potential in the universe
(Trenčevski, 2005) and more exotic models have also been evaluated, including five dimensional brane worlds, which might manifest corrections to Newtonian gravity (Bronnikov et
al., 2006).
Exotic proposal continue. Østvang (2002) investigated explaining the Pioneer effect with
“quasi-metric” relativity, Belayev and Tsipenyuk (2004) looked at gravi-electromagnetism
in five dimensions, Rañada (2004) sought an explanation in the acceleration of clocks, and
McCulloch (2007) modelled the Pioneer effect as modified inertia. Other ideas that were
2
MOdified Newtonian Dynamics, a Newtonian gravity alternative which can be viewed as positing a minimum acceleration.
12
investigated include a variable cosmological constant and a test particle moving in a cloud
of dust (Massa, 2008), and the endless possiblities inherent in a rotating Gödel universe
(Wilson, 2008).
The point made by this somewhat lengthy, but very incomplete, summary of research
into potential “new physics” explanations for the Pioneer effect is that it has generated no
shortage of ideas, many devoid of any connection with empiricism, to explain this intriguing
phenomenon.
1.4.4
Are These Explanations Plausible?
As observed above, even the discoverers of the Pioneer effect believe that spacecraft systematics are its most likely cause. The problem is that investigators have been unable to
agree that reasonable values of the systematics are large enough to provide the observed
effect. The prosaic explanations are all reasonable and plausible; they just don’t seem to
add up to enough thrust to cause the Pioneer effect.
There are a multitude of such systematic effects and not all are well understood. Indeed,
even if the Pioneer effect is shown convincingly to not exist as an independent effect and
is merely due to systematics, the probable outcome of such a finding is that it would be
recognized that greater care is needed in characterizing spacecraft destined for high precision
missions. This endeavor would be worthwhile to engineers and others on its own merits.
With respect to the “new physics” causes, we must note that “new physics” presents
itself to us very infrequently and must be dealt with using the strongest possible skepticism. However, one must acknowledge that the payoff associated with “new physics” is
extraordinarily large and so we ignore exotic possibilities at our collective peril. Our entire
academic preparation is necessarily devoted to performing “standard science” rather than
the “new science” that is only very occasionally called for (Kuhn, 1996). Perhaps this is why
we all remember the pioneers of new areas even though those areas undergo great growth
in application and sophistication as time progresses, sometimes making the research areas
virtually unintelligible to their originators.
13
This dissertation provides two thrusts of fundamental importance. First, recognizing
that astrophysics is empirically based, we seek to develop an observational technique to explore the Pioneer effect. Certainly this approach is less expensive and easier than designing,
building, launching, and monitoring special purpose or piggyback space probes intended to
explore the Pioneer effect. At the very least these two approaches complement one another.
Secondly, this disertation will evaluate two less exotic possible explanations of the Pioneer effect that have not heretofore been investigated. Both of these approaches involve the
capture of dark matter into Solar orbit. In the first case, the underlying assumption is that
the dark matter consists of nonbaryonic elementary particles that interact with baryonic
matter through gravity (or else it would not suffice to be dark matter) and a hypothetical weak interaction. The other approach involves three body capture into Solar orbit
which would operate against any matter, dark or otherwise, orbiting the Galaxy. Thus, this
capture process is more general and, since it involves only gravity, would operate against
any possible dark matter candidate ranging from elementary particles to brown dwarfs and
mini-black holes (Titarchuk and Chardonnet, 2006).
1.4.5
Are These Effects Observable?
As outlined elsewhere in the dissertation, the problem of the Pioneer effect and determining
if it is real or not can be attacked in a number of ways. The theorists have been going wild
offering many alternatives to general relativistic gravity and even non-Newtonian offshoots
like MOND. Additionally, possible explanations relating to cosmological expansion, time
variations, inertial effects, and even more exotic possibilities have been discussed at length
in the literature. Unfortunately, in all these cases, what is missing is empirical evidence
beyond the few Pioneer effect observations.
Another class of approaches involve spacecraft. The European Space Agency is considering both special purpose and piggyback spacecraft intended to explore the Pioneer
effect. The recently launched New Horizons probe to Pluto and beyond has a lengthy spinstabilized cruise phase after its gravity assist maneuver near Jupiter and, after leaving the
14
Jovian magnetospheric tail, tracking data will start being recorded for analysis some time
in the future when funding is available 3 (see also Nieto, 2008). The distinguishing characteristic of these approaches is that the very expensive and time consuming process of going
from mission formulation and planning to spacecraft construction and finally launch and
mission conduct. Indeed, the only probe (New Horizons) currently en route and able to
contribute to the understanding of the Pioneer effect does not have funds to support the
requisite analysis, although there is hope that they will be available in the future.
In this dissertation another approach is offered. First, we will investigate the use of
bodies in the outer Solar System to attempt to measure the Pioneer effect. Although this
approach is likely to require a long-term observation campaign, it is inexpensive and complements potential space-based approaches. Secondly, we will investigate two alternative
causes of the Pioneer effect that have not elsewhere been evaluated. Both of these alternatives involve the capture of Galactic dark matter into Solar orbit and investigating the
potential for these processes to explain the Pioneer effect in terms of current physics. These
approaches are new in the context of the Pioneer effect and one approach, three-body capture, has the attractive feature that it operates on any type of dark matter that gravitates.
Of course, if dark matter doesn’t gravitate, it doesn’t satisfy the minimum requirements
for its invocation—explaining the rotation curves of galaxies and gravitational lensing by
clusters of galaxies.
1.4.6
The Broader Context
At first glance it might seem that the dissertation is heavily weighted towards, and highly
dependent upon, the existence of the Pioneer effect. We use the Pioneer effect as a not
currently understood empirical observation that is an exemplar of the type of gravitational
perturbation that could result from a lack of understanding of gravity at intermediate
distance scales. Because of this, the twin problem areas attacked in the disseration operate
upon a considerably broader stage. Table 1.1 attempts to capture this broader arena.
3
Dr. Michael Summers comment in George Mason University Space Science Colloquium, 1 Feb. 2006.
15
Table 1.1.
Implications of the existence or nonexistence of the Pioneer effect and dark
matter.
Does dark matter actually exist?
Yes
No
Pioneer
effect actually exists
Pioneer
effect does
not exist
Dark matter should be
captured into the Solar
System. Are there observable effects? If so,
does dark matter cause
the Pioneer effect?
“Standard Model” of
gravity OK. All’s right
with the world, except
if enough dark matter
is captured to have observable effects, do we
see it? If not, where is
it?
Our understanding of
gravity is limited. What
causes lensing? What
effects galaxy rotation
curves? What causes
the Pioneer effect?
Don’t understand gravity. Dark matter needed
to understand lensing,
galaxy rotation curves,
etc.
The two columns of this table reflect whether or not dark matter, as currently hypothesized, really exists; the two rows reflect the same of the reality of the Pioneer effect. Thus,
all of this restricted universe is represented in this matrix. It can be viewed as somewhat
similar to a standard hypothesis testing matrix from undergraduate statistics.
First, let’s assume that ongoing investigations of Pioneer tracking data, tracking of the
New Horizons probe on its way to Pluto, future space probes, or astrometric measurements
show that the Pioneer effect exists. Further, let us assume that dark matter actually exists
as well. This case corresponds to the upper left cell in Table 1.1.
Now, if enough dark matter has, in fact, been captured to be detected by the methods
investigated in this dissertation, the question arises as to whether this captured dark matter
could be the cause of the Pioneer effect. Depending upon the capture mechanism, we may
be able to place constraints on dark matter parameters such as mass, weak scattering cross
section, spatial density, velocity dispersion, etc. On the other hand, if not enough dark
16
matter has been captured to be observable, at the very least we can place bounds on the
phase space distribution of Galactic dark matter in the vicinity of the Sun, or perhaps
become aware that we need to consider other interaction and capture mechanisms.
Now, let’s suppose the Pioneer effect exists, but dark matter does not really exist. This
case corresponds to the upper right hand cell in Table 1.1. In this case, we don’t understand
gravity at all. What replaces the dark matter paradigm in explaining galaxy cluster lensing
and galaxy rotation curves? Another major question in this case is what causes the Pioneer
effect?
Conversely, suppose ongoing investigations of the Pioneer effect squarely place its origin
in spacecraft systematics, perhaps the most likely outcome. If dark matter really exists,
some of it should be captured into Solar orbit. If enough has been captured over the life of
the Solar System to have observable consequences by methods such as those investigated
here, where is it and why don’t we see it? On the other hand, if not enough has been
captured to have observable consequences, again we can at least hope to constrain the
phase space density of Galactic dark matter in the vicinity of the Solar System. This case
corresponds to the lower left hand cell in Table 1.1.
Finally, suppose the Pioneer effect is completely due to spacecraft systematics but suppose dark matter actually doesn’t exist. This situation is represented by the lower right
hand cell in Table 1.1. In this case, we have no broad understand of gravity at all and
need to consider new theories and what manifestations of gravity should be present at Solar System scales in an effort to understand what new model can replace the dark matter
paradigm.
The point of this discussion is that the Pioneer effect provides an observational indication
that there are issues with our understanding of gravity at multiple AU scales. We are
obligated to investigate this and determine what it means. However, even if the Pioneer
effect doesn’t exist, the existence of dark matter should lead to its capture into Solar orbit.
At the very least, astrometric observations like those investigated here can place constraints
on the distribution of Galactic dark matter in the vicinity of the Sun.
17
1.5
Organization of Dissertation
The remainder of this dissertation is broken up into three parts. Part I deals with the first
problem area listed above: The investigation of gravity in the outer Solar System by means
of astrometry. Part II deals with dark matter capture scenarios and discusses whether any
gravitational effects in the outer Solar System would be detectable. Finally, Part III offers
discussion and conclusions.
Parts I and II are organized in a similar fashion. Each part has an overall “Methods
and Models” chapter that discusses tools and techniques having application throughout
each individual Part. Individual chapters are then presented that cover the main issues
surrounding the subject area of each Part. Each of these contains a “Methods and Models”
section that describes techniques specific to the problem area of each particular chapter,
followed by “Results” and “Discussion” sections. After all the expostulation chapters are
presented, a concluding chapter gives a summary of the results found in the Part.
Part I contains six chapters. Chapter 2 discusses methods and models used across
the other chapters in Part I. Chapter 3 discusses the use of asteroids as gravity probes.
Chapter 4 discusses the use of major planets as gravity probes, and Chapter 5 does the
same for comets. Chapter 6 discusses the impact of LSST and Pan-STARRS on our ability
to measure small perturbations to gravity in the outer Solar System through astrometry.
Finally, Chapter 7 provides a summary of Part I.
Part II contains four chapters. Chapter 8 provides a discussion of methods and models
used across all parts of Part II. Chapter 9 describes our investigation of the capture of
Galactic dark matter through a weak interaction with matter in the Sun. Similarly, Chapter
10 describes the three body dark matter capture scenario and its implications. Finally
Chapter 11 provides a summary of the results of our investigation of the consequences of
dark matter capture.
Part III offers discussion and conclusions relating to the work carried out in the dissertation. Chapter 12 presents conclusions, including the impact of the dissertation, possible
18
future research areas representing a continuation of the dissertation research, and the importance of that proposed program.
19
Part I
Investigation of Gravity Through
Astrometry
20
Chapter 2: Astrometric Methods and Models
There are three computational areas associated with this part of the dissertation. The first
is related to the observation of the positions of celestial bodies and the conversion of these
measurements to orbital elements at some epoch (these are equivalent to initial conditions at
some time). The second involves propagating the orbital elements forward in time, taking
into account various perturbations like those caused by planets and asteroids, as well as
effects like general relativity, light travel time, the Yarkovsky effect, stellar aberration,
observer location, and many others. The third area deals with introducing Solar System
dynamics into the orbital solution. Discussions of these areas cover the methods to be used
to assess the ability to measure and characterize gravity and the Pioneer effect through
astrometry of minor planets and other bodies in the outer Solar System. An additional
methodological area that will be discussed here includes geometrical aspects of the problem
such as angular separation in spherical trigonometry and related ideas.
We will use publicly available software as a basis for the first two areas, modified as
required to handle the Pioneer effect perturbations. The software we have chosen is OrbFit,
available from the OrbFit Consortium. 1 This sophisticated program makes use of JPL
ephemerides for Solar System dynamics and has been widely used in the celestial mechanics
community. Its methodologies have been thoroughly vetted by means of articles in the
peer-reviewed literature (Milani, 1999; Milani and Valsecchi, 1999; Milani et al., 2000).
Additionally, OrbFit is available in source code, allowing the requisite modifications to be
easily made. The final area of discussion makes use of the JPL DE405 ephemeris, which
describes motion of Solar System bodies over the time frames of interest here.
1
The OrbFit software and documentation is available from http://newton.dm.unipi.it/orbfit.
21
2.1
Astrometry
When observations of celestial bodies are made, one normally only obtains a direction
specified by two angles at a particular time. Further, seeing conditions and optical issues
mitigate the precision with which these angles can be measured. With a nominal instrument
under nominal conditions, a distant asteroid’s point spread function has a FWHM of about
a second of arc. How can this imprecise blob of jittering light result in subarcsecond
astrometric measurements of the object’s position? The answer is found in using a least
squares technique to fit the position of an object of interest relative to a reference net of stars
whose positions are accurately determined by other means. In the remote pre-computer
days, this type of data manipulation must have been extraordinarily intimidating, but
today there are a number of validated programs that perform the task quickly and easily in
combination with large catalogs of accurately determined stellar positions. This statistically
based method results in astrometric positions from ground based CCD observations accurate
to as little as 0.3 seconds of arc.
The equations of motion of an object moving under a central force contain six degrees
of freedom and thus require six initial conditions to be specified. In elementary physics
courses, we would normally choose the initial position and velocity of the object as the
initial conditions to be specified. However, in orbital mechanics we ordinarily specify a
more general set of parameters that are more widely comparable when considering families
of objects. Orbital elements are a set of six quantities that specify the position and velocity
of a body at a particular moment in time. This is equivalent to specifying the orientation
of a Keplerian ellipse and the position of the body on the ellipse at a particular time. Of
course, these quantities are initial conditions for the dynamical problem of determining
the motion of the body in question. An often-used set of elements is partially illustrated
in Figure 2.1. One must, however, be cautious with definitions as these elements are not
uniquely defined. For example, an alternative element that is often used is the “longitude
of the pericenter” (e
ω ), which is the sum of the non-coplanar angles ω and Ω in Figure 2.1,
surely an odd, non-physical choice for a parameter.
22
A nominal set of Keplerian orbital elements begins with the orbit’s semimajor axis (a)
and eccentricity (e), whose familiarity precludes the need for further explanation. These two
elements describe the size and shape of the elliptical orbit. The orbit’s orientation in space
is defined by three elements shown in Figure 2.1. These elements include the inclination
(i), the longitude of the ascending node (Ω), and the argument of perihelion (ω). The
inclination is the angle between the plane of the orbit and a reference plane normally taken
as the ecliptic plane. Ω is the angle between a reference direction (normally the vernal
point) and the line of intersection of the orbit and the reference plane, measured in the
reference plane. The argument of perihelion locates the perihelion of the orbit by means
of the angle between the line of intersection between the orbit and the ecliptic, and the
location of the perihelion of the orbit. Finally, the position of the object in its orbit is
specified in a number of ways. One way illustrated in Figure 2.1 is the true anomaly, the
angle between the position vectors of the perihelion and the object, measured at the center
of attraction. Another way of locating the object is through the Mean anomaly (M ), which
describes the position of an object on an auxilliary circular path.
In this application, we are also dealing with “classical” observations consisting of two
angles describing the position of the object on the sky at a moment in time. Orbital determination when one has range information, for example with radar observations, is a completely
different mathematical problem. This latter area is sometimes called “astrodynamics.”
At the outset, we must realize that there is no known way of determining the elements
of an orbit directly from observations. We measure angular positions of objects in the sky
and then, through a mathematical process, convert the measurements into a geometricallly
meaningful set of parameters called orbital elements. Normally, we proceed by using numerical methods to determine a “preliminary orbit” from a few initial observations. Then, as
more observations become available, we improve our knowledge of the orbital elements by
a process called “differential correction” that minimizes the difference in position between
the calculated orbit and the observed one. Eventually, we produce the “definitive orbit.”
This problem was first surmounted by Kepler, who found the distance to Mars and then
23
Figure 2.1 Keplerian elements are often used to describe the size, shape, and orientation of
orbits. There is one element for each degree of freedom in the dynamical problem, and they
are equivalent to specifying the initial conditions of the problem. The semimajor axis (a)
and eccentricity (e) specify the size and shape of the orbit. The inclination (i), longitude
of the ascending node (Ω), and argument of perihelion (ω) specify the orbit’s orientation
in space, and the mean anomaly (M ) or, alternatively, the true anomaly (ν) specifies the
position of the object along the orbit.
its orbit. Kepler observed Mars at two times separated by a Martian sidereal year and
used the observed parallax to determine the distance to the planet. The problem with this
method is that observations are needed over multiple revolutions of the body in question
and this became impossible in 1801 with the discovery of Ceres. Ceres was faint, and to
predict the proper area of the sky to search, some method had to be found to determine
the orbit from a small part of one revolution rather than many orbits. Gauss’ genius came
to the rescue.
Although there are other methods, including one originated by Laplace, Gauss’ method
and its elaborations is the one most often used for determination of the initial orbit. After
being improved for over 200 years by some of the greatest mathematicians, the method is
formidable although not a panacea. Gauss’ method is not trivial and reviewing it provides
a new respect for its discoverer’s abilities. However, for brevity, we note that the basis of
the method is to take three observations (containing six angles) and making a “reasonable”
assumption about the distance to the object at one of the observations. Then an iterative
24
procedure is followed to determine orbital elements that satisfy the initial observations. The
superiority of Gauss’ method arises from its making approximations to the dynamics of the
motion while treating the geometry of the observations in a precise manner. In modern
terminology, Gauss’ method is a second order approximation. Nevertheless, the errors in
the observations coupled with the limited knowledge imparted by only three observations
makes this initial orbital determination of little practical utility except as a starting point.
Many more observations are normally needed to refine the elements to a useful degree.
Gauss’ method is covered adequately in the literature (Collins, 1989; Danby, 1988; Marsden, 1985, for example). However, for the sake of completeness we will summarize the
method here. If ri , Ri , and ρi are vectors from the Sun to the object, the Earth to the
Sun, and the Earth to the object, respectively at the ith observation, Gauss’ method begins
by assuming that the three r vectors lie in a plane. Thus, there exist scalars c 1 and c2 such
that
r2 = c 1 r1 + c 3 r3 .
(2.1)
Then, to introduce the dynamics, let
r1 = f 1 r2 + g 1 v2 ,
r3 = f 3 r2 + g 3 v2 .
(2.2)
These immediately give
r2 = c1 (f1 r2 + g1 v2 ) + c3 (f3 r2 + g3 v2 ).
(2.3)
If Eq. 2.3 is post-mulitipled by ×v2 and pre-multiplied by r2 × we get
c1 f1 + c3 f3 = 1,
c1 g1 + c 3 g3 = 0
25
(2.4)
which can be solved to give
c1 =
g3
,
f1 g3 − g 1 f3
c3 = −
g1
.
f1 g3 − g 1 f3
(2.5)
Now, the observer can be introduced by substituting the identity
ρi = R i + r i
(2.6)
c1 ρ1 − ρ 2 + c 3 ρ3 = c 1 R1 − R 2 + c 3 R3 .
(2.7)
into Eq. 2.1 to give
It is worth contemplating the meaning of Eq. 2.7. We know the position of the Sun and
this gives us the three R vectors. We know two-thirds of the components of the ρ vectors
because they are our measurements of the position of the object of interest in the sky.
Assuming the validity of the Keplerian orbit model, we can estimate the c parameters.
Although there are other ways to proceed, these three scalar equations can be solved for
the radial positions of the object relative to the Earth. These quantities can then easily be
transformed back into a heliocentric coordinate system and the elements of the preliminary
orbit can be determined.
As noted above, the results of applying Gauss’ method is to provide elements of the
preliminary orbit. The equations used in Gauss’ method are ill-conditioned and many
factors can influence the values and errors of the resulting elements. To be useful, these
elements must be improved somehow.
The method used to improve the orbit and obtain the “definitive orbit” through additional observations is called “differential correction.” Entire books have been written about
this process, but we will summarize it here because the actual solution of this problem is
not part of the dissertation, rather is the result of using existing, well-validated code that is
26
widely used in the celestial mechanics community (i.e., OrbFit). Differential correction uses
a least squares approach to iteratively refine the estimates of the elements as more observations become available. Additionally, statistical information on the errors of the elements
naturally results from the differential correction process, at least subject to reasonable assumptions. This process results in a set of orbital elements, along with error estimates
for the elements and covariance parameters showing the degree to which the elements are
correlated.
Differential correction is a widely known technique for improving the characterization of
orbits as more observations are made (see Danby, 1988; Moulton, 1914, for example). We
will summarize the technique here for completeness. The ansatz for the standard approach
is to treat the problem as a “model” that produces an output from a set of inputs. In
this case, the inputs would be a set of orbital elements and the outputs a set of predicted
position coordinates of the object of interest. In this case, the model might be that of two
body motion in an inverse square force. Thus, if our model is viewed as a function (or
computer program), we can write
Yc = Y (X),
(2.8)
where the subscript indicates “calculated.” There are also “observed” quantities that will
be denoted by Yo that will not, in general, be equal to the calculated values. Differential
correction assumes the model is correct; it uses the discrepancies between the Y o and Yc
to improve the value of X. Now, assuming there are no errors in the observations, our
problem is reduced to solving
Yo = Y (X)
(2.9)
for X. We can begin this process with an estimated solution, X 0 , from which we can
calculate the corresponding values for the observations
Yc = Y (X0 ).
27
(2.10)
Then, we can calculate a residual
y = Y o − Yc .
(2.11)
Now, with a correct model and no observational errors, there will be a correct value of X
that is related to the starting estimate by
X = X0 + x.
(2.12)
As indicated above, we wish to use y to find an approximation for x. The easiest way to
proceed is to assume that the squares and higher powers of x can be ignored. Then, Eq.
2.9 becomes
Yo = Y (X0 + x)
(2.13)
and, if we let J be the Jacobian matrix evaluated at X 0 , we have
Y (X0 + x) ' Y (X0 ) + Jx.
(2.14)
This uses the differential Jx to approximate the difference between Y (X 0 + x) and Y (X0 ),
which provides the name “differential correction” for this process.
If Eq. 2.14 is taken as exact, then we have to solve the equation
Jx = y.
(2.15)
If the number of observations is equal to the number of unknowns (e.g., the six orbital
elements), then the matrix J is square and, if it’s invertible, a solution to Eq. 2.15 can be
found by standard methods. However, if observational errors and many more observations
are introduced, the J is no longer square and the problem becomes grossly overdetermined.
Generally, a least squares approach is used to develop a solution.
An interesting aspect of the approach outlined above is that data about the quality of
the solution comes about in a natural manner. Thus, covariance and correlation matrices
28
provide useful information that can be used with profit.
As outlined above, the differential correction problem can be stated as a linear matrix
equation Ax = b, where A is an appropriate Jacobian matrix, x is a vector of elements,
and b is a vector of observations. The normal equations are formulated by multiplying this
equation by the transpose of A (denoted by A T ), giving AT Ax = AT b. This system of
equations is solved formally by inverting the A T A product and multiplying again, giving
x = (AT A)−1 AT b. In general, the A matrix is not square. It has a column for each orbital
element (e.g., six columns) and a row for each measured sky coordinate (e.g., twice the
number of observations). However, the A T A matrix is square and possesses a corresponding
set of eigenvalues. The ratio of the largest to the smallest eigenvalues of the A T A matrix
provides an upper limit on the condition number of the normal equations. However, the
condition number of the normal equations is the square of the condition number of the A
matrix. Thus, the original equation Ax = b has a condition number equal to the square
root of the condition number of the normal equations.
It is worth remembering that the equations governing celestial mechanics are nonlinear
and normally a linearized version of the problem is used to determine the covariances and
elements. The nonlinearity manifests itself in occasional difficulties in determining elements.
These problems can be exacerbated by occasional failure of Gauss’ method to converge
with a solution for the initial orbit. These problems, which can arise at any time, can be
ascribed to bad geometry, bad timing, bad luck, and errors. For example, if observations
are made of a high eccentricity object as the object is moving along its orbit in such a way
as to foreshorten the angular distance between the observations, Gauss’ method may not
converge. This is equivalent to having too short an observational arc and in some sense the
failure to converge is a sign that any solution would likely have been meaningless anyway
due to errors. Bad timing can produce observations that are made too close together in
time. In a fashion similar to the bad geometry case, this can result in a poor or even
no solution. Bad luck can occur if the object is too close to a star in the field. In this
case the determination of the centroid of the object can be wrong, leading to either an
29
erroneous solution or a failure to converge. Finally, inevitable errors can result in a failure
to converge. For example, if the middle observation of a set of three is such as to change the
apparent curvature of the orbit, no meaningful solution may be found. Even if the initial
orbit is determined successfully, differential correction can fail. Imagine, for example, the
situation if observations thought to belong to a single object actually belong to two or more
independent objects. The definitive orbit so determined very likely would be meaningless.
2.2
Celestial Mechanics
The results of the process just discussed are often termed “osculating elements,” which
means that they are only valid for the moment (or epoch) for which they are calculated. The
values of the elements can be viewed as having validity only as long as a Keplerian elliptical
orbit is sufficiently accurate to describe the orbit for the purpose at hand. This is equivalent
to a sort of Taylor series expansion for the solution of the central force problem. Clearly,
this is insufficient for the purposes of the dissertation; more sophisticated approaches must
be brought to bear.
The equations of motion for the two body central force problem are of the form
r̈ + ∇Φ = 0,
(2.16)
where Φ is the potential of a point source of gravity located at the origin and is given by
Φ=−
GM
.
r
(2.17)
If there is an additional source that can be represented by a potential (perhaps due
to the planets in the Solar System), and the forces resulting from this potential are small
compared with those arising from Φ, we can write the equations of motion thus
r̈ + ∇Φ = ∇Ψ(r, t),
30
(2.18)
where Ψ is, by convention, the negative of the perturbing potential.
If Ψ is a constant, we already know the solution to these equations: an ellipse that
can be described by its orbital elememts. If Ψ is not a constant, a reasonable question
to ask is how the elements are effected by the perturbing potential. The answer to this
question shows how the elements derived from observation change with time. This permits
the position of the object to be described as a function of time.
Notionally, this is how the dynamics of the Solar System is brought into the problem of
predicting the positions of celestial objects. However, rather than integrating the perturbed
equations of motion directly, with the associated errors that would arise from taking some
initial set of elements for each planet and integrating them with the motion of our body,
we make use of the work of others.
Additional forces may also be brought into the problem at this point. For example, the
Yarkovsky Effect is an orbital perturbation that results from anisotropic thermal radiation
emitted by the object. Similarly, nongravitational accelerations, for example, those due to
the outgassing of comets, can also act as additional perturbations.
Using the positions of the planets (and, if desired, the larger asteroids and moons)
from the ephemeris, and calculating forces due to other perturbing effects, the equations of
motion can be integrated for the object of interest. At any moment the elements may be
formed from the solution for a tangent orbit. These would be the osculating elements at
that epoch.
This whole process may also be associated with a number of additional errors that must
be characterized. Some are associated with the numerical integration of the equations of
motion. Some are inherent in the choice of coordinates. For example, if the orbit is circular,
there is no perihelion or time of perihelion passage. Similarly, if the orbit’s inclination is
zero, the line of nodes is not defined. Problems like this can be handled merely by altering
the coordinate system. For example, measuring the true anomaly or the time at which the
object is at the vernal equinox would handle both these problems.
In obtaining elements from observations, however, there is no advance warning about
31
these pathological situations. If the inclination is small, the error in the longitude of the
ascending node will be large. Similarly, if the eccentricity is small, the error in the argument
of perihelion will be large and the time of perihelion passage will be poorly defined. These
problems are overlooked a surprising amount of time. As alluded to earlier, our initial paper
in this research area has been cited a number of times regarding the observability of the
Pioneer Effect in the motion of the outer planets. Our observation that the outer planets
eccentricities are too small for this to occur has been dismissed by a number of authors
who believe this not to be the case. These issues are dealt with in Chapters 3 and 4 of this
dissertation.
In any event, the process outlined above must be carried out to enable predictions of the
positions of objects on the sky in the future. The errors associated with the predictions must
be accounted for when specifying object sky positions and the propagated errors associated
with the predicted position must be compared statistically to determine whether a truly
observable difference can be asserted between alternative models of gravity.
2.3
Sources of Perturbations
The Solar System’s dynamics are known sufficiently well that a number of perturbation
sources beyond those already discussed must be considered. In addition to the obvious
perturbers of the Sun, the planets, and an array of asteroids, some of the other effects that
must be considered include the following.
The famous general relativistic precession must be included in the positional calculations. The motion of objects relatively close to the Sun are impacted by this effect sufficiently to impact position predictions unfavorably. Additionally, the Sun is not spherical
and possesses a quadrupole moment. This makes the Sun’s gravitational potential spherically asymmetric and has an effect on the motion of small bodies.
For small bodies, Poynting-Robertson drag must also be considered. This is a relativistic
consequence of radiation pressure and leads to a drag force that can impact the motion of
small bodies in the Solar System.
32
Similarly, the Yarkovsky effect is capable of impacting the motion of small Solar System
bodies. It is an effect of asymmetric reradiation of radiation received from the Sun and the
reaction forces involved can have a surprising impact on the orbital state of objects.
Similarly, stellar aberration and light travel time have to be taken into account in order
to accurately predict the positions of bodies in the Solar System.
The OrbFit software considers all these factors in making its orbital predictions.
2.4
Solar System Dynamics
In the U.S., NASA’s Jet Propulsion Laboratory has become the standard source for Solar
System dynamics for the U.S. space program and much of the rest of the world as well.
There are a few competing Solar System ephemerides that can be used to describe the
perturbing potential, but we will use the JPL ephemeris, DE405.
The DE405 is one of JPL’s most recent general purpose ephemerides and represents
the culmination of a continuing process of ephemeris improvement. The source data for
the ephemeris consists of well over 40,000 optical observations (from 1911 to the present),
over 900 radar ranging observations (of Mercury, Venus, and Mars), almost 2,000 spacecraft
observations, over 11,000 lunar laser ranging observations, and observations of orbital residuals of Jupiter in the motion of spacecraft (the two Pioneers, the two Voyagers, Ulysses,
and Galileo), and 300 selected asteroids.
The equations of motion of the planets were integrated from 3000 BCE to 3000 CE.
However, only the interval from 1600 to 2200 CE has been fit with full precision Chebyshev
polynomials. It is this set of polynomials that constitutes DE405. In addition to being
well-documented (Standish 1998), the ephemeris is used in practice for guiding spacecraft
on their way.
Various JPL ephemerides are freely available for download from http://ssd.jpl.nasa.
gov/?ephemerides#planets.
33
2.5
Geometrical Aspects
Before continuing, a brief look at two simple geometric aspects of our problem is in order.
A great deal of commentary will be offered in the upcoming pages on angular separation
and error ellipses. Of course, this is related to determining whether an angular separation
between two objects will actually be observable.
Generally, we will be dealing with the equatorial coordinate system where sky positions
are specified in terms of a right ascension (α) and a declination (δ). α is comparable
to the customary φ coordinate and δ is comparable to the complement of θ in spherical
coordinates. In a standard right handed coordinate system, these can be decomposed into
cartesian components as
x = cos δ cos α
y = cos δ sin α
z = sin δ.
(2.19)
Note that these are three components of a unit vector.
If we take two such positions and take the dot product between them we can write
cos γ = cos δ1 cos α1 cos δ2 cos α2 + cos δ1 sin α1 cos δ2 sin α2 + sin δ1 sin δ2 ,
(2.20)
where γ is the angle between the two vectors.
This can easily be rewritten as
cos γ = cos δ1 cos δ2 cos(α1 − α2 ) + sin δ1 sin δ2 .
(2.21)
Another issue that will come up repeatedly in what follows is the question of the magnitude of a sky position error in a certain direction. Generally, OrbFit provides the semimajor
and semiminor error ellipse magnitudes along with a position angle of the principle axis of
34
the ellipse.
If E1 and E2 are the two principle axes of the error ellipse and θ is the angle between
two points, it is easy to show that the magnitude of the error in a direction indicated by θ
is given by
E1 E2
.
σ=q
E22 cos2 θ + E12 sin2 θ
(2.22)
This expression can easily be rewritten as
E1 E2
.
σ=p
1 + [(E1 /E2 )2 − 1] sin2 θ
(2.23)
Finally, if the error ellipse is rotated through an angle θ err , it is easy to see that the
projection of an error in the direction given by θ on this ellipse is
E1 E2
.
σ=p
1 + [(E1 /E2 )2 − 1] sin2 (θ − θerr )
(2.24)
Thus, σ is the error in a direction given by θ when the error ellipse is oriented with its
major axis at a position angle of θerr .
35
Chapter 3: Asteroids as Gravity Probes1
In keeping with the program outlined earlier, the purpose of this chapter is to assess the
feasibility of using observations of minor planets to evaluate the gravitational field in the
outer Solar System and thereby explore the Pioneer effect using precision astrometry. Although this methodology would have less temporal resolution and lower sensitivity to the
magnitude of a detectable perturbing acceleration than would a spacecraft, this kind of
observation program has the potential to be low in cost and to explore a possible perturbation effect along a number of vectors through the Solar System which would otherwise
require multiple spacecraft. Such an observation program could have profound effects on
our understanding of the mass distribution in the outer Solar System, and could also assist
in discriminating between alternative gravitational theories such as MOND and classical
gravity, as well as more exotic gravitational theories.
The remainder of this chapter is organized into four sections. Section 3.1 describes the
methodology used to evaluate the Pioneer effect and the models used in the calculations.
Section 3.2 addresses our results in terms of observational quantities that might be used to
illuminate the mass distribution in the outer Solar System. Section 3.3 discusses the results
and addresses observational aspects of actually carrying out the program outlined in this
paper. Finally, Section 3.4 draws conclusions.
In what follows, we will first outline methodological issues relating to this topic alone.
This material, coupled with the overall “Methods and Models” information presented in
Chapter 2 should suffice to provide an understanding of the methods used in this chapter.
The results of our investigations are next presented and discussed in terms of observational
quantities that might be used to illuminate the mass distribution in the outer Solar System.
1
A preliminary version of the material in this chapter was presented orally at the 207th meeting of the
AAS (Page et al., 2005); a later version was published as Page et al. (2006).
36
Finally we present some conclusions related to this facet of the overall work.
3.1
Methods and Models
The approach taken in this chapter is twofold. First, we model the orbits of bodies in
the outer Solar System by means of Newtonian gravity and two-body, planar motion. We
consider the Sun’s field to be spherically symmetric and ignore the gravitational perturbations due to planets and the larger asteroids on the motion of the bodies of interest. While
the importance of these effects is recognized, especially during the conduct of precision
astrometry, they do not need to be considered in detail in the beginning of assessing the
feasibility of our approach. Initially, we only explore the perturbative effects of the Pioneer
effect on orbits. Since these effects, to first order, are linearly independent of other orbital
perturbations (e.g., perturbations due to planets), the latter can be safely ignored. Other
perturbations, for example the anisotropic thermal radiation giving rise to the Yarkovsky
Effect, cometary nongravitational forces, General Relativity, and the Pioneer effect will be
addressed as appropriate.
The general approach used in this phase of our analysis is to model the motion of bodies
of interest subject to the perturbing forces of interest and to compare the heliocentric
angular differences between the bodies in the different cases. The time evolution of these
angular differences is considered along with the distances of the bodies and the precision with
which their orbits are known to determine whether or not the effects of the perturbations
can be detected and whether they can shed any illumination on the nature of the mass
distribution in the outer Solar System.
The approach outlined above is used for sample selection and provides a vehicle for
first order exploration of the effects that might be observed if the Pioneer effect were real.
This approach would be complete in an ideal world, but we must perform our science in a
messier reality, necessitating the second phase of our approach. Because the motions of minor planets are complex, we need to carry our analysis one step further. Since unavoidable
observational errors and the motions of many perturbing bodies influence the dynamics of
37
minor planets, the general approach towards understanding their motion involves determining orbital elements in such a way as to minimize discrepancies between observation and
prediction. In our context, the problem is that adjustment of orbital parameters might
allow motion perturbed by the Pioneer effect to be masked completely and might make
the Pioneer effect unobservable in practice. For example, a change in orbital eccentricity
might allow motion perturbed by the Pioneer Effect to be explained completely in terms
of a non-Pioneer model. In this case, there would be no way to show the existence of the
Pioneer effect because the effect would be concealed beneath the variation resulting from
measurement errors.
In order to address these issues, we use the OrbFit software package (Milani, 1999).
This program, freely available on the internet, uses observational data and data on the
dynamics of the Solar System to determine orbital elements and predict ephemerides for
minor bodies. This tool is used in an extensive analysis of one of our candidate asteroids,
(5335) Damocles. The primary purpose of this phase of the analysis is to demonstrate that
the dynamic effects due to the Pioneer effect are, in fact, measurable through observations.
To that end, we added a simple option in OrbFit to include the force arising from the
Pioneer effect. By comparing hypothetical orbits with and without the Pioneer effect, we
explore the expected effect of such a perturbation on asteroid orbits and examine when this
effect can be detected astrometrically.
Finally, we need to comment on the working definition of the Pioneer effect used throughout this chapter. Since the primary intent of this paper is to investigate the dynamical
consequences of the Pioneer effect, which apparently begin about 20 AU from the Sun, for
simplicity, and because there are no data showing a more gradual onset of the Pioneer effect,
we will assume the anomalous acceleration of the Pioneer effect begins abruptly at 20 AU.
We recognize that this is a simplistic model of the Pioneer effect. Alternative mechanisms
exist that cause the Pioneer Effect to vary with object mass, orbital eccentricity, radial
distance, and other parameters of the motion. As further observations of minor planets
become available, they can potentially be used to investigate various force models in order
38
to explore all possibilities until either the Effect is ruled out or its origin is found. However,
the current status of information on the Pioneer effect dictates that this simple model be
investigated first. Furthermore, a perturbation beginning more gradually closer to the Sun
would be more easily detectable. Thus our assumptions represent the minimum plausible
perturbation from this effect given the available data.
3.1.1
Minor Planets
Before discussing minor planets, a few words on major planets are in order. These objects
have been observed for very long periods of time and a great deal of effort has been devoted
to explaining their motion. Why is it that evidence of the Pioneer effect has not been seen in
their motion? The answer is twofold. First, the orbits of the inner planets are known with
great precision, with elements derived from highly accurate data including superb ranging
data from numerous spacecraft, and do not show any evidence of the Pioneer effect. This fits
with our definition of the Pioneer Effect as having no influence at relatively small distances
from the Sun. On the other hand the ephemerides of the outer planets are almost entirely
based on optical observations (Standish, 2004) and are much less accurate than those for the
inner planets. In fact, Neptune has not even completed one revolution about the Sun since
the introduction of reasonably sophisticated measuring instruments (e.g., the impersonal
micrometer) in 1911 (Standish, 2004) and Pluto has not completed a revolution since its
discovery. Modern astrometry can obtain angular positions with reasonable accuracy, but
the mean motions of the outer planets and their radial distances are quite uncertain. Thus,
any Pioneer effect perturbation on these bodies would be masked by uncertainty in the
orbital semimajor axis.
Given these uncertainties, we must conclude that the outer planets do not represent
good candidates for astrometrically determining the reality of the Pioneer effect. Pluto
might present such an opportunity, but its orbital elements require refinement. Many other
bodies that go beyond 20 AU from the Sun have low eccentricities and, by extension, similar
distance uncertainties, making their use for our purposes problematic and further reducing
39
the number of candidates available for consideration. However, a complete analysis of these
issues is presented in chapter 4.
As far as comets are concerned, there are surprisingly few whose orbits are both known
sufficiently accurately to be of interest and whose aphelion distance is greater than our
assumed Pioneer effect cutoff. Additionally, because of their extended natures, it is difficult
to unambiguously determine the center of light of the comet and even that is not necessarily
indicative of the actual location of the nucleus. Thus, determining the precise location of
comets so that their orbits can be determined accurately is quite difficult. A complete
analysis of comets in this application is presented in chapter 5.
Since low-eccentricity minor planets and comets are not suitable for the purposes of this
paper, we hereafter restrict our attention to high-eccentricity objects whose orbits carry
them sufficiently far from the Sun to be exposed to the Pioneer Effect as defined earlier.
For brevity, in what follows we will use the term “asteroid” to indicate “unusual” minor
planets, Trans-Neptunian Objects (TNOs), and Centaurs, which can be characterized by
relatively large semimajor axes and relatively high eccentricities.
3.1.2
Asteroid Sample Selection
There are surprisingly few asteroids whose orbits are both sufficiently well known to be
of interest and whose aphelion distance is greater than our assumed Pioneer effect cutoff.
Since asteroids are “dead” in an outgassing sense, they do not suffer NGFs as do comets.
However, they do experience the Yarkovsky Effect, which is an acceleration resulting from
anisotropic thermal radiation, and general relativistic perihelion precession. These effects
will be addressed later, but using a selection criterion that asteroids have an aphelion
distance greater than 20 AU, Horizons (Giorgini et al., 1996) provided a candidate list of
985 asteroids. This selection criterion provides candidate objects that pass far enough from
the Sun to be subject to the Pioneer effect. In order that the asteroids approach closely
enough to the Sun to enable them to be observed and their orbital elements to be determined
with sufficient precision, we also excluded asteroids whose perihelion distances were greater
40
than 20 AU. Further, in order that a reasonably significant part of an orbit be observed in
a realistically short period of time, asteroids whose period of revolution exceeded 200 years
were also excluded. Finally, asteroids with eccentricities less than 0.6 were excluded.
The eccentricity criterion deserves further explanation. If we consider a constant radial
perturbation applied to a Keplerian orbit, Lagrange’s planetary equations (in the Gaussian
form) provide for a nonzero time rate of change in eccentricity, semimajor axis, mean motion,
and argument of perihelion (Danby, 1988). If these rates are normalized by common factors,
the normalized rate of change in eccentricity, argument of perihelion, and mean motion are
smaller than that of semimajor axis by a factor at least as large as the semimajor axis.
The only exception to this is for very small values of eccentricity, where the argument of
perihelion can change quite rapidly. This can be understood by realizing that the primary
manifestation of the Pioneer effect lies in causing the orbit to precess. Considering a nearly
circular orbit, a very slight precession can lead to a large angular change in perihelion
position. It is very difficult to accurately determine a complete set of orbital elements of such
an object; thus, we preferentially choose to consider more eccentric orbits, specifically those
with eccentricity greater than 0.6. These bodies are selected because of the much larger
changes in orbital elements associated with those objects than those with more modest
eccentricities. Table 3.1 shows selected orbital elements of the resulting list of 15 candidate
asteroids with orbital geometry satisfying these criteria.
3.2
Results
Since asteroids are dynamically “dead” and do not outgas, and don’t exhibit non-gravitational
accelerations as do many comets, they generally behave in a much more sedate and predictable way. Additionally, since they do not display comae, they are point sources and it is
easy to unambiguously locate their positions. However, in regions where it is postulated, the
magnitude of the Pioneer effect is significantly less than the acceleration due to the Sun’s
gravity. At a distance of 20 AU, the gravitational acceleration due to the Sun is approximately 1.5×10−3 cm sec−2 , compared with the Pioneer effect acceleration of 8.74×10 −8 cm
41
Table 3.1 Orbital parameters of asteroids susceptible to the Pioneer effect.
Asteroid
(5335)
(8405)
1995SN55
1996AR20
1997MD10
1998QJ1
1998WU24
(20461)
1999XS35
2000HE46
2001XA255
2003UY283
2003WN188
2004CM111
2004PA44
a
11.837
17.999
23.564
15.197
26.509
11.255
15.201
23.803
18.079
23.540
30.179
33.454
14.538
33.180
14.168
e
0.866989
0.620309
0.663131
0.627202
0.941736
0.813052
0.906005
0.899499
0.947578
0.899577
0.689427
0.895188
0.848719
0.851053
0.757876
T
40.73
76.36
114.39
59.25
136.49
37.76
59.27
116.13
76.87
114.22
165.79
193.50
55.44
191.12
53.33
Q
1.574
6.834
7.938
5.666
1.545
2.104
1.429
2.392
0.948
2.364
9.373
3.506
2.199
4.942
3.430
A
22.099
29.164
39.190
24.729
51.474
20.405
28.973
45.213
35.210
44.717
50.985
63.401
26.878
61.417
24.906
Notes: a is semimajor axis in AU, e is eccentricity, T is
period in years, Q is perihelion distance in AU, and A is
aphelion distance in AU.
sec−2 . Thus, because of its small magnitude, a number of external factors might contribute
to or explain the Pioneer effect.
One such phenomenon is the Yarkovsky Effect, which is a anisotropic reaction force
associated with infrared reradiation of absorbed Solar radiation. In the typical treatment,
the Yarkovsky Effect is much more important for small bodies that are regolith-free than
for larger objects, or those possessing a thermally insulating layer of regolith.
The Yarkovsky Effect is generally considered to be of two forms, the “diurnal” effect
occurs when the rotation of the body about its axis causes reradiation to occur at a different
“time of day” than when the Solar radiation was absorbed. The “seasonal” Yarkovsky Effect
occurs, for example, when the rotation period of the object about its axis is much shorter
than the orbital period. When this occurs, the “diurnal” thrust averages to zero, while
the reradiation occurs at different times in the body’s orbit about the Sun (Spitale and
42
Greenberg, 2001). The diurnal effect can either expand or contract orbits; the seasonal
effect always shrinks orbits (Rubincam, 1995). Detailed expositions on the magnitude of
the Yarkovsky Effect are available in the literature (e.g., Rubincam (1995)), but a simple
estimate shows that the acceleration due to the Yarkovsky Effect is inversely proportional
to the asteroid’s density and radius, and inversely proportional to the square of the distance
from the Sun. For an asteroid 20 AU from the Sun, with a radius of 200 km and a density
of 2 g cm−3 , the Yarkovsky acceleration is more than seven orders of magnitude smaller
than the Pioneer effect acceleration and even more negligible compared to the acceleration
due to the Sun at that distance.
Another external source that might explain or at least contribute to the Pioneer effect is the general relativistic orbit precession. According the standard Parametrized PostNewtonian (PPN) approximation in general relativity (e.g., Misner et al. (1973)), the greatest value of the orbital period change due to general relativity for all our asteroid candidates
is of the order of seconds. The corresponding minimum orbital period change due to the
Pioneer effect is of the order of five hours. Thus, as is normally expected from a general relativistic effect, the magnitude of the PPN perihelion precession is negligible in comparison
with that due to the Pioneer effect.
Thus, there is a sample of asteroids that provide a clean and unambiguous vehicle for
exploring the gravitational field in the outer Solar System. Their inert dynamical nature,
coupled with their relatively high visibility from Earth allows their motion to be characterized and predicted with assurance, and allows deviations from predicted motion to be
measured readily in reasonable periods of time.
3.3
3.3.1
Discussion
Asteroid Dynamics
The previous discussion of asteroid orbits is similar to a “kinematic” approach, wherein
we explore features of the motion without regard to its specifics. However, a “dynamic”
43
assessment, incorporating the current location of asteroid candidates in their orbits is now
of interest in order to determine whether the Pioneer Effect is observationally detectable.
Of the 15 asteroid candidates, only two are currently outside the 20 AU boundary, with
one moving outward toward aphelion and the other moving inward. Seven are currently
beyond 10 AU and are moving outward, while one is that far away and is moving inward.
The remaining five closer asteroids are all currently moving outward.
If the Pioneer effect is real, the asteroids that are currently beyond 20 AU have already
had their positions perturbed relative to their ephemerides without the Pioneer effect. Of
the candidate asteroids there are only two that fit this category. (5335) is currently at 20.8
AU and is barely into the Pioneer Effect region. 1995SN55 is currently at 38.4 AU and is
past aphelion on its way back to the inner Solar System. Predictions show that the former
has not developed a measurable angular deviation in the short time it has been further than
20 AU from the Sun; the latter has been in that region for over 54 years and has deviated
from an orbit unperturbed by the Pioneer effect by about 30.5 seconds of arc. This level
of angular deviation should certainly be observable. Table 3.2 provides data on the current
positions of the candidate asteroids.
If the current positions of 1995SN55 is corrected for this initial discrepancy, and the
unperturbed and Pioneer-perturbed orbit is made to coincide at the current epoch, we can
plot the rate at which the angular deviation grows from the present. Thus, Figure 3.1 shows
the heliocentric angular deviation of each asteroid from a starting point of 2005 April 1.
The deviation shown is the “Observed minus Calculated” deviation with the “calculated”
orbit being that perturbed by the Pioneer effect.
Astrometry with current CCD techniques is routinely accurate to 0.3–0.5 seconds of arc
for objects like our asteroid candidates. Thus, Figure 3.1 would seem to indicate that several
asteroids are good candidates for observations to measure the Pioneer effect. However,
to consider observational constraints on the candidate asteroids, we must consider two
additional issues in addition to orbital geometry:
• First, that the current ephemeris uncertainty is low enough that observation without
44
Table 3.2 Observational characteristics of asteroid candidates on 2005 April 1.
Asteroid
(5335)
(8405)
1995SN55c
1996AR20c
1997MD10
1998QJ1
1998WU24
(20461)
1999XS35
2000HE46
2001XA255
2003UY283
2003WN188
2004CM111
2004PA44
R
20.8
8.41
38.4
16.9
18.1
14.0
15.7
13.8
14.7
13.2
12.6
6.99
4.12
6.63
4.49
dR/dt
2.09
4.77
-0.80
4.28
7.51
5.51
6.69
8.36
7.96
8.59
-4.80
10.3
12.5
7.50
8.19
mV
26.8
18.8
22.0
26.3
28.8
28.3
27.2
25.6
29.0
26.4
22.5
24.4
20.9
22.3
20.9
H
13.3
9
6
14
16
16.5
15
13.8
17.2
14.8
11.1
15.3
14.1
14.2
13.6
ra
12
95
370
9
4
3
6
9
2
6
37
6
9
9
12
Ub
2
0
n/ad
n/ad
1
3
3
0
2
2
1
n/ad
1
n/ad
2
Notes: R is current heliocentric distance in AU, dR/dt
is current radial velocity in km/sec, m V current visual
magnitude, H is the object’s absolute visual magnitude, r is the object’s radius in km, and U is the object’s uncertainty parameter (see text).
a
Assuming an albedo of 0.05, appropriate to outer Solar System
objects.
b
See text for an explanation of the Uncertainty Parameter.
c
Orbit uncertainty high, object probably not observable without significant search effort.
d
Observations only available over a very short data arc.
extended search is likely;
• Second, that the asteroid is large enough or bright enough to allow a reasonable
expectation of observation over the majority of its orbit.
A figure of merit for the current ephemeris uncertainty has been developed and is provided by the Minor Planet Center (MPC) in the orbital elements as the U parameter. The
MPC defines the U parameter “in order to quantify the uncertainty in a perturbed orbital
solution for a minor planet in a concise fashion.” U is an integer ranging from zero to nine,
45
1.0
(5335)
(8405)
1995SN55
1996AR20
1997MD10
1998QJ1
1998WU24
(20461)
1999XS35
2000HE46
2001XA255
2003UY283
2003WN188
2004CM111
2004PA44
Angular Deviation (O-C) (arcsec)
0.8
0.6
0.4
0.2
0.0
0
5
10
Elapsed Time (yr)
15
20
Figure 3.1 Heliocentric angular deviation between Keplerian orbit for asteroid candidates
and those perturbed by the Pioneer effect. The elapsed time is that from 2005 April 1.
corresponding to the uncertainty per decade along the Line Of Variance (LOV) of the object’s orbit. Zero indicates a very small uncertainty and nine an extremely large uncertainty
in the orbit.2
An examination of the last observation history files at the MPC for Trans-Neptunian
and Kuiper Belt Objects shows that of the sites currently submitting astrometric measurements, a visual magnitude limit between 26 and 27 appears to be the current capability
for ground-based observation, with the very largest instruments being capable of reaching
a magnitude of 28. Figure 3.2 shows the maximum observable distance as a function of
absolute magnitude for several limiting magnitudes in this range. Also shown in this figure
are the points corresponding to the candidate asteroids.
From the data in Table 3.2 and Figure 3.2 it is not difficult to conclude that of the 15
known asteroids with suitable orbit geometry, only five have a size and brightness sufficient
to allow observation over either a majority of their orbit or a significant period of observation
2
Further explanation can be found at http://cfa-www.harvard.edu/iau/info/UValue.html.
46
80
Limiting Magnitude 28
Limiting Magnitude 27
Limiting Magnitude 26
Limiting Magnitude 25
Limiting Magnitude 24
Asteroid Candidates
Orbital Aphelion Distance (AU)
70
60
50
40
30
20
10
4
6
8
10
12
14
Absolute Magnitude (H)
16
18
20
Figure 3.2 Maximum distance observable as a function of object absolute visual magnitude
for various limiting magnitudes. This figure was generated using the definition of visual
magnitude simplified to mV = H + 5 log r 2 . The points shown represent the 15 candidate
asteroids.
of their orbit beyond 20 AU. These objects are (5335), (8405), 1995 SN55, 1996 AR20, and
2004 PA44.
Thus, these asteroids should provide a mechanism for observing the gravitational field
in the outer Solar System and permit its use in investigating the Pioneer effect and, in a
broader context, the mass distribution in the outer Solar System. Additionally, many of
the other candidate asteroids could be observed in the near future, when they are not in the
Pioneer effect region, in order that their orbits be tied down with observations when they
are close. This could be done in anticipation of continuing observations when they move
further out and become subject to the Pioneer effect.
3.3.2
Observational Issues
What observational issues are associated with using our candidate objects to investigate
the Pioneer Effect? The analysis presented above would be quite complete in an ideal world
47
without measurement errors. Of course, reality is messier. One must take observations
that contain errors, and fit an orbital solution to them in some way as to minimize the
discrepancies between prediction and observation. Generally, this is done using a description
of the orbit (e.g., orbital elements) and minimizing the total square deviation of the orbital
solution from observations in a least squares sense. Thus, exact orbit solutions are not
available; rather, orbits with various uncertainties and different goodness-of-fit statistics
are what results.
The dynamics of minor planets in the Solar System are complicated. Not only do observational errors affect the outcome, but the motion of the planets and other perturbations
in all their complexity impact the minor planet’s motion as well. The problem arises because an adjustment of orbital parameters may allow a given set of observations to match
a perturbed orbit. For example, a change in eccentricity might allow motion perturbed by
the Pioneer effect to be explained completely in terms of a non-Pioneer model. In this case,
there would be no way to distinguish whether or not the Pioneer effect existed because there
would be no observational consequence associated with it. The question remaining, then,
is whether the Pioneer effect can be distinguished observationally given the uncertainties
associated with orbit determination.
OrbFit software was used to investigate the motion of one of our candidate asteroids,
(5335) Damocles, to determine if the Pioneer effect could produce truly observable consequences in the motion of this object. Four cases were investigated. First, the existing
observations, numbering 513 and occurring over two oppositions from 1991 February 18 to
1992 August 22 were used to determine orbital elements and ephemerides for (5335) when
it was not subjected to the Pioneer effect and otherwise. These real observations are all
of high quality, and the astrometry is derived from the associated CCD images. The second set of predictions are associated with the 51 existing observations plus another four
synthetic observations performed “now,” specifically 2005 June 1, 3, 15, and 17. Two sets
3
It should be noted that these observations represent the entirety of those available from the archives of
the Minor Planet Center. We emphasize the necessity of using all available observations of the objects under
consideration in order to obtain the best possible orbit characterization.
48
of observations were synthesized, assuming normally distributed measured positional rms
errors of one second of arc. The first set was based on ephemeris position predictions with
the 51 real observations but without the Pioneer effect, while the second set of observations
was based upon ephemeris predictions using the real observations with the Pioneer effect.
Note that the orbital elements in the two cases were different as the synthetic observations
giving rise to them are different. However, the procedure used was parallel between the two
cases, differing only in the force model used.
OrbFit provides not only predictions of ephemeris position, but also estimates of the positional error on the sky associated with each prediction. The problem of determining these
errors is nonlinear in nature and cannot be solved in general. Often, a linear approximation
is used, and although OrbFit offers a semi-linear approximation that can be considerably
more accurate than that provided by the linear approximation, investigation showed that
for the magnitude of the angular differences considered here, the linear approximation is
completely adequate (Milani and Valsecchi, 1999).
The result of running OrbFit is that, for each case with and without additional synthetic
observations and with and without the Pioneer effect perturbation, we have an ephemeris
showing position on the sky as a function of time along with the error estimates at each
instant. The error estimates are given as one standard deviation error in a maximum
direction (with an associated position angle), and the one standard deviation error in an
orthogonal direction. Thus, equal probability loci form ellipses about the predicted position.
We determine the the angular differences between the four cases. Associated with each
positional difference is a direction, easily specified in terms of a position angle θ pos , and each
position has an associated observational error ellipse. We are interested in the projection
of this error in the direction of the angular difference between the predicted positions. If
E1 and E2 are the semi-axes of the error ellipse (by construction E 1 is the greater of the
two) and θerr is the position angle of the major axis of the error ellipse, the magnitude of
the error in the direction of the angular difference between the positions is
49
E1
σ=q
1 + [(E1 /E2 )2 − 1] sin2 (θpos − θerr )
(3.1)
Statistically, we can test the hypothesis that the orbits are the same by considering the
difference between the predicted positions and comparing this quantity with a confidence
interval at the appropriate level of significance. The positional uncertainty used in this
calculation is the square root of the sum of the squares of the independent errors associated
with the two positions.
Figure 3.3 shows the results of using OrbFit to investigate these questions. The horizontal axis runs from 2005 Sep 21 to 2023 Feb 24. The solid line in each panel shows the
expected observational difference in position in the two cases. The upper and lower dashed
lines in each panel represent a 95 percent confidence interval about the calculated difference
in position. The dotted lines in each panel show a difference of zero between the two cases.
The upper panel of the figure shows the angular difference between the without-Pioneer
and with-Pioneer cases, and a 95 per cent confidence interval for the case with only the
original 51 real observations being available. Each case has a one standard deviation error
ellipse at the present time with semimajor and semiminor axes approximately 7 arcsec and
0.5 arcsec in size, respectively, and is oriented with the long axis having a position angle
of approximately 12 degrees. Most of the predicted angular position difference is in the
declination direction, parallel to the long axis of the error ellipse. Thus, the larger error
ellipse dimension contributes most to the confidence interval. The hypothesis that the two
cases are the same is rejected at the five per cent level if the 95 per cent confidence interval
does not encompass zero. As can be seen from the figure, since the errors grow faster than
the angular difference, this never occurs in the time interval shown in the figure, and likely
for a considerable time thereafter.
The lower panel of Figure 3.3 shows corresponding results when four additional synthetic observations in June 2005 are made as described above. One notes that the starting
point of the two panels is different. This is due to the fact that the synthetic observations
50
100
Angular Difference (arcsec)
Ang. Diff. + 95% CI (arcsec)
Ang. Diff. - 95% CI (arcsec)
No Difference
Angular Deviation (arcsec)
50
0
-50
Panel A
-100
54000
55000
56000
57000
Modified Julian Date
58000
59000
60000
10
8
Angular Difference (arcsec)
Ang. Diff. + 95% CI (arcsec)
Ang. Diff. - 95% CI (arcsec)
No Difference
Angular Deviation (arcsec)
6
4
2
0
-2
-4
54000
Panel B
55000
56000
57000
Modified Julian Date
58000
59000
60000
Figure 3.3 Angular differences between positions of (5335) Damocles as a function of time
with– and without a Pioneer Effect perturbation. The upper panel (A) shows the results
with only the currently available 51 real observations, but with the orbit adjusted to fit
the perturbed and unperturbed cases. The lower panel (B) shows similar results when the
actual observations are combined with synthesized observations “performed” in June 2005.
51
in June 2005 are different for the without– and with-Pioneer effect cases since Damocles
would have been in the Pioneer effect region for some time when the synthetic observations
are “conducted.” Once the orbit is adjusted, this results in different orbital elements and
ephemerides. As expected, the additional observations shrink the total error ellipse substantially. The synthetic observations lead to an error ellipse with semimajor and semiminor
axes approximately 0.5 arcsec by 0.4 arcsec in size, with the long axis having a position
angle of about 12 degrees. In this case, most of the position difference remains in the declination direction, parallel to the long axis of the error ellipse. However, since the size of the
error ellipse is substantially reduced, especially in this direction, the size of the confidence
interval is substantially reduced as well. Geometric effects relating to the positions of the
Earth and (5335) make the orbital errors time variable. With observations occuring now,
the hypothesis that the with– and without Pioneer effect cases are the same is rejected at
the five per cent level for the first time at about MJD 56 958 or 2014 October 27. After
that time, such determinations occur more and more frequently as the predicted orbits
grow further and further apart. Thus, observations of (5335) performed now could refine
its orbit and allow, within a few years, a relatively unambiguous determination of whether
the Pioneer effect has influenced the motion of the asteroid.
In all the cases discussed above, the rms residual is 0.7 arcsec, indicating a wellcharacterized orbit. Interestingly, if the synthesized observations are switched and the
no-Pioneer effect synthetic observations are used without the Pioneer perturbation and vice
versa, the residuals do not change from this value. This is largely because the original 51
observations were performed in a fairly short period of time, with the additional synthetic
observations temporally separated by a fairly large interval.
In the analysis just presented, synthetic observations were performed “now” (June 2005)
to “pin down” Damocles’ orbital parameters. Then, the evolution of the orbit in time was
compared for the Pioneer-perturbed and unperturbed cases. As time progressed, this involved implicit additional observations for both cases, but without bringing those observations into the orbital element calculation. What happens if more observations are performed
52
and the additional observations are used to fit Damocles’ orbit?
To address this question, two sets of ephemerides were generated using the 1991-1992
actual observations of Damocles as a base. The first set included only normal orbital forces,
while the second set contained the additional perturbations expected from the Pioneeer
Effect. From these data, sets of synthetic observations were created which included a
Gaussian astrometric uncertainty of 0.3 arcsec in both right ascension and declination,
appropriate for current high quality astrometry. We assumed a 90 day observation period
every year starting in 2006. During each year, we used a total of three positions from May,
June and July as the new astrometric measurements. The orbit was then analyzed with
the two versions of OrbFit, and the residual was tabulated for the period from 2006 to
2026, with each new fit including all the previous real and synthetic observations up to that
time. The result of this experiment is the trend in the total residual of the orbital fit as a
function of time for the orbits with and without the Pioneer effect. There are four cases,
consisting of the combinations of observations synthesized with– and without the Pioneer
Effect perturbation as Damocles moves under the influence of the Pioneer-perturbed and
unperturbed gravitational force. In the two cases where the synthetic observations match
the force model, we would expect the residual to slowly decrease as additional observations
are added. In the two cases where the genesis of the synthetic observations does not match
the force model, the model fit residual should increase as more observations are added.
To understand the robustness of our fit, we repeated this experiment 100 times using
different astrometric observational errors. Each run had the same 0.3 arcsec deviation for
each observation but used a different normally distributed random value for the astrometric
error. The net result of this experiment is shown in Figure 3.4. Sets of three synthetic
observations were added annually. After each set of observations, the orbital fit was updated.
There are four cases, consisting of the combinations of observations synthesized with– and
without the Pioneer Effect perturbation as Damocles moves under the influence of the
Pioneer-perturbed and the unperturbed gravitational force.
In the top panel, the residuals are shown for the orbits generated with observations
53
produced with and without the Pioneer effect, but analyzed without the Pioneer effect
force perturbation. The error bars represent a one standard deviation variation from the
average of our ensemble of 100 runs. By 2024, the error bars separate as the residual from
fitting the orbit whose synthetic observations included the Pioneer effect increases. This
separation will continue to grow as the number of observations increases.
We also fit the synthetic observations generated with the standard and Pioneer effect
perturbed models to a modified version of OrbFit that included the Pioneer effect in its
force model. In this experimental case, we test the opposite hypothesis: “How well does
the Pioneer effect fit the observations?” instead of “How well does a normal orbit fit the
observations?” The results of this fit in the lower panel of Figure 3.4. As expected, the
residual monotonically decreases with the orbit that includes the Pioneer effect when using
this code. However, the residual for the orbit that does not include the Pioneer effect
deviates from this slow decrease earlier than it did in the previous case. Although we have
no specific cause for the apparent asymmetry between the two cases, it is not unexpected
given the nonlinear nature of these calculations. However, fitting an orbit to a code that
includes the Pioneer effect would likely give a more rapid and robust result to the question
of the existence of this effect than fitting an orbit to a code that includes only the standard
gravitational perturbations.
Comparing both panels, we see that the residuals initially decline, but those of the mismatched observations and force models eventually begin to grow larger, while the residuals
of the matched observations and force models cases continue to decline.
The result of these numerical experiments is to show that a modest observational program with only a few observations a year should be able to determine if the Pioneer effect is
real in less than 20 years. With better accuracy and more frequent observations, this time
could be substantially decreased.
Damocles’ current position is 20.8 AU away from the Sun, moving outwards. It is
currently at a visual magnitude of 26.8. Observing this object now, while challenging,
is not impossible. An instrument in the four meter class would be sufficient to acquire
54
0.70
No-Pioneer observations/No-Pioneer analysis
Pioneer observations/No-Pioneer analysis
RMS Residual (arcsec)
0.65
0.60
0.55
0.50
Panel A
0.45
2005
2010
2015
Year of Last Observation
2020
2025
0.70
Pioneer observations/Pioneer analysis
No-Pioneer observations/Pioneer analysis
RMS Residual (arcsec)
0.65
0.60
0.55
0.50
Panel B
0.45
2005
2010
2015
Year of Last Observation
2020
2025
Figure 3.4 Orbital fit rms residuals for Damocles as synthetic observations are added. The
first term in the legend describes the case used to generate the synthetic observations; the
second term describes the force model used to conduct the analysis of the observations.
The top panel (A) shows the results of the case where synthetic observations are generated
for both cases, but the motions are analyzed using a force model that does not include the
Pioneer effect. The bottom panel (B) shows the other two combinations, where the same
synthetic observations are analyzed with the Pioneer effect gravitational perturbation.
55
the required astrometry. The well-characterized orbit of this object should allow it to be
observed without a significant search, and current observations could assist in making a
significant statement about the Pioneer effect. At aphelion, Damocles’ visual magnitude
should be slightly greater than 27, allowing the object to be observed over the entirety of its
orbit. It will be in the Pioneer effect region, as defined in this paper, until late November
2018. Thus, there is much time to observe this object and to use its motion for exploring
the Pioneer effect.
Of our other four candidate asteroids, two are in well-characterized orbits. The orbit
of (8405) Asbolus has been well-observed over ten oppositions from 1995 through 2004,
and has rms residuals of 0.6 arcsec. Its maximum visual magnitude at aphelion is less
than 24, allowing its motion to be observed over its entire orbit with reasonably available
instruments. It is currently not in the Pioneer effect region, is still moving outward, and
will not cross 20 AU until about 2016 June 8. This object presents an opportunity for
further orbital characterization and possible exploration of the onset of the Pioneer effect
if it exists.
The asteroid 2004 PA44 has been observed over three oppositions from 2002 through
2004. It has rms residuals of less than 0.4 arcsec. At aphelion, its visual magnitude is
approximately 26.6, allowing it also to be observed over its entire orbit. It is also not
currently in the Pioneer region, is moving outward, and will not enter the Pioneer region
until the end of December 2016. As with Asbolus, 2004 PA44 provides an opportunity for
further orbital refinement and potential investigation of the beginning of the Pioneer region.
Our remaining two candidates can only be considered lost. It would require a significant
search effort to reacquire these objects because of their short observation arcs. 1996 AR20
was observed for a short period in 1996, is currently moving outward, and is not expected
to reach the Pioneer region until about April 2009. Its visual magnitude at aphelion, nearly
28, would make this a very challenging target for observation over the whole of its orbit.
However, if it can be located, it too could offer an opportunity for orbit refinement and
further Pioneer effect investigation.
56
The asteroid 1995 SN55 is also lost; however, in many ways it is the most intriguing
of our candidate asteroids. It was observed over a short arc in 1995 and has not been
observed since. It is currently over 38 AU away from the Sun, well into the Pioneer region,
moving sunward, and is just past aphelion. However, its large size makes its current visual
magnitude only slightly greater than 22. If this object could be located, over a span of years
it would offer an excellent opportunity to measure the gravitational field in the outer Solar
System, as well as determining whether the Pioneer effect exists or not.
All of these objects possess excellent, high quality CCD astrometry, albeit in many cases
not enough either in number of observations or in temporal currency. As observed above,
all the objects could be observed over their entire orbits and, over time, could provide an
excellent vehicle for exploring gravity in the outer Solar System whether that involves the
mass distribution in those regions, or more exotic physics.
3.4
Conclusions
The purpose of this chapter is to assess the feasibility of using observations of minor planets
to evaluate the gravitational field in the outer Solar System and thereby explore the Pioneer
effect by means of precision astrometry. If a method of measuring the Pioneer effect was
available it might serve, once and for all, to either support or refute its existence as a real
phenomenon. We show that asteroids can fill this role. These bodies are useful for this
purpose because they have a large mass and are large and bright enough to observe for
satisfactorily long intervals. Our analysis clearly shows that observations could determine
whether or not the Pioneer effect exists, and demonstrates that the residuals of orbital
fits grow if continuing observations are conducted and are modeled with the erroneous
force model. We further demonstrate that the Pioneer effect could be confirmed or refuted
by means of a sustained observation campaign against properly chosen asteroids. These
observations can be conducted with modest allocations of telescope time, and would provide
a definitive answer to the question within the next 20 years.
Whether or not the Effect was substantiated, astrometry of asteroids can be used to
57
measure the gravitational field in the outer Solar System. Depending upon the number
and type of the measurements, it might even be possible to break the degeneracy in the
alternative predictions of different possible explanations for the Effect or differentiate between alternative gravitational theories. This is a worthwhile program in its own right,
and observations of (5338), (8405), and 1995 SN55 would be particularly helpful for this
purpose.
The proposed method is not without weaknesses, however. The first weakness of our
approach is that it has less temporal resolution and lower sensitivity to perturbations than
would a spacecraft, dedicated or otherwise. However, the proposed observation program is
low in cost and can explore possible perturbation effects along a number of different vectors
through the Solar System, which would require multiple spacecraft. Such an observation
program could have profound effects on our understanding of the gravitational field and
implied mass distribution in the outer Solar System, and could also assist in discriminating
between alternative gravitational theories such as MOND and classical gravity, as well as
more exotic gravitational theories.
A second weakness is that our adopted model of the Pioneer effect is very simple. Since
the primary intent of this paper is to investigate the dynamical consequences of the Pioneer
effect, which apparently begin at large heliocentric distances, for simplicity, and because
there are no current data supporting a more gradual onset of the Pioneer effect, we assumed
the anomalous acceleration of the Pioneer effect begins abruptly at 20 AU. This assumption,
however, does not compromise the methodology. It only places limits on the number of
asteroids to consider as observational candidates. We recognize this as a simplistic model of
the Effect. Alternative mechanisms exist that cause the Pioneer effect to vary with object
mass, orbital eccentricity, radial distance, and a number of other parameters of the motion.
As further observations of minor planets become available, they can potentially be used to
investigate various force models in order to explore all possibilities until either the Effect is
ruled out or its origin is found. However, the current status of information on the Pioneer
effect dictates that this simple model be investigated first.
58
Despite the limitations of the use of asteroids in the roles addressed here, it remains
true that there are very few intermediate range tests of gravity at the multiple AU distance
scale. Comets experience reaction forces due to outgassing, and the outer planets move very
slowly and cover only some of the region of interest. Spacecraft like Pioneer are expensive,
as well as being tiny, fragile things that outgas, get pushed about by Solar winds, and suffer
reaction forces due to their radio transmissions and power sources. Most newer spacecraft
improve their guidance capabilities by conducting mid-course corrections, leading to more
motion variation and greater difficulty in discerning the small perturbations. With all the
limitations of the proposed method, there is nothing quite as useful as a big, unwieldy,
dynamically dead chunk of rock for investigating small variations in Newton’s Laws or the
mass distribution in the outer Solar System.
59
Chapter 4: Major Planets as Gravity Probes1
Recently, Page et al. (2006) reported on the use of minor planets to assess gravity in the
outer Solar System. That paper was mostly devoted to the use of astrometry of asteroids
to investigate gravity in the that region and the potential use of such observations to ascertain the reality of the Pioneer effect, an unexplained acceleration towards the Sun that
perturbs the motion of Pioneer 10 and 11 beyond a distance of 20 AU (Anderson et al.,
2002a). However, some statements were made that applied to comets and the outer planets. In particular, with respect to the outer planets, Page et al. (2006) commented that
the ephemerides of the outer planets are almost entirely based on optical observations and
are much less accurate than those for the inner planets (Standish, 2004). This, coupled
with the Pioneer effect not being observed in the inner Solar System argues that the major
planets are not good candidates for investigating gravity in the outer Solar System.
Iorio and Giudice (2006), carried out detailed calculations on the impact that the Pioneer effect would have on orbital motions of the outer planets. They found a Pioneer-like
acceleration would produce significant secular and periodic effects and conclude that the
absence of such evidence indicates that the Pioneer effect is ruled out as a phenomenon
effecting the outer planets. The approach of these authors involves analytically and numerically investigating the Gaussian rate equations for rates of change in orbital elements as a
function of time and a perturbing force. This approach will be discussed more fully later in
Section 4.2.
Additionally, Tangen (2007) observes that Page et al. (2006) offered no calculations
to substantiate its conclusions about the outer planets and indicates that other authors
reach different conclusions about the use of the outer planets in this role. Tangen (2007)
1
Portions of this chapter have been accepted by The Astrophysical Journal and are tentatively scheduled
to appear in the 1 June 2009 issue, volume 697.
60
also sought to illuminate the issues involved by using a simplified four parameter model
of orbital motion. Referencing several papers (Iorio and Giudice, 2006; Page et al., 2006;
Tangen, 2007), Sanders (2006) calls the dispute about the observability of Pioneer effectlike perturbations in the motion of the outer planets indicative of a lack of consensus in
discussions of the planet’s motion.
Both Iorio and Giudice (2006) and Tangen (2007) refer to Izzo and Rathke (2005) to
buttress their contention that a Pioneer-like acceleration should be observable in the motion
of the outer planets. In discussing options for a non-dedicated spacecraft investigation of
the Pioneer effect, Izzo and Rathke (2005) briefly considers whether the effect would be
detectable in the motion of the outer planets and conclude that the Pioneer effect would
have an impact on outer planet motion that would be at variance to that observed. This
conclusion is largely based on the change in the GM product that would be required to
result in the Pioneer effect at the distance of Neptune and the comparison of that value with
the otherwise known uncertainty of the GM value. The basis of their conclusion seems
to be similar to that expressed in Talmadge et al. (1988), where modifications to Kepler’s
Law are used to assess the possibility of several modifications to gravity. Talmadge et
al. (1988) restricts its attention to the case of the inner planets, however, where ranging
data is available from both earth-based radar and spacecraft. However, Izzo and Rathke
(2005)’s conclusion that the Pioneer effect would have been observed in the motion of the
outer planets is too all-encompassing. For example, some alternative theories of gravity
provide for a variation in the force that a spacecraft would experience, as would distributed
mass densities concentrated in the outer Solar System. The issue here is whether such
accelerations are really observationally detectable independent of their source.
This chapter’s purpose is twofold. First, we wish to deal with the problem of astrometric
determination of the orbital elements of Pluto, in particular by assessing the ability of
astrometric observations to detect perturbations of the sort expected from the Pioneer
effect. Secondly, we wish to show that while using simplified models of the dynamics can
lead to some insights, one must be careful to not over-simplify the issues involved lest one
61
be misled by the analysis onto false paths.
Specifically, this paper shows that, contrary to recent assertions in the literature, the
current ephemeris for Pluto does not preclude the existence of the Pioneer effect. We show
that the orbit of Pluto is currently not well enough characterized to make such an assertion.
Thus we address the views alluded to above that have now propagated through a number
of papers (Bekenstein (2007); Jaekel and Reynaud (2006); Khriplovich (2007); Mbelek et
al. (2007); Minguzzi (2006); Sereno and Jetzer (2006); Zaveri (2007)). We believe that the
conclusions presented in those papers are not established unambiguously and that caution
needs to be used in drawing further inferences about the dynamics of the outer Solar System.
Notwithstanding our comments about the dangers of using simplified methods, we note
that our approach itself is a simplification. The outer planets must be dynamically assessed
as a system. In order to rigorously determine whether a small perturbation like the Pioneer
effect is detectable by astrometry, we should simultaneously include the changes it produces
in the orbits of Uranus, Neptune, and Pluto. Only in this way can all the second order
perturbations to the system be taken into account. However, in order to illustrate the ideas
concerned and the weaknesses of the approaches outlined above, we restrict our attention
here to manipulating the orbit of Pluto. This approach is further discussed in Section 4.3.
The remainder of this chapter is divided into four further sections. Section 4.1 describes
several “back of the envelope” approaches to understanding the nature of the orbital changes
that a Pioneer effect would cause, and a detailed discussion of the analysis methodology we
have chosen to make our case. Section 4.2 addresses our results in terms of the relationships
between orbital parameters and observation arc length on the observability of small perturbations. Finally, Section 4.3 provides a discussion of our results and Section 4.4 presents
conclusions.
62
4.1
4.1.1
Methods and Models
Characterizing the Pioneer effect
To begin, we must describe the working definition of the Pioneer effect used in this paper.
Following Anderson et al. (1998), we take the Pioneer effect to be manifested by a radial
acceleration, directed sunward, of magnitude 8.74×10 −10 m s−2 . Since the primary purpose
of this paper is to investigate the dynamical consequences of the Pioneer effect, which
apparently begin at about 20 AU from the Sun, and because there are no data indicating
a more gradual onset of the Pioneer effect, we will assume that the anomalous acceleration
begins abruptly at a heliocentric distance of 20 AU.
We recognize that this is a simplistic model of the Pioneer effect. Alternative mechanisms exist that cause the acceleration to vary with object mass, orbital eccentricity, radial
distance, and other parameters of the motion. As further observations are made of the
Pioneer effect, they can be used to investigate different force models to explore various
alternatives until the Pioneer effect is either ruled out or its origin is found. However, the
current status of knowledge of the Pioneer effect argues that this simple model should be
investigated first. Additionally, a perturbation beginning somewhat closer to the Sun at
a more gradual pace would be more easily seen in the motion of the planets. As shown
recently by Standish (2008), if the Pioneer effect occurred at shorter distances from the
Sun, its effect on planetary ephemerides would have already been detected. Thus, our assumptions about the Pioneer effect represent the minimum plausible perturbation given
the available data. Notwithstanding our concentration on the Pioneer effect, the analysis
presented here should be valid for any small constant perturbation to gravity in the outer
Solar System.
4.1.2
Estimating Pioneer effect manifestations
There are several ways to approach assessing whether small perturbations like the Pioneer
effect can be observed in the motions of the outer planets. For clarity, however, let us
63
make clear that we are talking of perturbations to the motion of the outer planets that
are spherically symmetric and directed towards the Sun. Perturbations due to localized
mass concentrations (i.e., Planet X) are specifically excluded. However, the latter can be
instructive. Some years ago, there were allegations that the motion of the outer planets
contained anomalies that indicated the presence of a large mass concentration in the outer
Solar System. Standish (1993) showed how these presumed anomalies in Uranus’ motion
vanish when the orbital elements are adjusted while using correct values of Neptune’s mass
as determined by spacecraft. The important point here is that it is not enough to merely
compare projected positions; rather, one must adjust the orbital elements, and even other
parameters defining the problem, to best fit observational data. There are a number of
approaches to addressing this problem.
One approach was taken by Talmadge et al. (1988) in which a variation in the value of
the astronomical unit is investigated for the inner planets. Their analysis assumes a small
eccentricity and makes use of ranging data available from radar and spacecraft observations.
This shows that quite stringent constraints are placed on the nature of gravity at scales
approximating that of the inner Solar System. In particular, any Pioneer-like acceleration
at those scales would long since have been detected.
Another approach is to consider the relative magnitudes of the acceleration due to the
Sun and that due to the Pioneer effect. This is the approach taken in Page et al. (2006),
although it was not documented in that paper. Certainly the Pioneer effect should not be
expected to have a dominating impact on the motion of the outer planets. The ratio of
the Pioneer acceleration to that produced by the Sun at a distance equal to the semimajor
axis of the outer planets is 0.005, 0.013, and 0.023 percent for Uranus, Neptune, and Pluto,
respectively. If we integrate an orbit without any perturbations to Newtonian gravity other
than the Pioneer effect, and compare with the Keplerian case, we find the orbital periods of
these objects are systematically shorter. Uranus’ period shortens by 5.8 days and Neptune’s
by 24.1 days, while Pluto’s period drops by 79.7 days. These intervals correspond to 0.02,
0.04, and 0.09 percent of the periods of Uranus, Neptune, and Pluto, respectively.
64
Differentiating Kepler’s Third Law implicitly, we obtain a relationship between a small
change in an orbiting object’s period and a corresponding change in the orbit’s semimajor
axis. In particular, da/a = (2/3)dT /T where a is the semimajor axis (in AU) and T is the
orbital period (in years). For Uranus, the fractional period shortening due to the Pioneer
effect is equivalent to a fractional change in semimajor axis of approximately 0.013 percent.
Similarly, the orbital period shortening is equivalent to a reduction in semimajor axis of
0.027 and 0.059 percent for Neptune and Pluto, respectively.
These simple calculations imply an equivalent change in aphelion distance of 3.8 × 10 5 ,
1.2 × 106 , and 4.3 × 106 km for Uranus, Neptune, and Pluto. In the cases of Uranus and
Neptune, this is less than the approximate maximum errors in range of 2 × 10 6 km (Seidelmann, 1992)). In the case of Pluto, the change in semimajor axis that would correspond to
the shortening of its orbital period with the Pioneer effect is about twice the radial distance
uncertainty. However, Pluto has completed less than one-third of an orbit since its discovery
and its orbital elements are even less well-determined than the other outer planets. Thus,
small changes in other orbital elements could easily obscure any orbital changes due to the
Pioneer effect.
4.1.3
Celestial mechanics
The values of orbital elements are not directly observable and to reduce observational data
to orbital elements it is necessary to proceed by using numerical approximations. 2 The
normal manner in which one proceeds is to first determine a “preliminary orbit” from a
small number of observations and then to refine it by successive approximations into a
“definitive orbit” as many more observations are added.
The method used to improve the orbit and obtain the definitive orbit through additional
observations is called “differential correction” and is well described in standard celestial
2
In this discussion we are dealing with “classical” observations consisting of two angles describing the
position of the object in the sky at a moment in time. Orbital determination when one has range information,
for example with radar observations, is a completely different mathematical problem. This latter area
is sometimes called “astrodynamics.” Radar observations for objects subject to the Pioneer effect are
technologically out of the question for the foreseeable future.
65
mechanics texts (e.g., Moulton (1914), Brouwer and Clemence (1961), or Danby (1988)).
Differential correction uses a least squares approach to iteratively refine the estimates of
the elements as more observations become available. Additionally, statistical information
on the errors of the elements naturally results from the differential correction process. The
process results in a set of orbital elements, along with error estimates for the elements and
covariance parameters showing the degree to which the elements are correlated. It is worth
remembering that the equations governing celestial mechanics are nonlinear and normally
a linearized version of the problem is used to determine the covariances and elements.
However, the nonlinearity manifests itself in occasional difficulties in determining elements
and some of these difficulties will be discussed later in Section 4.2.2.
The whole chain of analysis outlined above for orbital element determination is associated with a number of errors that must be understood and characterized. Some are
associated with the description of the Solar System dynamics and calculation of the orbits,
while some originate in the observations themselves.
However, in determining elements from observations, there is no prior warning about
the pathological situations that can arise. For example, if the inclination is small, the error
in the longitude of the ascending node will be large. Similarly, if the eccentricity is small,
the error in the argument of perihelion will be large and the time of perihelion passage or
mean anomaly will be poorly defined. Such problems can be avoided through the use of
alternative orbital elements (e.g., equinoctial elements).
Thus, the orbital characterization process outlined above must be carried out to enable
predictions of the future positions of objects on the sky. The errors associated with the predictions must be compared statistically to determine whether a truly observable difference
can be asserted between the alternative models of gravity.
Importantly, since orbital elements are not directly observable, it is not enough to simply
integrate an object’s equations of motion forward in time from a set of initial conditions,
with and without the perturbation (as was done in Iorio and Giudice (2006)), and then
compare the differences. One must first determine element values by adjusting them to a
66
set of observations and a gravity model to obtain a new set of elements with associated error
metrics. This can be understood physically by noting that the orbital elements describe
the conserved mechanical energy of the body and if the potential field changes due to the
existence or absence of a perturbation the elements need to be redetermined.
In order to address these issues, we use the OrbFit software package (Milani, 1999). This
program uses observational data and data on the dynamics of the Solar System to determine
orbital elements and predict ephemerides for minor bodies. Since OrbFit is available in
source code, we added a simple option to include forces arising from the Pioneer effect. By
comparing orbits resulting from synthetic observations with and without the Pioneer effect,
we explore the expected effects of such a perturbation on asteroid orbits and examine when
this effect can be detected astrometrically.
OrbFit is a complex piece of software that performs a number of tasks that relate to
this analysis. The first task of interest here is that of orbit determination. This process
begins with astrometric observations of the body of interest. An initial orbit is determined
from a few of the available observations and a process of differential correction is applied
to correct the initial elements and take into account any additional observations.
The second task of interest performed by OrbFit is orbital position prediction. To
predict the position of bodies of interest, OrbFit takes the position and velocity of the
body of interest, and integrates the equations of motion of that body with many additional
perturbations due to the other bodies in the Solar System, Solar oblateness, etc.
Additionally, the process used by OrbFit naturally provides measures of the errors in
elements that result from the unavoidable errors in position measurement and the associated
element covariances. These data can be mapped on to positions in the sky and the error
associated with the prediction, which permit our analysis to take place.
By using OrbFit for our calculations, we are able to include planetary and other perturbations and factors that affect the determination and prediction of orbits. These factors
are dealt with in OrbFit to create orbital predictions and also conduct orbital analyses in a
manner that very closely mimics the process by which data from observations are reduced
67
to orbital predictions and elements in the real world. In particular, OrbFit is able to deal
with various errors and noise that are both unavoidable and necessary for calculations at a
level of accuracy sufficient for distinguishing between orbits affected by the Pioneer effect
and those subject to gravity without the additional perturbation.
The calculations outlined above represent standard techniques of celestial mechanics and
can be performed by any number of systems. OrbFit was chosen because of its availability
in source code. This permitted addition of a simple option to include the force arising from
the Pioneer effect, which were simply added to the forces exerted on the bodies of interest
by the major planets.
Rather than integrating the orbits of the main bodies in the Solar System, their dynamics
are introduced via the JPL DE405 ephemeris. In this context the planetary ephemeris is a
sort of lookup table containing positions of the planets so that their effect on the motion of
a body of interest might be determined.
4.1.4
Simulation of observations
In this paper, we will parametrically vary the eccentricity of hypothetical test bodies, generate synthetic observations for them with– and without a Pioneer-like acceleration, and
determine the conditions under which the Pioneer effect can be observed. With the exception of eccentricity, the orbital elements of our test bodies are those of Pluto (Seidelmann,
1992). The eccentricity of the bodies are 0.001, 0.005, 0.01, 0.05, 0.1, 0.2, and 0.3. These
values are chosen to bracket the actual eccentricity of Pluto while extending to nearly circular orbits similar to those found in the other outer planets. The nominal elements at the
epoch J2000 (JD 2,451,545.0), are referred to the mean ecliptic and equinox of JD 2000.0
and are given in Table 4.1.
The observation cadence we have chosen to use roughly reflects that which exists for
Pluto. If one reviews the observations for Pluto that were used to construct the DE405
ephemeris, we find approximate observation frequencies as indicated in Table 4.2. With
68
Table 4.1 Elements for the hypothetical bodies used in the analysis.
Element
Semimajor axis
Eccentricity
Inclination
Longitude of Ascending Node
Argument of Pericenterb
Mean anomalyc
Valuea
39.48168677 AU
See text
17.14175 degrees
110.30347 degrees
113.76329 degrees
14.86205 degrees
a
Source for element values is Seidelmann (1992)
The argument of the pericenter is equal to the difference
between the longitude of pericenter and the longitude of the
ascending node.
c
The mean anomaly is the mean longitude minus the longitude of pericenter.
b
the exception of the 1914-1929 period, we have adopted these cadences and generate synthetic observations accordingly. The pre-discovery observations occuring from 1914-1929
are aggregated and an overall rate of one observation per year is used for this time period.
In the analysis, we use observation arc lengths running up to 250 years that are evaluated at 50 year intervals. Since the orbital period of these objects is approximately 250
years, our synthetic observations span a complete orbit. The total number of synthetic observations occurring over the observation arc lengths are shown in Table 4.3. The number
of observations and their frequency is approximately that actually existing for Pluto, with
reasonable extrapolations into the future.
The general approach is to use OrbFit with a set of elements defined as described
in Table 4.1 to generate ephemerides separately in both the perturbed (that is, with the
Pioneer perturbation present), and unperturbed (without the Pioneer effect) cases. The
predicted positions of the test body on the sky represent “perfect” observations with no
uncertainties in either observations or elements. In each case, we can take these predicted
ephemeris positions and add Gaussian observational error. These randomly altered positions
then represent the results of synthetic astrometric observations. The random observational
error applied is equal to 0.3 seconds of arc, representing the results of good quality CCD
69
Table 4.2 Frequency of archive observations of Pluto.
Dates
1914-1919
1920-1929
1930-1939
1940-1949
1950-1959
1960-1969
1970-1979
1980-1989
1990-1999
2000-2006
2007-2011
2012-2163
No. Observations
11
6
431
233
113
113
364
361
1,125
962
est.
est.
No. Years
6
10
10
10
10
10
10
10
10
7
5
152
Approx. Cadence
2 per year
1 per 2 years
1 per week
2 per month
1 per month
1 per month
3 per month
3 per month
1 per 3 days
1 per 3 days
1 per 3 daysa
1 per dayb
a
Continue 2000-2006 cadence.
Continue 2000-2006 cadence, but assume that LSST and Pan-STARRS
come online in 2012 and each produces one observation every three days
for a total observation cadence of one observation per day.
b
astrometry reduced against modern star catalogs. This value of error is assumed to be
isotropic on the sky; thus, we generate and apply synthetic errors in right ascension and
declination equal to this value divided by the square root of two with appropriate adjustment
to the Right Ascension for the cosine of the declination. The resulting different sets of
synthetic observations and alternative gravity models can then be used with OrbFit to
determine elements and errors associated with the elements as a function of the eccentricity
and the observation arc length. It is noted that this is the procedure used to investigate
the motion of minor planets in Page et al. (2006) and Wallin et al. (2007).
We recognize that this assumed error represents a level of accuracy much better than
that found in observations taken until relatively recently. Indeed, there are many potential
sources of position error that might be modeled, some of a known nature and some unknown.
The data were taken at different observatories and different techniques may have been used
to reduce the observations, leading to systematic errors in the derived positions. The
positions have been reduced with various catalogs and transformed, sometimes repeatedly,
70
Table 4.3 Total number of synthetic observations used in analysis, for each arc segment
evaluated.
Arc Segments
1914-1963
1964-2013
2014-2063
2064-2113
2114-2163
No. Observations
952
4,212
18,262
18,262
18,262
Cum. Observations
952
5,164
23,426
41,688
59,950
to different reference frames. Even for modern observations, there may be errors in the
adopted precession values for the J2000 epoch. Additional error sources include errors due
to uncertainties of the initial conditions of the other planets (e.g., ephemeris errors), errors
due to corrections to earth rotation, and unmodeled instrumental corrections.
Since the primary impact of increasing the a priori positional error is to de-emphasize
those observations with larger errors, we chose to equally weight all our synthetic observations. Thus, we assume much more optimistic error estimates for early observations than
are representative in the actual observation archive and results in equal weighting for all
the synthetic observations. This should result in our calculations providing an optimistic
estimate of the detectability of the Pioneer perturbation.
An additional reason for electing to model a uniform observational accuracy across the
span of the synthetic observations in order to minimize variation in our results due to
another source of observational noise. For parts of the synthetic observational arc prior
to the advent of modern catalogs and CCDs, this error will be considerably less than that
found in the actual observational archive. Interestingly, the OrbFit program is capable of
varying a priori observational error across time or across different observatories, but we did
not make use of this capability in this paper.
Given these assumptions, we have four cases, which we illustrate in Table 4.4. The first
pair of cases (the “Gravity with PE” column in Table 4.4), and the focus of our analysis,
is for observations that are generated with a Pioneer-effect perturbation present meaning
71
Table 4.4 Four cases combining gravity models and forces determining motion.
Modelb
Gravity
Gravity with PEc
Only Gravityd
Forces Determining Motiona
Gravity with PEc Only Gravityd
“Matched”
“Mismatched”
“Mismatched”
“Matched”
a
By this we mean that the motion of the orbiting objects are determined by the forces indicated. The first column indicates that there
is really a Pioneer effect perturbation superimposed on Newtonian
gravity; the second column indicates that there is not an additional
perturbation.
b
“Gravity Model” refers to the assumed force law to which the
orbital observations are fit. The first row corresponds to the case
where the assumed force law is Newtonian gravity with an additional
Pioneer-like constant acceleration; the second row refers to a force
law purely Newtonian in character.
c
“Gravity with PE” indicates that there is a Pioneer effect perturbation.
d
“Only gravity” indicates that there is no Pioneer effect perturbation.
that the Pioneer effect exists in Nature and determines an object’s motion. These same
observations are analyzed with two gravity models. The first model is that of Newtonian
gravity with the addition of a constant radial acceleration with a value commensurate with
that associated with the Pioneer effect; the second is standard Newtonian gravity. The
comparison of the orbital solutions for these two cases correspond to a situation in which
the universe is one where the Pioneer effect actually exists and we analyze it to determine
which of our two gravity models is correct. This is the situation portrayed in the first column
of Table 4.4. The second pair of cases are comparable except that they are associated with a
universe where the Pioneer effect does not exist. Again, we compare two theories of gravity
to see if we can observationally distinguish between the two. This situation is portrayed
in the second column of Table 4.4. This paper investigates the first case only; as shown in
Page et al. (2006), the second case is nearly symmetric with the first, and produces similar
conclusions.
72
4.2
4.2.1
Results
Prediction of sky position from orbital elements
Projected orbits
As outlined above, our plan is to take ephemerides created with various known orbital
elements and predict positions on the sky when the motion is governed by Newtonian
gravity with– and without a Pioneer-like perturbing acceleration. This process involves
integrating the equations of motion of a body subjected to two different force laws.
The results of this calculation provide sky positions as a function of time. Since the
angular differences between the predicted positions are small, we separately consider the
difference in right ascension and declination resulting from the two situations. Fig. 4.1
shows the resulting position difference. The orbits have elements given in Table 4.1, except
for the eccentricity which is parametrically varied. Since the epoch of the elements is JD
2,451,545.0, the angular differences are zero at that date and diverge as one moves forward
and backwards in time from the element epoch. It is worth emphasizing that the two
ephemerides being compared are generated with two separate gravity models with identical
and exactly specified elements.
Figure 4.1 can be compared with Figs. 9 and 10 in Iorio and Giudice (2006). They drew
the conclusion that the divergence in position, since not observed over the past 90 years,
indicates the Pioneer effect does not exist. However, such a conclusion is based on the
idea that the elements (i.e., the initial conditions) are known precisely. The reality is that
these position predictions are those related to the elements derived from the assumption of
Newtonian gravity coupled with observed positions. If there is a “mismatch” between the
gravity model used to derive orbital elements and the reality that determines the actual
motion of the orbital bodies, these will not be the correct elements. Even if the elements are
derived from a “matching” reality and gravity model, it is remarkable how rapidly orbital
predictions can degrade outside the observation arc, especially when that arc is short relative
to the orbital period. These aspects will be discussed in detail in the next subsection.
73
(WPE - WOPE) Right Ascension Difference (arcsec)
600
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
500
400
300
200
100
0
-100
Panel A
-200
1900
1950
2000
2050
2100
2150
2200
Time (year)
140
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
(WPE - WOPE) Declination Difference (arcsec)
120
100
80
60
40
20
0
-20
Panel B
-40
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.1 Angular position differences when orbits are extrapolated with “known” elements
with– and without a Pioneer effect perturbation. Panel A (left) shows the right ascension
difference between the perturbed and unperturbed cases. Panel B (right) similarly shows
the declination difference.
74
Fitted orbits
If we take the ephemeris positions associated with one “reality” (e.g., the one containing
the Pioneer perturbation—see Table 4.4) consonant with the observation cadence shown
in Table 4.2, and add an isotropic, normally distributed random position error of 0.3 arc
seconds to each of the positions, the result is a set of synthetic positions that are illustrative
and representative of those that might have been obtained as observations of the bodies.
This set of observations can be divided into five different arcs covering 250 years (approximately one orbital period); thus, each arc covers an additional 50 years from the start of
the observations and represents an incremental one-fifth of an orbital revolution.
Each synthetic observation arc can be analyzed when a Pioneer-like perturbation is
included and when it is not, corresponding to the two rows in the first column of Table 4.4.
The observation fitting process serves to determine the elements of the orbit and these are
the elements that can then be used to predict sky position. How do the observed positions
differ when this procedure is followed?
Figs. 4.2 through 4.6 shows the difference in sky position as a function of time for the
orbital fits associated with the two gravity models. The elements are those given in Table 4.1
except for eccentricity which is varied parametrically. In all cases, the left hand graph shows
the right ascension difference while the right hand graph shows the declination difference.
Comparing these figures with Fig. 4.1 above and Figs. 9 and 10 in Iorio and Giudice (2006)
shows that for shorter arcs (those ranging up to 100 years long) the difference in predicted
motion for the two gravity models is quite small for the duration of the observation arc
and only begins to substantially diverge when the position is being extrapolated to times
beyond those for which observations exist. For a 150 year arc, small irregularities in the
position difference begin to be noticeable during the observational arc. As the arcs grow
still longer (to 200 years and beyond), more substantial irregularities are seen. Also, it is
generally true that positional differences are greater the greater the eccentricity, all other
things being equal.
75
(WPE - WOPE) Right Ascension Difference (arcsec)
250
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
200
Arc: 1914-1963
150
100
50
0
Panel A
-50
1900
1950
2000
2050
2100
2150
2200
Time (year)
(WPE - WOPE) Declination Difference (arcsec)
80
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
60
Arc: 1914-1963
40
20
0
Panel B
-20
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.2 Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 50
year arc. Panel A shows the difference in right ascension between determining the orbital
position with a gravity model including the perturbation and one not including the Pioneer
effect. Panel B shows the similar declination difference.
76
(WPE - WOPE) Right Ascension Difference (arcsec)
250
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
200
Arc: 1914-2013
150
100
50
0
Panel A
-50
1900
1950
2000
2050
2100
2150
2200
Time (year)
(WPE - WOPE) Declination Difference (arcsec)
80
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
60
Arc: 1914-2013
40
20
0
Panel B
-20
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.3 Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 100
year arc. Panel A shows the difference in right ascension between determining the orbital
position with a gravity model including the perturbation and one not including the Pioneer
effect. Panel B shows the similar declination difference.
77
(WPE - WOPE) Right Ascension Difference (arcsec)
250
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
200
Arc: 1914-2063
150
100
50
0
Panel A
-50
1900
1950
2000
2050
2100
2150
2200
Time (year)
(WPE - WOPE) Declination Difference (arcsec)
80
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
60
Arc: 1914-2063
40
20
0
Panel B
-20
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.4 Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 150
year arc. Panel A shows the difference in right ascension between determining the orbital
position with a gravity model including the perturbation and one not including the Pioneer
effect. Panel B shows the similar declination difference.
78
(WPE - WOPE) Right Ascension Difference (arcsec)
250
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
200
Arc: 1914-2113
150
100
50
0
Panel A
-50
1900
1950
2000
2050
2100
2150
2200
Time (year)
(WPE - WOPE) Declination Difference (arcsec)
80
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
60
Arc: 1914-2113
40
20
0
Panel B
-20
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.5 Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 200
year arc. Panel A shows the difference in right ascension between determining the orbital
position with a gravity model including the perturbation and one not including the Pioneer
effect. Panel B shows the similar declination difference.
79
(WPE - WOPE) Right Ascension Difference (arcsec)
250
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
200
Arc: 1914-2163
150
100
50
0
Panel A
-50
1900
1950
2000
2050
2100
2150
2200
Time (year)
(WPE - WOPE) Declination Difference (arcsec)
80
e = 0.001
e = 0.005
e = 0.010
e = 0.050
e = 0.100
e = 0.200
e = 0.300
60
Arc: 1914-2163
40
20
0
Panel B
-20
1900
1950
2000
2050
Time (year)
2100
2150
2200
Figure 4.6 Angular position difference when orbits are extrapolated with elements determined from synthetic observations generated with a Pioneer effect perturbation over a 250
year arc. Panel A shows the difference in right ascension between determining the orbital
position with a gravity model including the perturbation and one not including the Pioneer
effect. Panel B shows the similar declination difference.
80
Recall what the differences plotted in Figs. 4.2 through 4.6 represent. Synthetic observations for a universe with a Pioneer effect were generated and orbital elements were
determined by fitting the same observations to two alternative gravity models. One of
these models is correctly “matched” to the observations; that is, the gravity model used for
orbit fitting is the same one used to generate the observations. The other model does not
correspond to the one used to generate the observations. Thus, we would a priori expect
that the former would fit the data better than the latter.
What we see, however, is surprising. For observation arcs as long as a century, which at
best is the situation obtaining for Pluto at the current time, there are only relatively small
differences in the positions predicted by the correct gravity model and those predicted by
the mismatched model. In all cases, however, the predicted positions outside the range of
observations rapidly diverge from one another.
This behavior is a manifestation of two inter-related factors. First, the orbital fitting
problem is inherently nonlinear and is normally solved in the linear approximation. Even
if not mathematically chaotic, the system of equations is certainly sensitively dependent
upon initial conditions; small changes in elements can result in large changes in predicted
position outside the range of observations. Secondly, this sensitivity is exacerbated by the
problem of a short observation arc. The length of the entire observational archive for Pluto
is no more than about one-third of its orbital period. Even in as simple a case as linear
least squares curve fitting, a limited amount of independent variable data (corresponding
to a short observation arc) will lead to relatively large errors in the fitting parameters
(corresponding to the orbital elements). Together, these factors conspire to potentially
generate large position errors outside the observation arc, while increasing the length of the
observation arc can markedly reduce error over the whole of the arc and even beyond it.
Some of these issues can sometimes be alleviated by a change in variables. Use of other
than Keplerian orbital elements (e.g., equinoctial elements) can allow one to avoid some
problems with determining an orbital solution, in particular in cases with small eccentricities
or small inclinations. Similarly, a linear combination of Keplerian orbital elements can be
81
used to improve the accuracy of some elements (but see the footnotes on pages 92 and
93). However, those types of variable change do nothing for the issues associated with the
ill-conditioned nature of the linear matrix and a short observational arc.
In any case we see that we must fit observations to particular gravity models and adjust
orbital elements before predicted positions on the sky can be compared. Noting that deriving
orbital elements and predicting an orbit beyond a short observation arc provides little
information about the actual motion that will be seen once new observations are made, we
conclude that drawing conclusions from such extrapolations is totally unwarranted. Thus,
we can conclude nothing regarding the Pioneer effect and the motion of Pluto as it is
currently known, at least subject to the limitations of our methodology.
Now let us examine more closely the relatively small position differences at the beginning
of the observation arcs in Figs. 4.2 through 4.6. Fig. 4.7 is similar to Figs. 4.2 through
4.6, but shows an expanded view of the difference in position of a body with an eccentricity
of 0.3 (e.g., similar to Pluto) and a 100 year observation arc. At the beginning of the arc,
the difference in right ascension for the two gravity models is nearly six seconds of arc and
the difference in declination is about 1.5 arcsec. One would certainly think that this level
of difference would be observable; however, we argue below that it is not a distinguishable
difference given our current knowledge of Pluto’s orbit.
Figure 4.8 shows a subset of the residuals in both right ascension and declination of
actual observations with respect to a recent JPL ephemeris, DE414. The full set of residuals
show a number of clear outliers and we have removed from the set any residuals of magnitude
greater than ten seconds of arc. Prior to about 1960 there is clearly a greater spread in
the residuals than at later times. Additionally, prediscovery images taken prior to 1930
and dating to as early as 1914 have been found in the archive. These observations seem
to contain serious irregularities manifested by large and systematically biased residuals.
Supporting this assertion, Gemmo and Barbieri (1994) find that systematic differences
between the observed and calculated orbit are a continuing issue. Additionally, they find
that only about half of Pluto’s motion since its discovery has been observed in a systematic
82
(WPE - WOPE) Right Ascension Difference (arcsec)
10
5
0
-5
Panel A
-10
0.00
0.05
0.10
0.15
0.20
0.25
Fraction of an Orbital Revolution
0.30
0.35
0.40
(WPE - WOPE) Declination Difference (arcsec)
10
5
0
-5
Panel B
-10
0.00
0.05
0.10
0.15
0.20
0.25
Fraction of an Orbital Revolution
0.30
0.35
0.40
Figure 4.7 Angular position differences for Pluto when orbits are predicted with elements
determined from synthetic observations generated with a Pioneer effect perturbation. The
time axis is labeled in units of Pluto’s orbital period running from the beginning of modern
observations up to the present. Panel A shows the difference in right ascension between
determining the orbital position with a gravity model including the perturbation and one
not including the Pioneer effect. Panel B shows the similar declination difference.
83
and organized manner. They also comment that it is impossible to extrapolate Pluto’s
position more than a few years into the future. This is indicative of a poorly characterized
orbit.
The residuals of the synthetic observations with respect to a “mismatched” gravity
model are similar in character and magnitude to the differences between predictions for
different gravity models that are shown in Fig. 4.7. As observed previously, there seems to
be a significant difference between the two sets of predictions. A standard comparison of
these models (Bevington and Robinson, 2003) would calculate and compare χ 2 values for
the two models. If the resulting value is about unity, the fit is good.
The overall issues associated with model goodness-of-fit are complex and will be discussed later in Section 4.2.3; however, anticipating this complexity let us look more deeply
at the data. If we compare our “mismatched” orbit fit with actual observational data and
their associated fit, we will see that there are comparable systematic errors in both the
synthetic and the real datasets.
Simulated post-fit residuals with respect to the DE414 ephemeris
Systematic trends in residuals can be visually discerned more readily by examination of
normal points rather than individual data points. In a normal point plot, means and
standard deviations of the residuals are collected and plotted for each planetary opposition.
Fig. 4.9 shows the normal points for the DE414 residuals in the “high-low-close” portion
of the plot, where the “closing” value indicated by the small horizontal mark is the average
residual for each opposition and the length of the vertical line indicates a one standard
deviation variation above and below the mean residuals. The comments above about the
systematic bias of the prediscovery observations and the larger dispersion of residuals before
1960 are borne out in the normal plot.
Now, let us compare this data with normal points for the synthetic observations of
Pluto. In developing the observation cadence for the synthetic observations, we did not
consider the relative positions of the Earth, the Sun, and Pluto and thus did not concentrate
84
10
Residuals (arcsec)
5
0
-5
Panel A
-10
1900
1920
1940
1960
Year
1980
2000
2020
10
Residuals (arcsec)
5
0
-5
Panel B
-10
1900
1920
1940
1960
Year
1980
2000
2020
Figure 4.8 Observed minus calculated residuals for Pluto with respect to the DE414
ephemeris. Panel A provides the right ascension residuals in arc seconds while Panel B
gives the declination residuals. The same scale is used in this figure as in Fig. 4.7.
85
6
4
Residuals (arcsec)
2
0
-2
-4
Panel A
-6
1900
1920
1940
1960
Year
1980
2000
2020
6
4
Residuals (arcsec)
2
0
-2
-4
Panel B
-6
1900
1920
1940
1960
Year
1980
2000
2020
Figure 4.9 Normal points for the DE414 residuals and the residuals for the synthetic observations relative to their ephemeris. Panel A pertains to the right ascension residuals while
Panel B applies to the declination residuals.
86
synthetic observations around particular yearly oppositions. Since our primary purpose was
to illustrate broader issues with the data, this was done to avoid introducing additional noise
through a varying observational cadence. Thus, for the post-discovery residuals associated
with our synthetic observations we found the average and standard deviations for each
calendar year. For prediscovery images, our assumed observation cadence of one observation
per year clearly made the dispersion calculation impossible. In these cases, we accumulated
data by decade; thus, we calculated the mean and standard deviation for the 1914-1919
period and the 1920-1929 period and plotted the resulting values accordingly.
The normal points associated with the synthetic observations are also shown in Fig.
4.9. The average is shown by the solid line and the plus and minus one standard deviation
limits are shown as dotted lines. Several comments are in order about these graphs. First,
the width of the standard deviation spread on the synthetic observations is different from
that of the DE414 residuals. This is due to our assumption of a constant 0.3 arc second
astrometric accuracy of the synthetic observations. The actual observations that contribute
to the dispersion of the DE414 residuals have varying accuracies, ranging from large values
for the early observations to small values for current CCD observations. As pointed out
earlier, the level of astrometric accuracy used in the synthetic observations is much better
than that found in the actual observation archive until relatively recently. We chose to
model a uniform observational accuracy across the span of our synthetic observation arc in
order to make an optimistic estimate of the detectability of the Pioneer perturbation as well
as to minimize variation in our results due to another source of noise (e.g., the observation
error). Thus, rather than the uniform difference between the upper and lower limits, the
normal points of the actual DE414 residuals vary in width. If we had modeled a varying
error, such a variation in width would be expected for the synthetic observations as well.
Another point to be made about Fig. 4.9 is that while the prediscovery residuals for
the synthetic observations and those with respect to DE414 are of opposite signs, their
magnitudes are of the same order. In the former case, the large residuals are due to fitting a “mismatched” gravity model consisting of only nominal gravity to observations that
87
result from gravity plus an anomalous Pioneer acceleration; in the latter case, unknown
observational errors have resulted in large and biased residuals. What are we to make of
the difference in sign? We would argue that since there are errors of an unknown nature
present in these early observations, we have absolutely no basis is even assuming the sign of
the residual is indicative of reality. Although the prediscovery residuals have characteristics
that indicate that they might represent a constant offset in right ascension, an effect that
can be caused by many errors in the analysis of the observations, the limits on the residual’s variation can also accomodate a linear trend as is seen in the corresponding synthetic
observations. We can only observe that the approximate magnitude of the residuals at
early times are roughly the same for both real observations relative to the DE414 ephemeris
and the synthetic observations with respect to their ephemeris. Thus, we cannot draw
any conclusions about the existence or nonexistence of the Pioneer effect from our current
knowledge of the orbit of Pluto; its observation arc is too short for such a determination.
A third point with respect to Fig. 4.9 is that post-discovery residuals are similar for both
the synthetic observations and those of DE414 and very close for post-1960 observations.
Overall, the only place where the two sets of normal points diverge is in the prediscovery
era. Thus, neither set seems to indicate the existence or nonexistence of an additional
gravitational anomaly. Both sets of residuals possess patterned irregularities, but it is
impossible to say that one is superior to the other.
As a final comment on the comparison of the two sets of residuals, Fig. 4.10 shows
the total rms residual by epoch for the two cases. This quantity is the square root of the
sum of the squares of the residuals in right ascension and declination with an appropriate
adjustment for the cosine of the declination. As above, DE414’s residuals are accumulated
by opposition, while the residuals of the synthetic observations relative to their ephemeris
are accumulated by decade for prediscovery observations and by year thereafter. The quality
of the residuals in the two cases is quite high over most of the observation arc. Even in the
prediscovery era, the trends of the residuals are similar. As before, there is a linear trend
in the synthetic residuals, but the entire prediscovery regime only includes two points. The
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6
rms Residuals (arcsec)
5
4
3
2
1
0
1900
1920
1940
1960
Year
1980
2000
2020
Figure 4.10 Total rms residual by epoch for the DE414 case and the synthetic observation
case. The points show DE414’s rms residual accumulated by opposition. The lines show
the rms residual of the synthetic observations relative to their ephemeris accumulated by
decade for prediscovery observations and by year thereafter.
trend of those two points is not dissimilar to that of the DE414 residuals. Even if the
prediscovery observations possessed a systematic error of as large as two seconds of arc, the
trend in rms residual is not substantially different from those of the synthetic observations.
From the discovery of Pluto to about 1960, the DE414 total rms residuals are greater
than those found for the synthetic observations. This difference is expected due to the
conservative assumptions of astrometric accuracy that were made in generating the synthetic
observations. However, the trend of the residuals in both cases is similar, indicating a
comparable fit to the observations. From about 1960 to the mid-1990s, both sets of residuals
fit quite well. From about the mid-90s on, the actual residuals are somewhat less that those
associated with our synthetic observations. This would represent the first sign that the
orbit of Pluto fits one gravity better than another.
Given the likely, but uncharacterized, errors in pre-discovery observations, we are led to
the observation that real observations are explained about as well by DE414 as the synthetic
89
observations are explained by their ephemeris.
The context of this comment must be kept in mind. The DE414 residuals relative to its
ephemeris represent a fit to the actual observation archive by a normal gravity model without
a Pioneer anomaly. The synthetic observations are created with a Pioneer anomaly present
and thus their underlying motion is not in keeping with normal gravity. When the synthetic
observations are fit to a gravity model without a Pioneer anomaly included in the dynamics,
the fit is almost indistinguishable from that of the DE414 ephemeris. Especially given the
uncharacterized errors apparently present in the prediscovery observation archive, we cannot
distinguish between the two gravity models on the basis of the current observational record.
However, we note that this is at least as much due to the shortness of the observation arc
for Pluto as due to any difference in gravity models.
What adds special interest to the Pluto case, however, is that due to its relatively large
eccentricity Pluto shows potentially detectable differences between the two gravity models if
the entire one hundred year observation arc were uniformly reliable. Thus, we are led again
to the desirability of continuing to gather astrometric data on Pluto and expect that an
astrometric difference in position might soon be able to falsify the existence of the Pioneer
anomaly. Nevertheless, for the length of the currently available observation arc and because
of the uneven quality of the observational archive, we cannot currently distinguish between
the two gravity models on the basis of orbital position.
4.2.2
Errors in orbital elements derived from observations
There are six orbital elements corresponding to the six degrees of freedom of the classical
dynamical problem in three dimensions. Given that elements are determined from observations by a model fitting process, we must ask whether this large number of degrees of
freedom is somehow redundant and whether a simpler model of the dynamics can be used
to illuminate the problem.
This is the approach taken by Tangen (2007), where synthetic observations are generated
for a simplified dynamical model with four degrees of freedom. Conclusions are then drawn
90
about the degree to which a Pioneer effect perturbation can be fit to this simplified model
and thus whether the Pioneer effect exists.
The problem with this approach is that the elements that are ignored or suppressed in
Tangen (2007) are precisely those with the greatest uncertainty resulting from the orbital
fitting process. Further, as will be discussed below, care must be taken when using rms
residuals as a primary measure of goodness of fit as far as model selection is concerned.
The underlying cause of the problems outlined above was discussed earlier. Briefly, this
behavior is due to two inter-related factors: First, the orbital fitting problem is inherently
nonlinear and is normally solved in the linear approximation; second, the sensitivity of
the orbital solution to initial conditions is exacerbated, especially in the case of Pluto, by
the problem of a short observation arc. These issues can sometimes be alleviated by a
change in variables. Use of other than Keplerian orbital elements can result in an improved
determination of orbital elements (Brouwer and Clemence, 1961). However, this type of
variable change does nothing for the issues associated with a short observational arc. The
uncertainties arising from these sources make the approach in Tangen (2007) problematic.
In simplifying the problem by assuming away two or more degrees of freedom, the full
parameter space, which has ample room to conceal the differences in predicted position, is
not available for that purpose. This provides the false impression that perturbation effects
are observable when, in fact, they are not.
One might think that the Pioneer acceleration, assumed to be radial, would only effect
the motion of an orbiting body in its orbital plane. In a theoretical sense, this is true.
The Pioneer effect exerts no torque on the orbiting body, and the plane of the orbit remains unchanged as time progresses. An analytical investigation of such an orbit can be
considered as two dimensional and the number of degrees of freedom of the motion can be
reduced accordingly. This is the essence of the approach of Tangen (2007). However, in an
observational context the motion is not restricted to a plane. There are at least two factors
that force orbital motion to be considered to occur in three dimensional space with the
associated degrees of freedom. The first is that unless the observer’s location (e.g., Earth)
91
remains in the plane of the orbit of the body, there will be parallax introduced which forces
the motion into three dimensions. Similarly, observational errors will unavoidably make
the object’s position vary from its theoretical planar motion. Since both of these are a
priori unknown and are only determined in the context of a least squares orbital solution
for the observed object, the object’s motion must necessarily be considered in its complete
dimensionality. Of course, this requires all six degrees of freedom of the classical dynamical
problem. There can be large errors associated with orbital elements and the extra degrees
of freedom can provide ample room to “hide” orbital variations. This will be discussed in
detail below.
As shown in any numerical analysis text (for example, Heath (1997, chapter 2)), an
upper limit on the relative error of a fitted model parameter is related to the relative error
of the independent variables by a condition number. The condition number can be estimated
by the square root of the ratio of the largest to the smallest eigenvalues of the associated
normal system of equations (Heath, 1997, chapter 4). 3
It might be thought that the ill-posed nature of the orbital fitting problem could be
obviated through a coordinate transformation. Indeed, there are alternative orbital elements that alleviate some difficulties with orbits of too small eccentricity or inclination,
for example, equinoctial elements (Brouwer and Clemence, 1961). Alternatively, new variables that are linear combinations of the elements considered here can be used to alter the
mix of errors among them. Thus, rather than specifying the time of perihelion passage,
we can specify some instant of time and then specify either the mean anomaly, the mean
longitude (the sum of the longitude of the ascending node, the argument of perihelion, and
3
The differential correction problem can be stated as a linear matrix equation Ax = b, where A is an
appropriate Jacobian matrix, x is a vector of elements, and b is a vector of observations. The normal equations
are formulated by multiplying this equation by the transpose of A (denoted by AT ), giving AT Ax = AT b.
This system of equations is solved formally by inverting the AT A product and multiplying again, giving
x = (AT A)−1 AT b. In general, the A matrix is not square. It has a column for each orbital element (e.g., six
columns) and a row for each measured sky coordinate (e.g., twice the number of observations). However,
the AT A matrix is square and possesses a corresponding set of eigenvalues. The ratio of the largest to the
smallest eigenvalues of the AT A matrix provides the condition number of the normal equations. However,
the condition number of the normal equations is the square of the condition number of the A matrix. Thus,
the original equation Ax = b has a condition number equal to the square root of the condition number of
the normal equations.
92
the mean anomaly), or the true longitude (the sum of the longitude of the ascending node,
the argument of perihelion, and the true anomaly) at that moment. However, it can be
shown that the condition number of a problem like this is invariant under linear coordinate
transformations (Heath, 1997, chapter 4). 4 Although nonlinear coordinate transformations
might alleviate this problem, there are none known to the authors that are used in practical
astrometric work using OrbFit or other standard software packages.
Fig. 4.11 shows the condition number of our orbital fitting problem as a function of
orbital eccentricity and observation arc length. For short arcs approximating one fifth of
an orbital revolution, the condition number remains fairly large even for relatively large
eccentricities. Low eccentricity objects, independent of arc length, always possess a relatively large condition number. Even for eccentricities similar to that of Pluto, the condition
number for a short arc problem implies large errors in orbital elements.
Ordinarily, the condition number is important in the context of numerical roundoff
with finite precision arithmetic in a computer. This is not the situation here; however, our
precision constraint is the accuracy of the position observations that drive the orbital fitting
process.
Thus an angular precision of 0.3 seconds of arc in right ascension and declination represents a relative error on the order of 10 −4 percent or less. With a condition number of
100, this translates into an error of about 30 seconds of arc in orbital parameters like mean
anomaly and argument of pericenter.
The corresponding results when we fit our synthetic observations bear out these theoretical considerations. Fig. 4.12 shows the relative error (one sigma estimated error in the
linear approximation) in orbital elements obtained with different observation arc lengths.
The cases shown are generated with a Pioneer perturbation present; these elements are all
4
Matrices A and B are said to be similar when B = C −1 AC, where C is nonsingular. Such transformations
arise from changes of variables. Now, suppose we have an eigenvalue problem, By = λy and let us perform
this similarity transformation. Then By = λy implies C −1 ACy = λy, which gives A(Cy) = λ(Cy) which
can be stated as Ax = λx so that A and B have the same eigenvalues and the eigenvectors of A and B
are related by x = Cy. Thus, similarity transformations preserve eigenvalues but not eigenvectors. Since
the condition number of a problem is the ratio of the largest to smallest eigenvalues, we see that condition
number is preserved under linear coordinate transformations.
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600
1914-1963 arc
1914-2013 arc
1914-2063 arc
1914-2113 arc
1914-2163 arc
500
Condition Number
400
300
200
100
0
0.001
0.01
0.1
1
Eccentricity
Figure 4.11 The condition number of the orbital fitting problem as a function of eccentricity
for different observation arc lengths.
“matched” cases. It is worth noting that a low-eccentricity object (Panel A) retains relative
errors in argument of pericenter and mean anomaly of about one part in 10 4 and 105 , respectively, even for a complete orbit. These errors amount to about four to five seconds of arc,
respectively, over an order of magnitude greater than the nominal astrometric error. Thus,
for a nearly circular orbit it is very difficult to differentiate between a Pioneer-perturbed and
an unperturbed case. These errors drop progressively as the eccentricity increases. Panel
D shows the corresponding case for a “realistic” Pluto, where the relative errors in these
two elements are less than 10−6 for a complete orbit, amounting to about 0.05 arc second.
Would that we had a complete orbit’s observations for Pluto.
The four panels show a representative set of orbital eccentricities. What is generally
true for these figures is that for short arcs, the relative error in the elements is much greater
than it is for the longer arcs. Similarly, the uncertainty in the location of the perihelion
(as measured by the argument of the pericenter and the mean anomaly) is quite high and
remains so for relatively long observation arcs. Additionally, since these errors are derived
94
in the linear approximation, the real errors are likely to be greater, perhaps much greater.
1.0e+00
e = 0.001
1.0e-01
1.0e-02
1.0e-02
1.0e-03
1.0e-03
Relative Error
Relative Error
1.0e-01
1.0e+00
1914-1963 arc
1914-2013 arc
1914-2063 arc
1914-2113 arc
1914-2163 arc
1.0e-04
e = 0.010
1.0e-04
1.0e-05
1.0e-05
1.0e-06
1.0e-06
1.0e-07
1914-1963 arc
1914-2013 arc
1914-2063 arc
1914-2113 arc
1914-2163 arc
1.0e-07
Panel A
Panel B
1.0e-08
1.0e-08
a
e
i
Ω
ω
M
a
e
i
Orbital Element
M
1.0e+00
1914-1963 arc
1914-2013 arc
1914-2063 arc
1914-2113 arc
1914-2163 arc
e = 0.050
1.0e-01
1.0e-02
1.0e-02
1.0e-03
1.0e-03
Relative Error
Relative Error
ω
Orbital Element
1.0e+00
1.0e-01
Ω
1.0e-04
e = 0.300
1.0e-04
1.0e-05
1.0e-05
1.0e-06
1.0e-06
1.0e-07
1914-1963 arc
1914-2013 arc
1914-2063 arc
1914-2113 arc
1914-2163 arc
1.0e-07
Panel C
Panel D
1.0e-08
1.0e-08
a
e
i
Ω
Orbital Element
ω
M
a
e
i
Ω
Orbital Element
ω
M
Figure 4.12 Relative error in orbital elements in the linear approximation as observation
arc varies. Panels A through D show cases with progressively greater eccentricities. Legend: a=semimajor axis; e=eccentricity; i=inclination; Ω=longitude of ascending node;
ω=argument of pericenter; M =mean anomaly
This implies a large error in mean anomaly or argument of pericenter, both associated
with the spatial and temporal location of perihelion. This, coupled with the observational
nature of the astrometric problem necessitating a full three dimensional treatment, forces
us to conclude that a substantial amount of error can be absorbed into a multidimensional
parameter space and, since it is unclear how the error can be allocated across the parameter space dimensions, the full parameter space must be included to properly reflect the
uncertainties of the motion. Thus in order to drive the error in orbital elements down to
levels allowing us to determine whether the Pioneer effect exists, we need a full dynamical
model in three-dimensional space and either a relatively high eccentricity object or a long
95
observation arc or both.
As observed before, our approach is itself an approximation. A “full dynamical model”
should include not only adjustment of the orbital elements of Pluto, but also simultaneous
adjustment to those of Uranus and Neptune as well. It is only in this way that all the second
order perturbations to the system can be taken into account. However, as observed above,
in order to illustrate the ideas concerned and the weaknesses of the approaches outlined
above, we restrict our attention here to manipulating the orbit of Pluto. This approach will
be justified further in Section 4.3.
4.2.3
How can we assess the quality of an orbital fit?
The problem of assessing model validity and comparing alternative models is huge and any
kind of complete treatment is well beyond the scope of this paper. However, given the
comments above, it is appropriate to offer some observations on this large and interesting
topic.
The issue of goodness-of-fit for models is not a simple one. Often, a χ 2 is calculated
and compared to determine which of competing models is the preferred. However, there are
complexities involved. For example, Narsky (2003) discusses goodness-of-fit and points out
that while use of the χ2 statistic as a goodness-of-fit measure for binned data is justifiable
and is often done, it has flaws. He further observes that for unbinned data (such as we have
here), there is no equivalent popular method for measuring goodness-of-fit. Indeed, Heinrich
(2003) gives several examples of problematic goodness-of-fit cases. Similarly, Nat (2006)
advocates investigating the structure of residuals to find patterns, biases, and sytematic
differences between the model and the data.
We can divide metrics for model quality into two broad categories that, although useful,
are certainly not mutually exclusive. First, we can consider what might be termed point
estimates of fit quality. Often, a measure of merit is used that is related to the rms residuals
between the model and the data. Fig. 4.13 compares our rms residuals for various eccentricities. Observations are generated with a Pioneer effect present. One panel of this figure
96
shows the results of fitting the “mismatched” case of the Pioneer-perturbed observations
being fit to a strictly Newtonian gravity model; the other panel shows the corresponding
“matched” case where the gravity model includes a Pioneer perturbation. In both cases
the underlying synthetic observations contain a Pioneer perturbation. The most striking
feature of this figure is how slowly the residual degrades as the arc length increases, especially for low eccentricity objects. Indeed, until the observation arc is over 100 years long,
there are only small differences in the quality of the fit as measured by rms residuals for
any of the eccentricities evaluated. Even in the “mismatched” case, the rms residual is still
less than half an arc second when the arc is 150 years long. In keeping with the discussion
above about the ill-conditioned nature of the orbital fitting problem, we see that strictly
relying on rms residuals as a measure of merit for model selection can be problematic.
Another measure of merit that is sometimes invoked is the uncertainties in the orbital
elements themselves. The orbital fitting process automatically provides mathematically
well-justified estimates of the elements, although these are in a linear approximation that
has its own difficulties since the orbital fitting problem is intrinsically nonlinear. This
approximation provides error estimates similar to those shown in Fig. 4.12. Across the
eccentricities shown, there is substantial error spread throughout the parameter space. In
particular, it might be instructive to compare Panels A and D in Fig. 4.12. In Panel A,
a very low eccentricity case, the errors in semimajor axis, inclination, and longitude of the
ascending node drop to a level allowing seven or eight significant digits to be present in the
corresponding element values. At the same time, however, the uncertainties in eccentricity,
argument of the pericenter, and mean anomaly remain relatively large. In the case with the
largest eccentricity evaluated, Panel D shows the uncertainty to be more uniformly spread
across elements. Trading off the uncertainties of one element against those of another to
compare two models is therefore at best arbitrary and could be misleading.
Position error in the sky plane is yet another point metric for fit quality. In this case,
uncertainties in the orbital elements are mapped directly onto the sky. Here, all the comments above about the uncertainty of the elements are valid, plus the observation that
97
3.00
e = 0.300
e = 0.200
e = 0.100
e = 0.050
e = 0.010
e = 0.005
e = 0.001
RMS error of orbital fit (arcsec)
2.50
2.00
1.50
1.00
0.50
Panel A
0.00
0
50
100
150
200
250
300
Observation Arc Length (year)
3.00
e = 0.300
e = 0.200
e = 0.100
e = 0.050
e = 0.010
e = 0.005
e = 0.001
RMS error of orbital fit (arcsec)
2.50
2.00
1.50
1.00
0.50
Panel B
0.00
0
50
100
150
200
Observation Arc Length (year)
250
300
Figure 4.13 Rms residual of orbital fit as observation arc length varies. Panel A shows the
“mismatched” case where the observations are fit to a gravity model not containing the
Pioneer effect. Panel B shows the “matched” case where the same observations are fit to a
gravity model that includes a Pioneer effect perturbation.
98
the mapping from the six-dimensional space of orbital elements to the two-dimensional sky
plane is highly degenerate; many sets of elements can map to the same region of sky. Thus,
the sky plane position, by itself, can have problems as a point measure of model fit quality.
In particular, comparing the nominal solution for two models can result in a large error
volume about the calculated positions of objects.
All three approaches to providing point estimates of model fit quality have one common
weakness. They are all based on a linearized form of the orbital fitting problem and make
the assumptions associated with least squares fitting like normally distributed errors, independence, and no bias or systematic errors. Possibly the biggest manifestation of this is
that we should not expect to be able to accurately extrapolate very far beyond the available
observation arc unless there is at least a full orbital revolution’s volume of data and even
then, extrapolation is dangerous.
A possibly better approach to comparatively assessing model alternatives is to use some
type of global comparison. Of broadest applicability in this context is the idea of testing for
the normality of the residuals between the model and the data. The overall basis for these
tests is to look at the structure of the residuals and to perform statistical tests for lack of
fit (see, for example, Nat (2006, Section 4.4.4.6)). The basis for these tests is to search for
patterns, biases, and systematic differences between the model and the data.
Another approach that could be used to address the global quality of fit is to use bootstrap techniques. This approach could involve, as done here, synthesizing observations
whose error characteristics reflect those found actual observations and then using the synthetic observations to assess actual variations in the fit quantities. Another approach of
this sort would be to remove some of the data from the fit and see how the fitted solution
extrapolates to the times that were removed. A similar approach would be simply to remove data randomly from the observation set and analyze the resulting variations in fitting
parameters.
One form that this approach could take would be to conduct a full Bayesian analysis
99
of competing models. The distributions of orbital elements resulting from synthetic observations that arise from a Monte Carlo process could be used to compare the probability
of obtaining the observations in light of the competing models (see, for example, Gregory
(2005); Jaynes and Bretthorst (2003); Sivia and Skilling (2006)). Although beyond the
scope of this chapter, the findings discussed here show that there are not currently enough
data to warrant this type of analysis; however, the advent of Pan-STARRS and LSST will
change that situation in the near future.
4.3
Discussion
In the analysis described above we first showed that one cannot simply take orbital elements
resulting from the fit of observations to a particular force model and use them to predict
positions resulting from motion under the influence of another force. Rather, we must refit
the orbits to the observations under the new force model. In the case of Pluto, this produces
a well-fitting orbit that is indistinguishable in a practical sense, at least as long as the
observation arc is short enough, from the unperturbed motion. Thus, without redetermining
the elements we cannot make sweeping generalizations about whether or not the outer
planets’ orbits show that the Pioneer effect does or does not exist.
Similarly, although making simplifying assumptions about a physical situation in order
to draw conclusions is a time-honored theoretical mode of attack, if the physical model is
oversimplified we can be misled into erroneous conclusions. As seen above, in an observational context, both observer position and observational errors lead to the necessity of
introducing the third spatial dimension with its associated degrees of freedom. If we do
not keep an appropriate number of degrees of freedom, the problem can be oversimplified
too much and mislead us into unwarranted conclusions. In particular, we must take care in
using such a simplified model to conclude that the Pioneer effect does not exist.
Once again, it should be emphasized that our approach is itself an approximation.
To properly conduct an analysis of the sort outlined here, the orbital parameters of the
entire system of outer planets should be included. This would bring into the calculation
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1.6
Uranus-Pluto
Neptune-Pluto
1.4
Acceleration/Pioneer acceleration
1.2
1.0
0.8
0.6
0.4
0.2
0.0
1900
1950
2000
Time (year)
2050
2100
Figure 4.14 Gravitational acceleration exerted by Uranus and Neptune on Pluto as a function of time.
all second order perturbations. However, we have taken a simplified approach and believe
it accurately and fairly addresses the uncertainties in the orbit of Pluto. One reason we
believe our simplified approach is valid is illustrated in Fig. 4.14.
Fig. 4.14 shows the force per unit mass (in units of the Pioneer acceleration) exerted by
Uranus and Neptune at Pluto’s position over the period of time we have considered. Perhaps
surprisingly, due to the relative positions of the planets in their orbits, Neptune exerts less
force on Pluto than Uranus over most of this period. The magnitude of the force is of the
order of the Pioneer acceleration for both planets. If the Pioneer effect exists, we would
expect the orbital elements of Uranus and Neptune to change, but their positions would
change by very little. The magnitude of the forces they exert on Pluto would therefore
change by an amount much less than the current magnitude of those forces. Thus, we argue
that the approach used in this paper, while not as accurate as a full second order calculation
involving all the outer planets, is accurate enough for our purposes.
Given the comments above, how then are we to compare alternative models? There are
a number of methods that we can use to compare and assess models and their results. In
101
the orbit fitting context, these have been discussed above in terms of point estimates and
global estimates of goodness of fit. The simplest point estimate is to simply calculate the
rms residual of the fit compared with the input observations. However, as we’ve seen, the
ill-conditioned nature of the orbital fitting problem can sometimes make the residual a poor
candidate for this role. Errors, in the linear approximation, to the orbital elements can be
assessed to determine the quality of the fit. Further physical insight can be gathered from
inspecting the sky position errors that result from element errors. Global assessments of
model fit primarily revolve around the normality of residuals. There are lack of fit tests that
can be used to test the residuals and determine if there are any indications of a deficient
model. Generally, a lack of fit is manifested as patterns, biases, and systematic variations
in the residuals, which would indicate a poorly fitting model.
Which of these metrics is best? The reality is that determining the quality of a model
and comparing model effectiveness is a complex problem. We need all these measures
of model fit. Statistical tests should be performed comparing predicted positions, taking
proper account of the associated errors, to test the hypothesis that the positions predicted
under the two dynamical models are different. Only in this way can the existence of a
perturbation like the Pioneer effect be falsified through astrometric methods.
As discussed earlier, Pluto is very interesting in that orbital fits to the two gravity models
show deviations in predicted position that are probably detectable if the entire observation
arc consisted of reliable measurements. However, prior to about 1960, there is a significantly
greater dispersion in residuals that at later times. Only about half of Pluto’s motion since
its discovery has been the result of systematic and organized observing campaigns (Gemmo
and Barbieri, 1994). What adds special interest, however, is that because of its relatively
large eccentricity Pluto is likely to show differences in position predictions for the two gravity
models in the relatively near future as more observations are accumulated.
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4.4
Conclusions
The analysis described above shows two major things. First, we must fit observations to a
particular dynamical model and adjust orbital elements before predicted positions on the sky
can be compared. Orbital parameters are derived from observations which have associated
an unavoidable error. The determination of orbits is a model fitting process which has
its own associated error sources. Extrapolating sky positions very far past the end of an
observation arc can result in predicted observations becoming inaccurate so rapidly as to be
worthless. The implication of these findings is that “matched” and “mismatched” gravity
models cannot be distinguished on the basis of observable sky positions for observation arc
lengths similar to those currently obtaining for Pluto.
Similarly, in order to draw conclusions about differences in position in the sky, we
must be careful not to oversimplify the dynamical model used to draw the conclusions.
Suppressing degrees of freedom in the dynamics simplifies the orbital determination problem
to just such a degree. The orbital determination problem is nonlinear and the customary
solution methods are approximations. Thus, any missing or ignored degrees of freedom can,
if present, conceal dynamical effects associated with differing gravity models; we are forced
to make use of the full dimensionality of the dynamical problem. In particular, a substantial
amount of variation can be absorbed into a multidimensional parameter space and the full
parameter space must be considered to properly reflect differences in motion of the outer
planets due to the Pioneer effect.
The problem with the simplified approach is a two-headed one. First, the orbital fitting
problem is inherently nonlinear and is normally solved in the linear approximation. Even
if not mathematically chaotic, the system of equations is sensitively dependent upon initial
conditions. Thus, small changes in elements can result in large changes in predicted position
outside the range of observations. This sensitivity is exacerbated by the problem of a short
observation arc. The length of the entire observational archive for Pluto is less than about
one-third of a complete revolution. Together, these factors conspire to potentially generate
large errors outside the observation arc, while increasing the length of the observation arc
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can markedly reduce error over the whole of the arc and even beyond it.
We must conclude that we do not know the orbit of Pluto as well as we might have
thought. We must continue to perform astrometry on it in order to be able to comment
on the accuracy with which we know its orbit. Using current data, we cannot assert that
the motion of Pluto demonstrates that the Pioneer effect does not exist. That jury is still
out. Of course, this does not mean that the Pioneer effect exists. It does mean that we
cannot deny the existence of the Pioneer effect on the basis of motions of the Pluto as
currently known. Further observations are required before such an assertion can be made
with confidence.
It should again be emphasized that our approach is itself an approximation. The dynamical system that should be analyzed to provide a comprehensive answer to the question
of the detectabilty of the Pioneer effect should include not only adjustment of the orbital
elements of Pluto, but also simultaneous adjustment to those of Uranus and Neptune as
well. It is only in this way that all the second order perturbations to the system can be
taken into account. Our approach here, however serves to illustrate the ideas concerned
and the weaknesses of the approaches outlined above.
Finally, it should be pointed out that, in addition to the observations of individual
objects discussed in this paper, there are other related approaches to assessing gravity in
the outer Solar System. For example, recently Wallin et al. (2007) have investigated the use
of ensembles of Trans-Neptunian Objects (TNOs) to ascertain whether their motion reflects
unknown additional perturbations and showed that the Pioneer effect was not consistent
with the motion of TNOs. On the other hand, in the area of the observation of individual
objects as discussed in this paper, the advent of Pan-STARRS and LSST in the next several
years should provide sufficient data to determine whether the motion of outer Solar System
bodies reflect the action of unknown forces. This determination should occur over time
frames discussed in this paper. However, a combination of the techniques of Wallin et al.
(2007) and the considerations presented here should provide definitive answers more quickly.
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Chapter 5: Comets as Gravity Probes
There is another group of objects that might provide a vehicle for assessing the existence of
the Pioneer effect through astrometry: the comets. Following the same general theme, we
will now briefly look at them. Can they provide a vehicle for investigating the gravitational
field in the outer Solar System?
Previously, we have emphasized the necessity of using complicated tools to investigate
complicated Solar System dynamics. Here, we will take a slightly different tack. Comets
are distinguished by the source of their comae and tails: outgassing. To the extent that
any dynamic effects of cometary outbursts cannot be quantified, small perturbations like
the Pioneer effect cannot be distinguished.
Thus, the purpose of this chapter is to investigate whether outgassing prevents the use
of comets for exploring gravity in the outer Solar System.
The remainder of this chapter is divided into four sections. Section 5.1 will discuss the
methodology employed to make the assessment. Section 5.2 discusses the results of the
analysis. Finally, Section 5.3 provides a discussion of the results and Section 5.4 presents
conclusions.
5.1
Methods and Models
The approach taken in this chapter is to model the orbits of comets in the outer Solar
System by means of Newtonian gravity and two-body, planar motion. We will consider the
Sun’s field to be spherically symmetric and will ignore the gravitational perturbations due
to planets and the larger asteroids on the motion of the bodies of interest. While the importance of these effects is recognized, especially during the conduct of precision astrometry,
they do not need to be considered in detail in the beginning of assessing the feasibility of
105
our approach. Initially, we only explore the perturbative effects of the Pioneer effect on
comet orbits. Since these effects, to first order, are linearly independent of other orbital
perturbations (e.g., perturbations due to planets), the latter can be safely ignored. Other
perturbations, for example the anisotropic thermal radiation giving rise to the Yarkovsky
Effect for asteroids, Non-Gravitational Forces (NGF) due to outgassing for comets, General
Relativity, and the Pioneer effect will be addressed as appropriate.
The general approach used is to model the motion of bodies of interest subject to the
perturbing forces of interest and to compare the heliocentric angular differences between the
comets in the different cases. The time evolution of these angular differences is considered
along with the distances of the bodies and the precision with which their orbits are known
to determine whether or not the effects of the perturbations can be detected and whether
they can shed any illumination on the nature of the mass distribution in the outer Solar
System.
A standard implementation of the Runge-Kutta-Fehlberg integrator is used to determine the orbits of the objects of interest. The particular routine used was RKF45 and was
obtained from the National Institute of Science and Technology GAMS web-site. 1 While
recognizing that Runge-Kutta integrators are not generally known for their high precision
results, they are adequate for the feasibility investigation conducted here since we are examining individual orbits rather than systematic long-term trends.
The approach outlined above is used for sample selection and provides a vehicle for first
order exploration of the effects that might be observed if the Pioneer effect were real. This
approach would be complete in an ideal world, but we must perform our science in a messier
reality. As observed previously, because the motions of minor planets are complex, we really
need to carry our analysis one step further. Since unavoidable observational errors and the
motions of many perturbing bodies influence the dynamics of minor planets, the general
approach towards understanding their motion involves determining orbital elements in such
a way as to minimize discrepancies between observation and prediction. In our context,
1
Available from NIST at http://gams.nist.gov.
106
the problem is that adjustment of orbital parameters might allow motion perturbed by the
Pioneer effect to be masked completely and might make the Pioneer effect unobservable in
practice. For example, a change in orbital eccentricity might allow motion pertubed by the
Pioneer effect to be explained completely in terms of a non-Pioneer model. In this case,
there would be no way to show the existence of the Pioneer effect because the effect would
be concealed beneath the variation resulting from measurement errors. However, as we will
see below, for comets, the simpler approach is warranted.
5.1.1
Non-Gravitational Forces
Comets also suffer orbital perturbations due to Non-Gravitational Forces (NGF) that presumably result from outgassing. The NGF are parametrized in a standard way (Marsden et
al., 1973) and departures from osculating orbital elements provide estimates of the values of
acceleration experienced by the comet. These forces have a substantial effect on the orbital
parameters of comets, amounting to as much as several days difference in the predicted
time of perihelion passage, a difference comparable to that produced by the Pioneer effect.
This standard parametrization is of a statistical nature. Since there is a variation in NGF
from orbit to orbit, presumably as the comet’s “dirty snowball” nature changes with multiple passes by the Sun, it is difficult or impossible to predict the exact motion of comets
throughout their orbits.
5.1.2
Comet Sample Selection
There are surprisingly few comets whose orbits are both known sufficiently accurately to be
of interest and whose aphelion distance is greater than our assumed Pioneer effect cutoff.
Additionally, because of their extended natures, it is difficult to unambiguously determine
the center of light of the comet (and even that is not necessarily indicative of the actual
location of the nucleus). Thus, determining the precise location of comets so that their
orbits can be determined accurately is quite difficult.
Since there is a variation in NGF from orbit to orbit, presumably as the comet’s “dirty
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Table 5.1 Orbital parameters of comets susceptible to the Pioneer Effect.
Comet
a
e
T
Q
A
1P/Halley
17.834 0.967143 75.32 0.586 35.082
12P/Pons-Brooks
17.121 0.954812 70.75 0.774 33.469
13P/Olbers
16.907 0.930297 69.52 1.178 32.635
23P/Brorsen-Metcalf 17.069 0.971952 70.52 0.479 33.660
38P/Stephan-Oterma 11.248 0.860022 37.72 1.574 20.921
109P/Swift-Tuttle
26.092 0.963226 133.28 0.960 51.225
122P/deVico
17.681 0.962709 74.35 0.659 34.702
Notes: a is semimajor axis in AU, e is eccentricity, T is period in
years, Q is perihelion distance in AU, and A is aphelion distance in
AU.
snowball” nature changes with multiple passes by the Sun, we consider only comets with
nearly three perihelion passages resulting from nearly two complete orbits and that pass
more than 20 AU from the Sun. The Jet Propulsion Laboratory’s Horizons ephemeris system (Giorgini et al., 1996) contains 522 such comets, including those with orbital elements
determined at multiple epochs. This list was winnowed in a straightforward way by choosing, in those cases where elements were determined for multiple epochs, the most recent
epoch whose data arc included nearly two complete orbits about the Sun. Comets with
eccentricities greater than or equal to unity were also excluded. Table 5.1 shows selected
orbital elements of the resulting short list of seven candidate comets satisfying these criteria.
5.2
Results
As early as 1823 secular accelerations of comets were observed (Encke, 1823), and various
hypotheses were proposed to explain them. Beginning in 1968, Marsden and his collaborators began a series of papers addressing the issues associated with NGF and comets.
Beginning by establishing that short period comets experience both secular accelerations
and decelerations (Marsden, 1968), continuing with the development of an empirical model
of the NGF (Marsden, 1969), and finally culminating in a physically justified model for
NGF (Marsden et al., 1973) that is founded in the “dirty snowball” or icy-conglomerate
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cometary model (Whipple, 1950). Investigations along these lines continue. Short period
comets are relatively easy to observe and to establish NGF parameters, and even to study
how the accelerations change from orbit to orbit (Yeomans, 1994). More recently, longperiod comets were investigated using positional observations only and corroborated the
good agreement of the Marsden model with observations (Królikowska, 2004).
The standard model of NGF contains three parameters, generally denoted by A 1 , A2 ,
and A3 . These are components of the nongravitational acceleration in a radial direction,
in a transverse direction in the orbital plane, and normal to the orbital plane, respectively.
The magnitude of the nongravitational acceleration close to the Sun is surprisingly large.
At a distance of 1 AU, and for a fiducial value of A 1 of 10−9 AU day−2 , the nongravitational
acceleration is approximately 2 × 10 −5 cm sec−2 , compared with the acceleration due to
the Sun’s gravity of 0.6 cm sec−2 . However, the standard model of NGF drops rapidly
with increasing distance. By the time a comet is 20 AU from the Sun, the nongravitational
acceleration decreases to approximately 3×10 −28 cm sec−2 , an unmeasurable quantity. This
acceleration magnitude is compared with 1.5 × 10 −3 cm sec−2 from the Sun’s gravity and
8.74 × 10−8 cm sec−2 for the Pioneer effect.
The normal component (A3 ) is generally found to be less significant than the others
and its value is often indeterminate. The NGF parameters are empirically determined and
are comet-specific. The JPL Horizons ephemeris system (Giorgini et al., 1996) provides the
values for the radial and transverse accelerations for our candidate comets that are shown in
Table 5.2. Also shown in this table is the change in orbital period due to the NGF, typically
of the order of days, with the perturbed orbital periods generally being more lengthy than
the corresponding Keplerian period.
The orbital periods of comets subjected to the Pioneer effect are systematically shorter
than the corresponding Keplerian period. As also shown in Table 5.2, the typical change
in orbital period due to the Pioneer effect is of the order of days; that is, the same order
of time as the NGF-induced period change. These changes are small and correspond to no
more than a 0.05 percent change in orbital period in both cases.
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Table 5.2 Change in comet orbital period because of Pioneer Effect and NGF.
Comet
1P/Halley
12P/Pons-Brooks
13P/Olbers
23P/Brorsen-Metcalf
38P/Stephan-Oterma
109P/Swift-Tuttle
122P/deVico
Change in Period
Kepler-Pioneera
Kepler-NGFa
4.7
-2.8
4.0
4.7
3.9
14.1
3.9
-6.6
0.3
-0.2
24.8
0.0
4.6
0.0
Radial NGF (A1 )
With PEb
No PEc
1.33
0.27
-0.183
-1.02
11.3
9.45
1.57
2.25
1.93
1.27
3.43
0.0
0.966
0.0
Angular NGF (A2 )
With PEb
No PEc
1.33
1.55
-0.183
-2.71
11.3
6.49
1.57
-5.33
1.93
-0.315
3.43
0.0
0.966
0.0
Notes: Times are given in days, the radial nongravitational parameter (A1 ) is given in units of 10−9 AU day−2 , and
the angular nongravitational parameter (A2 ) is given in units of 10−10 AU day−2 .
a
Positive numbers indicated the Keplerian orbital period is longer by the indicated number of
days.
b
Indicates “With the Pioneer effect.”
c
Indicates “Without the Pioneer effect.”
Although the changes in orbital periods are of the same magnitude for both the Pioneer
effect and the NGF, they are in opposite directions, one serving to increase the period,
the other decreasing it. This, coupled with the physically well-founded justification for the
standard NGF model makes it desirable to investigate whether the potential existence of
a Pioneer effect has any implication for the NGF model. Generally, the magnitude of the
transverse NGF parameter (A2 ) is about one-tenth of the value of the radial parameter
(A1 ) (Marsden et al., 1973). If we constrain the value of A 2 to be of that value, and
allow the radial acceleration to vary parametrically, we can obtain a new value of the NGF
parameter that allows the orbital period to remain at its proper value even when the Pioneer
effect influences the orbits. The resulting values for the NGF parameters are also shown in
Table 5.2. There is no statistically significant difference between the distributions of NGF
parameters with and without the Pioneer effect.
Although NGF are generally not significant far from the sun, there remain a substantial
number of outgassing episodes that have been observed at large distances. These have been
detected in a number of comets, including Halley (Gronkowski and Smela, 1998; West et al.,
1991), Chiron (Elliot et al., 1995; Sekiguchi et al., 1998), and Ikeya-Seki and SchwassmannWachmann 1 (Gronkowski and Smela, 1998). The framework of the standard NGF model
provides a convincing explanation for these episodes (Prialnik and Bar-Nun, 1992; Womack,
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2000). However, calculations of momentum transfer in these distant outbursts suggest that
the eruptions are far less dynamically significant at large distances from the Sun than they
are at smaller distances (Hainaut et al., 1995).
Since the magnitude of changes in cometary orbital periods associated with the Pioneer
effect and NGF are of the same magnitude, changes in NGF parameters can have an effect
close to the sun that can mask changes in period due to the Pioneer effect. Thus, we
must conclude that comets do not represent ideal candidates for investigating the Pioneer
effect: Given the existence of NGF, departures from the ephemeris might not be a sufficient
condition for the Pioneer effect to exist. Nevertheless, while not ideal, comets might provide
a useful vehicle for observational verification of the Pioneer effect. In any event, the high
eccentricities of comet orbits compared with those of planets make it clear that the Pioneer
effect will manifest itself much more clearly in the former case than in the latter.
5.3
Discussion
We have previously discussed the orbits of comets under the influence of the Pioneer effect
and found that the magnitude of the effect is similar to that of the customary NGF used
to calculate ephemerides. This approach is similar to a “kinematic” approach, wherein
we explore features of the motion without regard for its specifics. However, a “dynamic”
assessment, incorporating the current location of comets in their orbits is now of interest in
order to determine whether the Pioneer effect is observationally detectable.
Of our seven comet candidates, nearly all are currently beyond 20 AU and thus subject
to the Pioneer effect as defined in this dissertation. The single exception is just inside 20 AU,
moving towards the Sun, and has recently left the Pioneer effect behind. These bodies have
all been subjected to the Pioneer effect for some time and their current positions are already
perturbed relative to their ephemerides without the Pioneer effect. The resulting angular
differences range from −7.2 to +1.4 seconds of arc, with negative numbers indicating the
Pioneer-perturbed orbit is ahead of the unperturbed motion in terms of true anomaly. The
initial discrepancy is shown in Table 5.3 for each comet, along with other data on the current
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Table 5.3 Observational characteristics of comet candidates on 2005 April 1.
Comet
1P/Halley
12P/Pons-Brooks
13P/Olbers
23P/Brorsen-Metcalf
38P/Stephan-Oterma
109P/Swift-Tuttle
122P/deVico
R
29.5
28.6
28.1
26.5
19.9
25.4
20.7
dR/dt
3.05
-2.83
-2.70
3.67
-2.01
5.77
5.74
mV
28.3
32.8
33.3
28.3
32.4
29.5
n/a
r
5.5
n/a
n/a
n/a
n/a
15.6
n/a
∆a
-1.4
-5.6
-7.2
-0.8
-1.8
+1.4
-0.1
Notes: R is current heliocentric distance in AU, dR/dt is
current radial velocity in km/sec, m V current visual nuclear
magnitude, r is the object’s radius in km, and ∆ is the
heliocentric angular deviation in arc seconds between the
unperturbed and Pioneer-perturbed orbits (see note above
and text).
a
Both the “perturbed” and the “unperturbed” cases are influenced
by NGF. However, care must be taken to remember that the “unperturbed” case is influenced by nominal NGF parameters, while the
NGF felt in the Pioneer case have different values. This is necessary
to constrain the comet’s orbital period to match observation in both
situations. The result is that when the comets pass the 20 AU distance,
they have different heliocentric true anomalies and different radial and
angular velocities. Thus, they do not coincide in space when they cross
20 AU boundary. The numbers reflected above are derived by subtracting out the initial perturbation in each case, thus providing a coincident
heliocentric true anomaly at 20 AU, outbound.
positions for the candidates. Astrometry with current CCD techniques is routinely accurate
to 0.3–0.5 seconds of arc for objects of the nature being considered, so if the Pioneer effect
exists the initial difference values shown in Table 5.3 should be observable.
The nature of the initial differential bears some discussion. The cases under discussion
are when the comet is perturbed by a “classical” NGF and when its motion is compared to
a case perturbed by both a modified NGF and the Pioneer effect. Modification of the NGF
parameters is necessary in the latter case because the orbital period of the comet is known
and must remain unchanged. Thus, since the nominal NGF parameters are developed, at
least in part, by requiring that the orbital period match its observed value, introduction of
the Pioneer effect, which also changes the orbital period, requires a corresponding change in
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NGF parameters in order to leave the orbital period unaltered. For the sake of brevity, in
this section only, we will refer to the nominal NGF case as “unperturbed” and the modified
NGF plus Pioneer effect case as “perturbed.”
Another interesting aspect of this initial discrepancy is that recent observations of
1P/Halley show it to be approximately 1.4 seconds of arc behind its ephemeris position
(Hainaut et al., 2004), while these simplified calculations show it to be about 1.2 seconds
of arc behind at the time of the observations, a remarkably similar quantity. Although
differences on the order of a second of arc potentially can be understood in terms of errors
in the astrometry, the idea that perturbations due to the Pioneer effect contribute is worthy
of additional investigation.
If the current position of the candidate comets is corrected for this initial discrepancy,
and the unperturbed and Pioneer-perturbed comets are made to coincide at the current
epoch, we can investigate the rate at which the angular deviation grows from the present.
Thus, Figure 5.1 shows the heliocentric angular deviation of each comet from a starting
point of 2005 April 1. Recall that the standard NGF parameters shown in Table 5.2 are
generally positive, implying an outward-directed NGF. Thus, the NGF generally acts to
lengthen the orbital period of comets by pushing them out to greater aphelion distances.
As time progresses, the perturbed orbit falls more and more behind one not influenced by
NGF. However, by the time the Pioneer effect comes into play, the NGF are essentially
nonexistent. Once they are felt, the acceleration due to the Pioneer effect serves to lessen
the aphelion distance and increases the angular velocity of the comet. Thus, Figure 5.1
shows angular deviations that grow in the negative direction, leading us to expect the
Pioneer-perturbed comets to get progressively more and more ahead of the unperturbed
positions as time progresses.
Figure 5.1 would seem to indicate that comets would provide fertile ground for determining whether the Pioneer effect really exists, with angular deviations reaching detectable
levels as soon as two to three years from now. However, these angular differences are consistent with current astrometric errors for measurements of this type. More importantly,
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0.0
Angular Deviation (O-C) (arcsec)
-0.2
-0.4
-0.6
1P/Halley
12P/ZPons-Brooks
13P/Olbers
23P/Brorsen-Metcalf
38P/Stephan-Oterma
109P/Swift-Tuttle
122P/deVico
-0.8
-1.0
0
1
2
3
4
5
Elapsed Time (yr)
Figure 5.1 Heliocentric angular deviation between modified NGF-perturbed comet candidate
orbits and those perturbed by the Pioneer effect. The elapsed time is that from 2005 April
1. The angular differences shown are consistent with current astrometric errors.
Table 5.3 also shows the current nuclear magnitude of the comets; the brightest currently
has a magnitude of something over 28, while the faintest is dimmer than magnitude 33.
Unfortunately, it is extremely difficult to detect objects this faint. Recent observations
of 1P/Halley have detected the comet at a distance of over 28 AU and at a visual magnitude
of more than 28 (Hainaut et al., 2004). These observations are part of an ongoing campaign
to monitor 1P/Halley after perihelion, in an effort to define the orbit and allow early preperihelion recovery (Hainaut et al., 1995; West, 1990; West and Jorgensen, 1989; West et
al., 1991). The observations represent the greatest distance and the greatest magnitude
of any cometary observation. The three 8.2 meter Very Large Telescopes at the European
Southern Observatory’s Paranal site were used simultaneously for a total exposure of 32,284
seconds in order to achieve this remarkable feat.
The current magnitudes of the candidate comets, coupled with the difficulties associated
with NGF, outlined previously, force us to conclude that comets do not currently provide
a good opportunity for investigating the Pioneer effect. However, continuing cometary
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observations such as the long term program at the ESO, might provide insight over time,
especially as target comets approach aphelion. However, the idea that the Pioneer effect
and the standard NGF model do not conflict with one another represents an important
conclusion.
Nevertheless, referring back to Table 5.3 provides motivation for an interesting observation about the Swift-Tuttle comet. One of the difficulties associated with determining NGF
for long period comets is simply that they have not been observed for a significant number
of revolutions. There are some exceptions. For example, using ancient Chinese records,
apparitions of 1P/Halley have been convincingly connected from its 1986 appearance back
28 revolutions, over more than 2000 years (Kaing, 1972). The important finding here is that
the comet returned consistently about four days late over this entire span. Additionally,
it had no significant change in magnitude over that interval. This orbital period change
is remarkably close to the magnitude of the change due to the Pioneer effect or to NGF.
If we suppose that the relatively constant magnitude is indicative of a relatively constant
amount of outgassing, we may further imagine that there has been relatively little change
in the NGF as well. 1P/Halley thus demonstrates that the motion of comets can remain
uniform over long intervals.
Swift-Tuttle’s motion is known over long periods also. Although its orbit has been
traced back for more than 2000 years (Yau et al., 1994), its motion is consistent with no
NGF, even though a well-developed coma shows this comet outgasses. Further, there is no
evidence of any change in its absolute magnitude over this entire interval. The comet has a
relatively long period and goes further into the Pioneer effect region than any other of our
comet candidates, thus the effect of the Pioneer effect on its orbital period is the largest
of our candidates: Swift-Tuttle’s period is lessened by almost 25 days in the absence of
other perturbations. It is certainly a provocative speculation that Swift-Tuttle’s outgassing
causes NGF that fortuitously change the orbital period in the right way to make NGF
seem to be nonexistent. Thus, if the Pioneer effect is present, the altered NGF required to
increase the orbital period to its recognized value are completely reasonable and in no way
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unusual. Recognizing the difficulties with a bright comet not having any NGF has resulted
in speculations that Swift-Tuttle is much more massive than comet Halley (Yeomans, 1994).
While possible, the interesting idea that the Pioneer effect could imply that Swift-Tuttle is
a less unusual body is worthy of further investigation.
5.4
Conclusions
This chapter shows that comets, although seemingly providing a potential observational
vehicle for investigating the Pioneer effect, are by no means ideal for this purpose. Although
possessing many of the qualities that made asteroids useful for this purpose, for example,
because they have a large mass and are large and bright enough to observe for possibly
satisfactorily long intervals.
However, comets possess many characteristics that make them a marginal candidate for
assisting us in our quest. Generally, comets are of small size and have a low albedo. This
makes them difficult to observe at distances from the Sun where the Pioneer effect plays a
role. Also problematic is the fact that comets can be extended sources. Locating the center
of light of a comet image can present more problems than nominal asteroids.
In terms of the existence of the Pioneer effect, perhaps the most important thing comets
have to say is that if the Pioneer effect exists, the impact on the motion of comets would
not contradict the physically well-motivated NGF model. Although the NGF model parameters would have to change, the changes would result in model parameter values that
are completely reasonable.
Notwithstanding the poor prospects of comets providing astrometric data showing the
existence or non-existence of the Pioneer effect, they do have some interesting characteristics. Continuing observations such as those undertaken at the ESO (Hainaut et al.,
2004) might provide insight over time into vagaries in their motion, especially as target
comets approach aphelion. ESO observations also provided the provocative result that
comet 1P/Halley is approximately 1.4 seconds of arc behind its expected ephemeris position. The idea that perturbations like the Pioneer effect could contribute to this discrepany
116
is worthy of further investigation.
Another issue that might be worthy of further investigation is the orbit of comet
109P/Swift-Tuttle. Because of its brightness, Swift-Tuttle is assumed to be large. Its
NGF parameters are also zero. The idea of a large comet with substantial outgassing flies
in the face of the physical justification for the NGF. The idea that Swift-Tuttle’s outgassing
causes NGF that fortuitously change the orbital period in the right way to make NGF seem
to be nonexistent is provocative. However, the idea that the Pioneer effect could imply that
Swift-Tuttle is a less unusual body is worthy of further research.
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Chapter 6: Impact of LSST and Pan-STARRS
When published, the material presented in Chapter 3 (Page et al., 2006) investigated the
possibility of using minor planets to assess gravity in the outer Solar System. That paper was
mostly devoted to the use of astrometry of asteroids to test the inverse square law of gravity
in the outer Solar System and the potential use of such observations to ascertain the reality
of the Pioneer effect (a constant, sunward, radial acceleration that has resisted conventional
explanation). This material showed that a sustained, although not intensive, observation
campaign could discern whether the Pioneer effect perturbed the orbits of properly selected
asteroids in no more than 20 years.
The need for more observations runs afoul of the scarcity of available time on instruments
appropriate to this type of astrometry program. However, the advent of facilities such
as Pan-STARRS (Jewitt, 2003) and LSST (Sweeney, 2006) places observation programs
such as that proposed in Chapter 3 in a new light. Pan-STARRS will provide coverage
of the available sky three times during each dark moon period and LSST is intended to
provide complete coverage of the available sky every three nights. The very high observation
cadences planned for these remarkable instruments place the assessment of gravity in the
outer Solar System by astrometric means within reach independent of telescope availability.
We will use the Pioneer effect as an exemplar of a gravitational perturbation, but the
method described here is applicable to any other gap in our knowledge or understanding
of the gravitational field in the outer Solar System. There is not a great deal of literature
on this topic, and most is devoted to looking at outer planets, which are generally very
low eccentricity bodies. The problems associated with using the outer planets to measure
gravity at intermediate scales will be dealt with elsewhere, and this paper’s primary purpose
is to investigate the relationship of observations to orbital parameters such as semimajor
118
axis and eccentricity and the length of the observation arc leading to the determination of
the orbital elements.
It is important to recognize explicitly the question being asked in this analysis. We
are parametrically varying two orbital elements: semimajor axis and eccentricity. In all
cases, these parameters are treated as being initially known exactly. The question we ask
in this chapter is, given a reality containing an orbiting body with given semimajor axis
and eccentricity, what will happen if we compare observations made subject to a Newtonian
model of gravity with ones made that include additional perturbations. Thus, as described
below, we generate simulated observations arising from the same initial conditions (e.g.,
orbital elements) and the two gravity models, and compare the predicted locations in the
sky to see what observationally detectable position differences result in light of observation
and other errors. The converse problem of understanding what variations in orbital elements
lead to distinguishable sky positions presents different challenges and will be dealt with in
a separate paper.
The remainder of this Chapter is divided into four further sections. Section 6.1 describes
the approach we have adopted to understanding the nature of the orbital changes that an
additional gravitational perturbation would cause, and a detailed discussion of the analysis
methodology we have chosen to make our case. Section 6.2 addresses our results in terms of
the relationships between orbital parameters and observation arc length on the observability
of small perturbations. Section 6.3 provides a discussion of our results and Section 6.4
presents conclusions and final remarks.
6.1
Methods and Models
In order to carry out the required analysis, we must recognize the complexity of planetary
motion and orbit determination. Unavoidable observational errors and the motions of many
perturbing bodies all influence our ability to understand and predict orbits. Thus, the
general approach to understanding orbital motion involves determining orbital elements
so as to minimize discrepancies between observations and predictions. It is important to
119
note that orbital elements are not directly observable and rather result only from this fitting
process in conjunction with underlying observations. In the context of this paper, a problem
arises in that adjustment of orbital parameters to minimize that difference can conceal the
differences between two potential gravity models. For example, a change in semimajor
axis might allow motion perturbed by a Pioneer effect-like acceleration to be completely
explained in terms of a non-Pioneer model. In this case, there would be no way to determine
whether or not the perturbation existed because its impact would be concealed beneath the
variation resulting from measurement errors.
Before beginning discussion of our method of analysis, it must be made clear that we
are talking of perturbing forces that are spherically symmetric and directed towards the
sun. Perturbations due to localized mass concentrations (e.g., Planet X) are specifically
excluded (Standish, 1993). However, the latter can be instructive. Some years ago, there
were allegations that the motion of the outer planets contained anomalies that indicated the
presence of a large mass concentration in the outer Solar System. Talmadge et al. (1988)
showed how these presumed anomalies in Uranus’ motion vanish when the orbital elements
are adjusted while using correct values of Neptune’s mass as determined by spacecraft. The
important point here is that it is not enough to merely compare projected positions, rather
one must adjust the orbital elements, and even other parameters defining the problem, to
best fit observational data (Standish, 2005).
A further preliminary point deals with the working definition of the gravitational perturbation that we have adopted in this paper. Since our primary intent here is to continue
the research path first discussed in Chapter 3, we use the same definition of the perturbation utilized there. This involves a constant radial acceleration with a sudden onset at
a heliocentric distance of 20 AU. This choice was motivated by several factors. First, we
wished to be able to investigate the transition between peturbed and unperturbed regions.
Secondly, we wished to preserve continuity with our earlier work. Third, we wished to have
some empirical basis for our perturbation, which is provided by the Pioneer effect. The
model we use for the Pioneer effect is recognized as a simplistic one. However, with no hard
120
evidence to warrant a more complex model, we continue to use the model of the Pioneer
effect utilized and justified earlier, with the extra radial acceleration being given by:
ap =



8.74 × 10−8 cm sec−2


0
R > 20 AU
(6.1)
R ≤ 20 AU
where R is the heliocentric distance. The impact of a cutoff distance is that some of our
objects will be in the perturbation region over their entire orbit while some will spend only
a fraction of their orbit in that region. The sensitivity of our results to the acceleration
value will be addressed later.
In this chapter, we will parametrically vary the values of semimajor axis and eccentricity
of hypothetical test bodies, generate synthetic observations for them with– and without the
perturbing acceleration, and determine the conditions under which the perturbation can be
observed. To span a set of interesting cases, we will vary semimajor axis from 15 to 45 AU
in steps of 5 AU. Each value of semimajor axis will be investigated with eccentricities of
0.01, 0.05, and from 0.1 to 0.9 in steps of 0.1. This set of 77 cases shows a range of variables
that should suffice to determine the interaction of the element values and the observability
of the Pioneer effect. In each case, the elements will be at epoch JD 2000.0 and synthetic
observations will be generated every thirty days until the end of 2100. Observation arc
lengths running from one to 101 years are evaluated. Solar system dynamics are captured
via the JPL DE405 ephemeris (Standish, 1998).
Our general approach is to use OrbFit with a set of elements defined parametrically
to generate an ephemeris separately in both the perturbed and unperturbed cases. The
predicted positions of the test body on the sky represent perfect observations with no uncertainties. Predictions were prepared beginning 2000 Jan 01 12:00:00 UTC (MJD 51544.5)
and extending to 2100 Dec 12 12:00:00 (MJD 88414.5) at an interval of thirty days between
predictions. Positions are predicted with respect to the geocenter.
This cadence is somewhat less than that anticipated for Pan-STARRS and LSST. We
121
chose this value to provide a conservative estimate of the time required to determine whether
gravitational perturbations are detectable as well as to allow for equipment and environmental (i.e., weather) downtime.
OrbFit requires a standard set of elements consisting of mean anomaly, argument of
perihelion, longitude of the ascending node, inclination, eccentricity, mean motion, and
semimajor axis. We seek to avoid close encounters between our test bodies and the outer
planets in order to avoid confusing the issue with large angle trajectory changes. Thus, we
choose to start all our test bodies at their respective perihelia (mean anomaly equal to zero)
at JD 2000.0, in a direction generally opposite that of the outer planets from the sun. Since
the average argument of perihelion for Neptune and Pluto at this epoch is approximately
190 degrees, we choose for our test objects a value of 10 degrees. The longitude of the
ascending node for Neptune and Pluto averages approximately 120 degrees and this value
will be used for our test bodies and we assume an inclination of 5 degrees. The mean motion
is calculated by assuming Keplerian motion.
In order to generate synthetic observations for each ephemeris, we take the predicted
ephemeris positions and add Gaussian observational error. As in Chapter 3, we use an
observational error of 0.3 seconds of arc to perturb the perfect positions given by the initial
ephemeris. This value is that obtained routinely with current CCD techniques for small
bodies like those of interest here. Thus, these randomly altered positions represent the
results of synthetic astrometric observations. Each set of observations can then be used
with OrbFit to determine elements and errors associated with the elements as a function
of the parametric variables and the observed arc length. This process was carried out 1000
times for each case, characterized by semimajor axis, eccentricity, and arc length (e.g.,
number of observations).
The differences in elements obtained with each set of synthetic observations arise because ordinarily an initial orbit is determined from a few observations. This orbit is very
uncertain due to the short observational arc and the unavoidable errors of measurement,
reduction, etc. Further observations are used to improve the initial orbit through a process
122
of differential correction (see, for example, Danby, 1988). This process involves minimizing
an “observed minus calculated” position residual difference. Since generally there are far
more observations than orbital elements to be determined, this minimum must be found
via some compromise method, typically a least squares procedure. This process leads to
unavoidable errors and since the problem is inherently nonlinear, the normally made simplifying assumptions compound the errors. However, since we anticipate dealing with small
angular differences, the linear approximation is appropriate.
OrbFit provides sky position errors for each predicted position. The error estimates are
given as one standard deviation error in a maximum direction with an associated position
angle and a one standard deviation error in an orthogonal direction. These values are
derived from a principal components analysis of the covariances of the observations obtained
by OrbFit and represent the maximal projection on the two dimensional sky plane of the
six dimensional error ellipsoid in the space of orbital elements.
Our analytical procedure involves predicting orbital parameters and thus positions on
the sky as a function of time. We find the angular difference in position between the
situation where the perturbation exists and where there is no perturbation. Associated
with each angular difference is a direction, easily specified in terms of a position angle, and
each position has an associated observational error ellipse. We describe the observational
error as the projection of the error ellipse in the direction of the position difference. This
calculation was described earlier.
Comparison of these positions and their errors in the perturbed and unperturbed cases
will show whether the perturbation is observable, specifically by statistically testing the
hypothesis that the orbits are the same by considering the difference between the predicted
position and comparing this quantity with a confidence interval at an appropriate level of
significance. The positional uncertainty used in this calculation is the square root of the
sum of the squares of the independent errors associated with the two positions.
In order to test the hypothesis that there is a difference in position between the unperturbed and perturbed cases, we use the unequal variance t-test (Ruxton, 2006) as an
123
alternative to the commonly-used Student’s t-test or the Mann-Whitney U test. This test
is chosen primarily as a hedge against the positional uncertainties of the perturbed and unperturbed trajectories being significantly different. Note that for large samples and equal
variances, this test reduces to the Student’s t-test.
6.2
6.2.1
Results
Angular Separation
Our approach compares sets of sky positions for objects with the same nominal orbital
elements subjected to two different gravity models. One of the first issues we must confront
deals with the fact that the angular differences between the nominal case and the perturbed
case are quite small. The magnitude of the angular differences can be estimated by considering that the heliocentric distance in the perturbed case is diminished by an amount equal
to one half the product of the perturbing acceleration and the square of the time under
which the object is subjected to the perturbation. This diminished radius, together with
conservation of angular momentum, implies an angular difference. If we assume a radial
distance of 25 AU and a time interval of 5 years, the resulting angular difference is less than
a quarter of a degree, even for a circular orbit. For noncircular orbits the angular difference
would be even less, as it would be for larger values of the semimajor axis.
Although previous work (Iorio and Giudice, 2006; Tangen, 2007) bears a superficial resemblance to the information presented below, the earlier work is significantly different.
Iorio and Giudice (2006) shows the differences in projected sky positions resulting from the
same orbital elements projected forward in unperturbed and perturbed paths. Our calculations, although starting from known initial conditions, are based upon elements resulting
from fitting sets of noisy observations and thus reflect more clearly the unavoidable errors
in elements. Tangen (2007) shows work that is based on a subspace of the full space of
orbital elements that consists of four elements. Our approach represents a fuller and more
complete fitting approach to finding orbital elements and thus portrays the effect of errors
124
1.0e+01
e = 0.01
e = 0.1
e = 0.3
e = 0.5
e = 0.7
e = 0.9
1.0e+00
1.0e-01
Angular Separation (deg)
1.0e-02
1.0e-03
1.0e-04
1.0e-05
1.0e-06
1.0e-07
1.0e-08
1.0e-09
0
20
40
60
80
100
Time (yr)
Figure 6.1 Angular separation as a function of time from perihelion for an object with a
semimajor axis of 20 AU.
in orbital elements more clearly as well.
Figure 6.1 shows angular separation as a function of time for a representative case, with
a semimajor axis of 20 AU. All the objects portrayed in this graph have their perihelion on
2000 January 1; thus, the abscissa shows elapsed time from perihelion. There are several
interesting aspects of this figure. First, at small times there is a significant amount of
noise with a maximum value of approximately a microdegree (about three milliseconds of
arc). This noise originates in our monte carlo treatment of the variation in predictions
due to different ensembles of observations. Its level is far below the level of observational
detectability and has no effect on our conclusions.
Another interesting aspect of the figure is the increase in separation, whose magnitude
depends slightly upon eccentricity at an elapsed time of approximately 90 years, approximately an orbital period for this object. Objects with large eccentricities move very quickly
near perihelion. Small differences in angular position are thus magnified as one object moves
through perihelion and the other has not yet reached it. After both have passed perihelion,
125
the objects angular separation narrows once again to a small value, although this is beyond the times investigated here. Objects with smaller eccentricities (more circular orbits)
move with more nearly constant angular velocity and do not suffer the differential angular
separation described above.
Finally, it should be noted that although the separate curves appear close together, they
are fairly substantially separated in time at a given angular separation. This time interval
is roughly correlated with the time required for the objects to cross the 20 AU boundary
and enter our defined perturbation zone.
Figure 6.2 shows a similar curve for an object with a semimajor axis of 40 AU. As above,
perihelion for these objects occurs at 2000 Jan 1 and the abscissa shows elapsed time from
perihelion. The noise seen in Figure 6.1 at early times is present here for a diminished length
of time because the action of the assumed perturbation is smooth and we do not need to
overcome as great a statistical weight of observations early in the arc within the 20 AU
boundary. Similarly, the increase in separation seen previously at one orbital period is not
seen here because the period for this object is approximately 250 years, more than the range
of times shown on the abscissa. The time difference between similar angular separations
is actually larger than a cursory inspection of the figure would indicate. The time interval
is correlated with the time required to the objects to cross the 20 AU boundary where we
define our perturbation to be active.
Most interesting in this figure is the two families of curves that appear at early times.
These correspond to cases where the objects are always within the perturbation region (e.g.,
their heliocentric distance is always greater than 20 AU) and when they are only in the
perturbation region sometimes (e.g., they move across the 20 AU boundary). The families
both exhibit an inverse correlation between the rise of the curves and the eccentricity of the
associated orbit. However, the orbits that are always in the perturbation region begin their
rise earlier that the orbits that move from within the perturbation boundary to outside 20
AU. These orbits also exhibit an inverse correlation between the rise of the curves and the
eccentricity, but the rise begins at greater times than for the other case.
126
1.0e+01
e = 0.01
e = 0.1
e = 0.3
e = 0.5
e = 0.7
e = 0.9
1.0e+00
1.0e-01
Angular Separation (deg)
1.0e-02
1.0e-03
1.0e-04
1.0e-05
1.0e-06
1.0e-07
1.0e-08
1.0e-09
0
20
40
60
80
100
Time (yr)
Figure 6.2 Angular separation as a function of time from perihelion for an object with a
semimajor axis of 40 AU.
The origin of these families is related to the method by which orbital elements are
developed. Since elements are the result of a least squares fit to observational data, objects
which begin their path inside the region where the perturbation takes effect will have their
initial orbital elements produced on the basis of a non-perturbed gravitational field. This
is the classical case. However, when these objects first enter the perturbed region, the
slowly accruing new observations that reflect the existence of the perturbation will have
to overcome the prior observations before they can alter the value of orbital elements and
the associated position on the sky. Thus, in this situation, and given that we begin all
our objects at perihelion, we would expect that a longer interval of observation would be
required before a statistically significant angular position difference would be observed.
On the other hand, objects whose paths are always in the perturbation region do not
have a statistical weight of unperturbed observations to overcome. Their elements are
derived subject to the perturbation, and more quickly can show a statistically significant
angular position difference.
127
It is in this part of our analysis that variation in the magnitude of our assumed gravitational perturbation can be introduced. Since the perturbation is very small, we are
operating in a linear regime of the governing equations. The angular differences observed
between the perturbed and unperturbed cases are linear in the product of the perturbing
acceleration and the time. Thus, the time at which a given angular separation occurs can
be scaled inversely with the magnitude of the perturbing acceleration.
6.2.2
Probability of a Significant Position Difference
The analyses presented here result in a fairly large array of numbers. How can they be
summarized and assessed in some compact fashion so that we can make sense of the results?
Our approach to answering this question is to present our results in terms of the probability
that an angular difference between the perturbed and unperturbed cases is statistically
significant as a function of observation arc length. Then, for whatever level of significance
is appropriate, one can figuratively read off the length of observation arc required.
Figure 6.3 shows probability of a significant angular difference as a function of time since
perihelion for the case with a semimajor axis of 20 AU. This case corresponds to that shown
in Figure 6.1. Again, all objects on this graph have their perihelia at 2000 Jan 1, which is
the origin of the time axis. Once again, we note the noise at the beginning of the abscissa
axis; however, the level of significance to which this noise rises is never more than about 20
percent, a level of significance that would never, in practice, be quoted in a hypothesis test.
Similarly, Figure 6.4 shows the probability of a significant angular difference as a function
of elapsed time for the case with a semimajor axis of 40 AU. This case corresponds to Figure
6.2. Again, the initial noise is of shorter duration in this figure; however, the two families
seen in Figure 6.2 remain.
In both Figures 6.3 and 6.4, the inverse correlation between the time required to attain
a given level of significance and the orbital eccentricity is noted.
In order to make sense of the numbers associated with these figures and our other cases,
we choose to fit the probability of a significant difference in position to time from perihelion
128
Probability of a Significant Angular Difference
1.0
0.8
0.6
0.4
0.2
e = 0.01
e = 0.1
e = 0.3
e = 0.5
e = 0.7
e = 0.9
0.0
0
5
10
15
20
25
30
35
40
Time (yr)
Figure 6.3 Probability of a statistically significant angular difference as a function of time
from perihelion for an object with a semimajor axis of 20 AU.
Probability of a Significant Angular Difference
1.0
0.8
0.6
0.4
0.2
e = 0.01
e = 0.1
e = 0.3
e = 0.5
e = 0.7
e = 0.9
0.0
0
5
10
15
20
Time (yr)
25
30
35
40
Figure 6.4 Probability of a statistically significant angular difference as a function of time
from perihelion for an object with a semimajor axis of 40 AU.
129
Table 6.1 The mean (in years), standard deviation (in years), and rms residual (in arcsec)
for each case described by a semimajor axis and an eccentricity.
e
0.01
0.05
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
Parameter
Mean
Std. Deviation
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
Mean
Std. Dev.
rms Residual
15
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
23.88/2.29
0.71/0.71
0.11/0.02
19.85/2.02
0.77/0.78
0.07/0.05
17.78/2.42
0.68/0.68
0.07/0.03
15.98/2.56
0.88/0.87
0.07/0.04
14.37/2.66
1.75/1.57
0.07/0.04
13.82/3.53
1.64/1.62
0.06/0.02
20
28.68/6.34
1.34/1.34
0.10/0.07
24.06/1.78
1.03/0.99
0.09/0.01
23.05/2.12
1.02/1.00
0.09/0.03
21.23/1.86
1.51/1.05
0.07/0.02
19.39/1.66
1.96/1.06
0.08/0.01
18.19/1.94
0.12/0.36
0.09/0.04
17.39/2.15
0.57/0.57
0.08/0.00
15.79/1.97
0.93/0.95
0.06/0.03
14.11/1.81
1.87/1.64
0.06/0.04
13.58/2.61
1.15/1.13
0.05/0.02
12.65/3.14
1.51/1.39
0.06/0.04
Semimajor Axis (AU)
25
30
35
7.56
8.52
9.44
2.02
2.54
3.02
0.05
0.06
0.04
7.35
8.22
9.47
1.44
2.18
2.14
0.04
0.04
0.04
6.84
7.59
8.57
2.03
2.50
2.30
0.03
0.05
0.03
6.33
7.29
8.14
1.72
2.31
2.11
0.02
0.05
0.05
14.46/2.21
6.37
7.04
1.20/1.11
2.56
2.14
0.05/0.02
0.04
0.02
16.12/2.18
12.01/2.48
6.54
0.96/0.95
0.85/0.85
1.92
0.06/0.02
0.05/0.02
0.03
16.13/2.19
14.34/2.29
11.71/2.37
1.00/0.99
2.09/0.80
0.83/0.82
0.05/0.03
0.08/0.02
0.05/0.02
15.57/2.34
14.76/2.14
13.75/2.06
0.62/0.62
1.08/1.06
1.34/1.26
0.06/0.03
0.05/0.02
0.06/0.03
14.11/1.97
14.11/2.12
14.08/2.27
1.14/1.13
0.91/0.85
0.90/0.90
0.05/0.03
0.06/0.00
0.04/0.02
13.33/2.52
13.22/2.40
13.22/2.34
0.59/0.59
0.88/0.88
1.07/1.05
0.06/0.02
0.05/0.02
0.06/0.03
12.63/3.29
12.01/2.73
12.15/2.82
0.88/0.88
1.38/1.34
1.16/1.13
0.05/0.05
0.03/0.01
0.05/0.02
40
10.90
4.36
0.05
10.03
2.86
0.03
9.42
2.91
0.03
8.52
2.02
0.03
8.34
1.78
0.06
7.08
2.02
0.04
6.23
1.78
0.03
12.58/2.35
1.05/1.03
0.04/0.01
13.42/1.97
1.42/1.26
0.05/0.02
13.48/2.54
0.67/0.67
0.06/0.03
12.03/2.59
1.19/1.17
0.04/0.03
45
10.91
3.27
0.04
9.97
1.70
0.04
10.27
3.82
0.04
9.62
3.55
0.04
8.45
2.65
0.04
8.12
1.78
0.04
6.61
2.00
0.02
9.94/2.21
1.20/1.16
0.05/0.01
13.24/2.27
1.02/0.93
0.05/0.02
13.23/2.24
0.91/0.89
0.03/0.01
11.96/2.36
1.21/1.18
0.04/0.02
Notes: Bolded cells are those for which the orbit is always in the perturbed region, with heliocentric distance greater than 20
AU through the entire orbit. The unbolded cells that describe objects that move from within 20 AU to outside that distance.
The entries for these objects also show the mean and standard deviation in years of a fit to a model in terms of time in years
from crossing the 20 AU boundary. These are shown to the right of the slash mark. Cells marked with a dash indicate objects
that never move into the perturbation region.
to some reasonable functional form. We choose to fit the data to the standard error function;
thus, we fit each curve of probability versus time to a two parameter family of curves. Table
6.1 shows the results of this process, along with the rms residual associated with each fit.
Much of the residual is ascribable to the stochastic noise discussed above; the fits achieved
by this error model are generally quite satisfactory. However, as a general proposition,
we may say that the fits for the cases where the object moves across the perturbation
boundary is a factor of two or more better for the model based on time from passing the
20 AU boundary, at least as measured by the rms residual of the individual fits.
The result of this process is a somewhat smoothed set of parameters that describe the
length of time required before observations will succeed in showing a statistically significantly different position on the sky if the additional gravitational perturbation actually acts
130
on the object.
The utility of this approach of fitting to an error function is that we can formulate a
confidence limit at any level we choose. Picking 95 percent, the average shown in Table 6.1
plus 1.965 standard deviations gives that confidence limit (2-sided test). Thus, after that
number of years, the objects subject to the peturbation and those not perturbed will show
a significant difference in sky position at the 95 percent significance level.
A corollary to this approach is that we can plot the probability of a significant positional
difference as a function of time. Representative samples of this type of data are shown in
Figure 6.5. In this figure, the dashed lines show the 95 percent significance level and the
associated time. The dotted lines, read on the right hand axis, show the orbital anomaly as
a function of time. In Panel A, the first part of the line shows the true anomaly, measured
from perihelion, while te disjoint second part of the line shows the anomaly measured from
the angle at which the object passes the 20 AU. Since the object portrayed in Panel B never
comes within 20 AU, the dotted line shows only true anomaly, measured from perihelion.
Panel A, on the top, shows a typical case for an object that moves from within the 20
AU boundary to a point outside that distance, while the bottom panel (Panel B) shows
an object that is always outside the 20 AU boundary. Also shown in these figures is the
anomaly as a function of time. In Panel A, corresponding to an object moving from within
to outside 20 AU, we show one curve showing true anomaly from perihelion out to the 20
AU boundary and another outside 20 AU showing the anomaly measured from the true
anomaly at that distance. Panel B shows only the true anomaly. A general feature of these
figures is that an arc of approximately 10-40 degrees in the perturbed region (e.g., outside
20 AU) is necessary to detect a positional difference at the 95 percent significance level.
6.2.3
Quality of Orbital Fits
Thus far, we have discussed the degree to which orbits fit to observations subject to normal
gravity differ in predicted sky position from those fit to perturbed observations, and when
131
1.0
180
120
0.6
90
0.4
Anomaly (deg)
Probability of a Significant Angular Difference
150
0.8
60
0.2
30
Panel A
Probability
95% Significance Level
True Anomaly
0.0
0
0
20
40
60
80
100
Time From Perihelion (yr)
1.0
180
120
0.6
90
0.4
Anomaly (deg)
Probability of a Significant Angular Difference
150
0.8
60
0.2
30
Panel B
Probability
95% Significance Level
True Anomaly
0.0
0
0
20
40
60
Time From Perihelion (yr)
80
100
Figure 6.5 Probability of a significant sky position difference between the perturbed and
the unperturbed case for selected objects as a function of time from perihelion. The object
shown on the top (Panel A) is representative of one that sometimes passes inside 20 AU
and sometimes is outside that distance (semimajor axis = 25 AU, eccentricity = 0.3) while
the bottom panel (Panel B) shows a representative object that is always outside 20 AU
(semimajor axis = 30 AU, eccentricity = 0.3).
132
that difference becomes statistically significant. Another measure of the quality of the orbital fits is found in the total rms deviation between the observations and the corresponding
fits. This value provides a standard benchmark for fit quality.
There are four cases to consider. We have two sets of observations, one resulting from
the existence of the gravitational perturbation and one not. Correspondingly, we have two
possible models, one containing purely Newtonian gravity and one including the small, assumed perturbation. We now consider each mix of these two pairs of factors. Thus, we have
one situation where observations generated from an unperturbed orbit are compared with
the fit obtained from the unperturbed model and the corresponding “matched set” consisting of observations generated from the perturbed ephemeris compared with the perturbed
model. The “cross terms” form the other pair of results. Thus, observations generated
from unperturbed motion compared with a perturbed model and observations developed
from perturbed motion compared to unperturbed model form “mismatches” that we now
investigate to determine the quality of fit that can be obtained.
Figure 6.6 shows representative sets of these results. Panel A, on the top, shows a typical
case for an object that moves from outside the perturbation region (e.g., from within 20
AU) to within the perturbed region. Specifically, this object has a semimajor axis of 25 AU
and an eccentricity of 0.3. The interesting thing about this graph is that for the “matched”
sets of data; that is, when the gravitational model matches the origin of the synthetic
observations there is a uniformly good fit with an rms residual of about 0.3 arc seconds.
This level of error matches quite nicely the initial astrometric error that we assumed at the
beginning of the analysis.
Similarly, the “mismatched” cases start to show a declining quality of fit that is manifested through a systematic increase in the rms value, which appears roughly quadratic in
time. Thus, attempting to fit the wrong gravitational model with eventually be manifested
through a decline in the quality of the orbital fit.
The bottom panel (Panel B) of Figure 6.6 shows similar data for the case of an object
that has a semimajor axis of 30 AU and an eccentricity of 0.3 and is therefore always in
133
1.0
Panel A
rms residual (arcsec)
0.8
0.6
0.4
0.2
Ephermeris without/Gravity without
Ephermeris without/Gravity with
Ephermeris with/Gravity without
Ephermeris with/Gravity with
0.0
0
20
40
60
80
100
Arc Length (yr)
1.0
Panel B
rms residual (arcsec)
0.8
0.6
0.4
0.2
Ephermeris without/Gravity without
Ephermeris without/Gravity with
Ephermeris with/Gravity without
Ephermeris with/Gravity with
0.0
0
20
40
60
80
100
Arc Length (yr)
Figure 6.6 Rms residual for various combinations of observations and gravity model as the
observation arc lengthens. Panel A shows the case for an object with a semimajor axis of
25 AU and an eccentricity of 0.3. Panel B shows the case of an object that is always in
the perturbation region beyond 20 AU. Its semimajor axis is 30 AU and its eccentricity is
0.3. Note: in the legend, “ephemeris with/without” means the synthetic observations were
generated with/without a Pioneer perturbation; “gravity with/without” means the object’s
motion is calculated with/without the additional perturbing force.
134
the assumed perturbation region. The general characteristics outlined above are found here
as well, except for a slightly slower rate of decrease in the quality of the orbital fit as time
progresses for the “mismatched” cases. The overall quality of the fit for the “matched”
cases is slightly better as well, This is probably due to this case being in an area where the
gravitational force is smoothly varying. Thus, the orbital fit does not need to accommodate
the discontinuity in acceleration present at 20 AU due to our assumed perturbation model.
The result is that while acceptable orbital fits might be obtained with “matched” observations and models, the “mismatched” cases provide inferior fits. However, it should be
noted that a sophisticated analysis of astrometric errors might be necessary to determine
that the achieved fit quality is actually inferior. All “mismatched” cases shown in Figure
6.6 still have sub-arcsecond rms residuals even after an observation arc a century long.
This buttresses the observation made at the beginning of the paper that an adjustment
of orbital parameters can conceal the existence of small perturbations; the quality of the fit
with and without the perturbation is almost indistinguishable on the basis of the degree to
which observations can match an orbital model to which they are fit for an arc of 20 years
length or more.
Figure 6.6 might be compared with Figure 3.4 in Chapter 3 and one might ask why
the rms values here are monotonically increasing while the referenced curves decrease to a
minimum before increasing and why the rate of increase in rms errors here seem so much
smaller than found previously for “mismatched” cases. There are two answers to each
of these questions. First, the earlier work dealt with an object whose orbit was already
known and which possessed a number of existing observations. Thus, new observations had
to overcome the statistical weight of the pre-existing observations and the corresponding
observation arcs. Since they were relatively few and at an uneven cadence, the rms fit was
at first improved by new observations. In the current case, the observations from the start
were evenly spaced and at a high cadence. Thus, the initial fit quality could hardly be
improved as the arc length increased.
135
Secondly, the observation cadence investigated here is much higher than that in the earlier work. Thus, the statistical weight of a relatively large number of observations needed
to be overcome before the fit started to degrade significantly. Even then, the rate of degradation was slower than that seen in the earlier work.
6.3
6.3.1
Discussion
Heuristic for Detection Times
The data shown in Table 6.1 represents information that can be used to obtain an heuristic
for determining our ability to observe manifestations of gravitational perturbations. By this
term we mean some rule, not necessarily physically based, that we can use to easily assess
our ability to observe such differences. Our approach to obtaining such an heuristic is to
perform a least squares fit of some simple model to a confidence limit on time to obtain
observable sky position differences.
In the analysis that follows, we will make use of a 95 percent confidence limit as a level of
significance that, practically speaking, could be construed as providing significant evidence
that a real effect is observed. Subject to the assumptions of normality discussed above, this
confidence limit is 1.965 standard deviations above the mean, assuming a two-sided test
(e.g., testing the hypothesis that the positions are different).
After some consideration, the functional form we chose for our heuristic is given by
T95 =
A + Be + Ce2
,
an
(6.2)
where T95 is the length of time required to observe a 95 percent significant difference in
sky position, and is given in years from perihelion. A, B, C, and n are parameters to be
determined.
Again, we note that this form has no physical meaning; we are only trying to arrive at
a rule for predicting how long an observation arc is needed to distinguish between objects
136
Table 6.2 Heuristic parameter values for time to a statistically significant angular separation.
Casea
“Outside 20 AU”
“Crossing 20 AU” (Case I)b
“Crossing 20 AU” (Case II)c
A
1.2366
6.0705
55.4970
B
-0.9694
-4.7584
-48.7321
C
-0.0548
7.2471
27.8215
n
-0.6997
0.1163
0.2416
a
The “Outside 20 AU” case refers to objects that are always in the perturbation
region beyond 20 AU; the “Crossing 20 AU” case refers to objects that move across
the 20 AU boundary.
b
“Case I” measures time from perihelion.
c
“Case II” measures time from when each orbit crosses the 20 AU boundary.
of a given semimajor axis and eccentricity that are subjected to Newtonian gravity and to
this force plus a small, constant, radial perturbation.
If we separately fit the 95 percent, two-sided confidence limits obtained from the data
in Table 6.1 for objects that are always outside 20 AU and for the two cases associated with
those that sometimes are within that distance, we obtain the parameter values shown in
Table 6.2.
All three models provide reasonable fits for their regions of applicability. If we calculate a
coefficient of determination for the predicted (e.g., fit) values and the corresponding original
values, we obtain R2 = 0.80 for the always outside 20 AU case. For the cases where the
objects move across the perturbation boundary at 20 AU, one model performs much better
than the other. The preferred model is the one where time is measured from perihelion
(R2 = 0.84), compared with the model where time is measured from the time at which
each object crosses the 20 AU boundary (R 2 = 0.54). In both preferred cases, the residuals
appear to be roughly normally distributed about the original values and there are no obvious
trends in residuals that would indicate that our heuristic model is systematically biased in
one direction or another.
Thus, the results of this fitting process provide quite good predictions of the values
obtained from detailed calculations. They therefore provide a smoothed, unified way to
evaluate the variations in the time required to observe a significant positional difference in
137
Time From Perihelion to 95% Significant Position Difference
20
15
10
5
a=45 AU
a=40 AU
a=35 AU
a=30 AU
a = 25 AU
0
0
0.2
0.4
0.6
0.8
1
Eccentricity
Figure 6.7 Time (in years) from perihelion that gives a 95 percent probability of a significant
difference in sky position between a perturbed case and the unperturbed case. This graph
relates to objects that never come within 20 AU of the Sun.
the sky.
Figure 6.7 shows these smoothed results for the case where the objects in question are
always outside 20 AU. The time graphed is that from perihelion to the time that gives a
sky position difference at the 95 percent significance level. Note that the time required
with the assumed observation cadence ranges from somewhat less than ten to about 17
years, depending upon eccentricity and semimajor axis. Also note that the curves do not
terminate at their right ends. The maximum value plotted is the highest investigated that
results in the object always being in the perturbation region.
Similarly, the top panel of Figure 6.8 shows results for the case where the objects spend
some time within 20 AU and some time outside that radius. In this case, the time required to
detect a position difference at the 95 percent significance level ranges from somewhat greater
than perhaps 13 years to nearly thirty, depending upon semimajor axis and eccentricity.
The left ends of these curves do not actually terminate; rather, at smaller eccentricities,
the orbits remain outside 20 AU over their entire orbit. The plotted times are given from
138
perihelion; however, the time it takes the object to reach the 20 AU boundary can be a
significant fraction of this interval. The bottom panel of Figure 6.8 shows the same data as
the top panel, but with time measured from the time at which a given orbit crosses the 20
AU boundary.
This graph requires some explanation. In both cases, the curves are well-behaved and
essentially parallel. Note that the length of the curve corresponding to a semimajor axis
of 20 AU is the greatest. This is due to its being in the perturbed region for any value
of eccentricity. The other curves terminate at the left because smaller eccentricity values
than those corresponding to their left-handed ends will result either in their never moving
beyond 20 AU or always being outside that distance.
In both cases, the time required to obtain a statistically significant angular separation
is inversely related to semimajor axis. This is due, ceteris paribus, to the greater time spent
in the perturbation region for higher semimajor axes. However, in the case where time
is measured from perihelion, the time required to achieve a significant angular separation
generally declines with increasing eccentricity while in the case where time is measured from
the time at which each orbit crosses the 20 AU perturbation boundary, they increase. These
differences are due to geometric effects.
The greater the eccentricity, the greater the distance that must be travelled to get to
a given distance. However, the greater the eccentricity, the greater the speed at perihelion
leading to a shorter time to go a given distance. In the case where time is measured from
perihelion, the higher speed associated with a greater eccentricity more than compensates
for the greater distance to be travelled to reach the perturbation region, leading to an overall
decline in time to reach a significant position difference.
On the other hand, for the case where time is measured from crossing the 20 AU boundary, a greater eccentricity implies more foreshortening of the orbital path as seen from the
Earth. This leads to a diminution of angular motion and leads to increasing times being
required to reach a significant position difference.
139
Time From Perihelion to 95% Significant Position Difference
30
25
20
15
10
a = 15 AU
a=20 AU
a=25 AU
a=30 AU
a=35 AU
a=40 AU
a=45 AU
5
Panel A
0
0
0.2
0.4
0.6
0.8
1
0.6
0.8
1
Eccentricity
Time From Crossing 20 AU to 95% Significant Position Difference
10
a = 15 AU
a = 20 AU
a = 25 AU
a = 30 AU
a = 35 AU
a = 40 AU
a = 45 AU
8
6
4
2
Panel B
0
0
0.2
0.4
Eccentricity
Figure 6.8 This figure relates to objects that sometimes come within 20 AU of the sun. The
top panel shows the time (in years) from perihelion that gives a 95 percent probability of
a significant difference in sky position between a perturbed and an unperturbed case. The
bottom panel shows similar data but the time is measured from the time each object crosses
20 AU.
140
6.3.2
Physical Basis for Heuristic
These results can be presented in more physical terms by considering the angle through
which the objects move rather than the elapsed time of their motion. This alternative
geometric view helps to separate out the non-linear combinations of semimajor axis and
eccentricity that complicate interpretation of the last two figures.
Figure 6.9 shows the true anomaly at which an observable position difference between
the perturbed and unperturbed cases is found at the 95 percent significance level. As with
Figure 6.7, with which it can be compared, Figure 6.9 shows results for the case where the
objects are always outside 20 AU. The angle graphed is the true anomaly, measured from
perihelion to the position at which positional differences can be observed at the 95 percent
significance level. As alluded to earlier, this arc varies from somewhat more than 20 degrees
up to nearly 45 degrees, depending upon semimajor axis and eccentricity. Also note that,
again, the curves do not terminate at their right ends; higher values of eccentricity will not
always be within the perturbation region (e.g., at a distance of 20 AU or more).
The top panel of Figure 6.10 shows similar data for cases where the objects move between
the unperturbed and the perturbed regionand thus the objects are only in the perturbation
region part of the time. This graph shows analogous information to that shown in Figure
6.8A, but shows the true anomaly to the point on the orbit where a positional difference
can be observed at a 95 percent significance level plotted against eccentricity. The arcs
required to obtain significant position differences are very large, corresponding to the large
time intervals shown in Figure 6.8A; however, much of those arcs are occupied in moving
outwards through the unperturbed region within 20 AU.
The bottom panel in Figure 6.10 shows information analogous to that shown in Figure
6.8B, but here the arc required to observe a position difference at the 95 percent significance
level is measured from the point at which the object moves into the perturbation region.
The comments made earlier about Figure 6.8B are relevant to this figure as well.
The important point to note, however, is that it requires an observation arc ranging
from about seven degrees to 20 or more degrees beyond the entry into the perturbation
141
True Anomaly at a Time to 95% Significant Position Difference
50
40
30
20
10
a = 25 AU
a = 30 AU
a = 35 AU
a = 40 AU
a = 45 AU
0
0
0.2
0.4
0.6
0.8
1
Eccentricity
Figure 6.9 True anomaly (e.g., the angle from perihelion to the current object position along
its orbit) at which an observable position difference between the perturbed and unperturbed
cases is found at the 95 percent significance level. This graph relates to objects that never
come within 20 AU of the sun.
region to obtain unambiguous evidence (e.g., at the 95 percent significance level) of positional difference between the perturbed orbit and the unperturbed one. Recalling that the
observations of these objects begin at perihelion, this wide disparity in arcs is largely due to
the statistical weight of observations before the object enters the perturbation region. The
weight of these observations must be overcome by observations in the perturbation region
before a positional difference can be seen in the adjusted orbits.
6.3.3
What Would An Observer See?
Notwithstanding the statistical arguments made above, are there any traits that might
be seen by an observer that might lead him to think the motion of an object was not in
concordance with his model (e.g., Keplerian motion in an inverse square force)? Previously
we saw that the quality of the fit (measured by rms error), although related to the validity
of the model, did not provide unambiguous evidence one way or another. Another possible
142
True Anomaly Providing a 95% Significant Position Difference
180
160
140
120
100
80
60
a = 15 AU
a = 20 AU
a = 25 AU
a = 30 AU
a = 35 AU
a = 40 AU
a = 45 AU
40
20
Panel A
0
0
0.2
0.4
0.6
0.8
1
Eccentricity
Anomaly Past 20 AU Providing a 95% Significant Position Difference
35
a = 45 AU
a = 40 AU
a = 35 AU
a = 30 AU
a = 25 AU
a = 20 AU
a = 15 AU
30
25
20
15
10
5
Panel B
0
0
0.2
0.4
0.6
0.8
1
Eccentricity
Figure 6.10 This figure relates to objects that sometimes come within 20 AU of the sun.
The top panel shows the true anomaly (e.g., the angle from perihelion to the current object
position along its orbit) that result in observable positional differences at the 95 percent
significance level. The bottom panel shows similar data but with the anomaly measured
from the anomaly at which the object moves into the perturbation region.
143
answer to this question lies in the analysis of model residuals.
The least squares procedure underlying orbital parameter fitting assumes that the errors between the model and the data are normally distributed; difficulties can arise if this
assumption is violated by the data. In particular, any systematic structure to the residuals
of a model fit strongly suggests a biased model. In a series of observations, would it be
possible for the observer to unambiguously see such signs of bias? If so, this might provide
a valuable early warning of problems with his model, his data, or both.
Once again we have four cases, consisting of all combinations of observations made with–
and without a small, constant, radial gravitational perturbation in addition to Newtonian
gravity, fit to a purely Keplerian model or one containing a perturbation. As above, we can
categorize these combinations in “matching” cases and “mismatches.”
“Matched” Case
We have generated a series of synthetic observations for arcs of length eleven, 21, and 31
years, with the same thirty day observation cadence used above. This was done separately
for the perturbed and unperturbed cases, and each was separately fit to a perturbed and
unperturbed model. The residuals in each case were then inspected.
A convenient way to look for bias or trends in data like this is through graphing normal
points, which show a moving average of the stochastic data and the corresponding standard
deviation of the data over the same period. Normal points can make trends and biases more
apparent than they would be by inspecting the raw data alone.
Figure 6.11 shows such normal points for the case of an object with a semimajor axis of
25 AU and an eccentricity of 0.3. The observations are generated using unperturbed gravity
and the fitting model does not include a perturbation; thus, this is a “matched” situation
and is directly comparable to Figure 6.5A. The averaging window is one year long. Thus,
for each calendar year, the residuals of all observations made during that year are averaged
and plotted with standard deviation error bars. This type of procedure at least roughly
corresponds to averaging residuals occurring during each opposition. The topmost graph,
144
Panel A, shows the residual structure for the eleven year arc, Panel B shows the 21 year
arc, and Panel C shows the 31 year arc. The residuals shown are in right ascension, but
those for declination show a similar character.
The important point to note in this figure is that there is no discernable structure to
the residuals. Although there is a significant degree of variation within each year, the
average values are small and we certainly would not expect any of the average residuals
to be significantly different from zero. The other “matched” situation, with observations
generated with the perturbation and the fitting model including the perturbation, appears
similar.
“Unmatched” Case
Figure 6.12 shows similar data for a “mismatched” situation with observations generated
without the perturbation and the model contains the perturbation. Again, the averaging
window is one year. As above, the top panel pertains to the eleven year arc, the middle
panel to the 21 year arc, and the bottom panel to the 31 year arc. Right ascension residuals
are shown, but declination residuals are similar.
Once again, there is no discernable structure to the residuals after eleven years of observations and one could not expect the average residual to be different from zero. Although
the same statements can be made about Panel B, and one could not claim the average
residuals are significantly different from zero, there seems to be an oscillatory character to
the residuals. This trend continues in Panel C, but with the longer run of data showing
biases, it becomes clear that there might be a “mismatch” between observations and the
model. The other “mismatched” case, with observations generated with a perturbation and
the model not containing the perturbation provides similar results.
Although there is some indication that there is a trend, one cannot easily make the
argument that any of the average residuals is different from zero. Again, this confirms the
observation made earlier that a change in orbital elements can conceal the effects of a small
perturbation.
145
1.0
Annual Average RA Residual (arcsec)
Panel A
0.5
0.0
-0.5
-1.0
0
5
10
15
20
Time From Perihelion (yr)
25
30
35
1.0
Annual Average RA Residual (arcsec)
Panel B
0.5
0.0
-0.5
-1.0
0
5
10
15
20
Time From Perihelion (yr)
25
30
35
1.0
Annual Average RA Residual (arcsec)
Panel C
0.5
0.0
-0.5
-1.0
0
5
10
15
20
Time From Perihelion (yr)
25
30
35
Figure 6.11 Normal points (see text) in right ascension for an object with a semimajor axis
of 25 AU and an eccentricity of 0.3 in a “matching” case.
146
1.0
Annual Average RA Residual (arcsec)
Panel A
0.5
0.0
-0.5
-1.0
0
5
10
15
20
25
30
35
Time From Perihelion (yr)
1.0
Annual Average RA Residual (arcsec)
Panel B
0.5
0.0
-0.5
-1.0
0
5
10
15
20
Time From Perihelion (yr)
25
30
35
1.0
Annual Average RA Residual (arcsec)
Panel C
0.5
0.0
-0.5
-1.0
0
5
10
15
20
Time From Perihelion (yr)
25
30
35
Figure 6.12 This figure shows normal points in right ascension for an object with the same
semimajor axis (25 AU) and eccentricity (0.3) as in Figure 6.11, but it is a “mismatched”
case.
147
Caveats on Residual Analysis
One might therefore expect that trends or biases in residuals could provide an astute observer with information indicating that there might be a “mismatch” between his model and
his observations. However, there are two important aspects of this analysis that should be
noted. First, Figures 6.11 and 6.12 both illustrate the results of a particular set of synthetic
observations. Since the observation errors are stochastic, another realization of this data
would perhaps provide a different view of potential trends and biases. Secondly, since the
data are stochastic, it is not necessarily easy to spot trends in the residuals and one would
likely be forced back into statistical arguments to determine whether discrepancies between
observations and the model are significant.
6.4
Conclusions
Before making final comments, it is desirable to reiterate the question being asked in this
analysis. In this paper, we are parametrically varying semimajor axis and eccentricity, with
these parameters treated as if their initial values are known exactly. Hence, the question
we ask in this paper is, given a known semimajor axis and eccentricity, what will happen
if we compare observations made subject to a Newtonian model of gravity with ones made
that include a small, radial, constant perturbation.
The primary purpose of this paper has been to explore the impact of high observation
cadences on our ability to use astrometry to investigate gravity in the outer Solar System.
We have seen that moderately high cadences (e.g., one observation per month) provide
a way to distinguish between Newtonian gravity and gravity perturbed by an additional
small, radial, constant acceleration. Observations beginning when the object is in the
perturbation region can detect a positional difference at the 95 percent significance level
in approximately five to eight years, depending upon orbit characteristics. Similarly, for
objects that transition between the perturbed and unperturbed regions, an observation
period of approximately ten to 30 years is required.
148
However, this lengthy period is dependent upon our assumption that the observations
began at each object’s perihelion. This implies quite a long observation arc before the
objects even enter the perturbation region. If we subtract out that initial arc inside the
20 AU boundary, the observation interval required to detect positional differences in these
transitional objects is approximately one to eight years.
The origin of this discrepancy points out the weakest part of our analysis of transitional
objects that move from within the 20 AU boundary to outside it and into the perturbation
region: we assume the observations begin at perihelion. Thus, there is a large body of
observational data inside the 20 AU boundary before objects even begin to suffer any
perturbations. The orbital element solution for such a case is heavily weighted towards the
unperturbed solution. Only when a sufficient number of perturbed observations are made
are they able to overcome the statistical weight of the unperturbed observations and begin
to change the orbit elements. This problem would be mitigated by considering observational
arcs beginning at different positions along the orbit; however, that was beyond the scope of
this paper.
As we pointed out previously, our assumed observation cadence of one observation every
thirty days and an assumed astrometric accuracy of 0.3 seconds of arc are conservative.
Pan-STARRS is expected to initially achieve a one standard deviation positional error of
200 mas, which will decrease to about 50 mas as the astrometric grid self-improves, and a
cadence of weekly or faster (Jewitt, 2003). The science goal of LSST is to obtain astrometric
accuracies of 10 mas or better at a rate of complete sky coverage every few nights (Saha
and Monet, 2005). First, we note that these astrometric accuracies are likely achievable for
relatively bright objects whose positions are measured repeatedly. For dimmer objects that
are moving, the final positional accuracy might be considerably less, perhaps 100 to 200 mas.
Although the final performance capabilities of these remarkable instruments remains to be
demonstrated, given that only a prototype Pan-STARRS instrument has seen first light
and LSST will not reach that milestone until 2012 (Sweeney, 2006), we will stand by our
assumptions as providing an accurate indicator of the initial performance of modern, high
149
cadence, automated surveys. However, we must note that eventually substantial reductions
in all the time intervals discussed in this paper are possible or even likely.
In sum, the upcoming advent of observational instruments such as Pan-STARRS and
LSST show every prospect of leading to a realistic possibility of testing the inverse square
law of gravity in the outer Solar System. These systems, with their very high observation
cadences, will completely obviate the difficulties associated with obtaining large amounts of
telescope time in which to conduct this type of observation program. Finally, an additional
factor associated with this method of assessing gravity with LSST and Pan-STARRS deals
with the use of ensembles of objects. The large number of candidate objects that should be
discovered by these instruments will provide such a large volume of data that the statistics
will be driven to determine dynamic variations associated with gravity more quickly than
possible with the single object investigated here. Together, these factors may lead to a
renascence in our ability to test the inverse square law of gravity at intermediate distance
scales.
150
Chapter 7: Astrometry Summary
As outlined in Chapter 1, the overall purpose of the dissertation is twofold. The first goal
is to investigate the use of planets, comets, and asteroids, to look at the reality of the
Pioneer effect, and in particular to determine if those bodies provide a means to evaluate
the gravitational field of the outer Solar System. The second goal is to explore two general
mechanisms for explaining the Pioneer effect within the current astrophysical context. The
latter of these goals will be addressed in Part II; the former is addressed in Part I of the
dissertation.
In particular, the goal of this part of the dissertation is to assess the feasibility of using
observations of asteroids, comets, and planets to evaluate the gravitational field in the outer
Solar System and thereby explore the Pioneer effect by means of precision astrometry. If
an independent method of measuring the Pioneer effect was available it might serve, once
and for all, to either support or refute its existence as a real phenomenon.
Specifically, this portion of the dissertation had objectives that included the following:
• Using asteroids to probe the Pioneer effect—This objective involves investigating
whether asteroids can be used to determine whether or not the Pioneer effect can
be validated by means of astrometric observations. The work shows that a sustained
observation campaign or properly chosen asteroids can over time show whether or not
the Pioneer effect exists.
• Using Pluto as a probe of gravity in the outer Solar System—Contrary to a number
of statements in the literature, and in agreement with other assertions I have made,
we show that the motion of Pluto does not indicate that the Pioneer effect does not
exist; rather, uncertainties in the orbit of Pluto conceal potential small perturbations
to gravity.
151
• Using comets to measure the Pioneer effect—This objective seeks to investigate the use
of comets to see if they provide a vehicle for measuring the Pioneer effect. As smaller
and typically fainter bodies that are also subject to nongravitational perturbations
(Marsden et al., 1973), comets are not ideal candidates for this purpose; however,
examining the general feasibility of comets in this role was the primary thrust of this
objective.
• Exploring the impact of uncoming large, high observation cadence instruments such as
Pan-STARRS and LSST on the use of objects in the outer Solar System to investigate
gravity—Recognizing the scarcity of time on large telescopes, the dissertation shows
that the advent of high speed, deep surveys will revolutionize the use of minor planets
as probes of gravity in the outer Solar System.
Each of these objectives were addressed in an individual Chapter of the dissertation and
will be summarized below.
7.1
Discussion
We showed that asteroids can fill the role of investigating whether the Pioneer effect exists.
These bodies are useful for this purpose because they have a large mass and are large and
bright enough to observe for satisfactorily long intervals. Our analysis clearly shows that
observations could determine whether or not the Pioneer effect exists, and demonstrates that
the residuals of orbital fits grow if continuing observations are conducted and are modeled
with an erroneous force model. We further demonstrate that the Pioneer effect could be
confirmed or refuted by means of a sustained observation campaign against properly chosen
asteroids. These observations can be conducted with modest allocations of telescope time,
and would provide a definitive answer to the question within the next 20 years.
As far as the outer planets are concerned, our analysis above showed two major things.
First, we must fit observations to a particular dynamical model and adjust orbital elements
152
before predicted positions on the sky can be compared. The key idea is that orbital parameters are not known. Rather, they are derived from observations which have associated
an unavoidable error. The determination of orbits is a model fitting process which has its
own associated error sources. Thus, the orbits are not known with precision in any case.
Finally, extrapolating sky positions very far past the end of an observation arc can result in
predicted observations becoming inaccurate so rapidly as to be worthless. The implication
of these findings is that “matched” and “mismatched” gravity models cannot be distinguished on the basis of observable sky positions for observation arc lengths similar to those
currently obtaining for the outer planets.
Similarly, in order to draw conclusions about differences in position in the sky, we must
be careful not to oversimplify the dynamical model used to draw the conclusions. Suppressing degrees of freedom in the dynamics simplifies the orbital determination problem to just
such a degree. We must recognize that the orbital determination problem is nonlinear and
the customary solution methods are approximations. Thus, any missing or ignored degrees
of freedom can, if present, conceal dynamical effects associated with differing gravity models;
we are forced to make use of the full dimensionality of the dynamical problem. In particular,
a substantial amount of variation can be absorbed into a multidimensional parameter space
and the full parameter space must be considered to properly reflect differences in motion of
the outer planets due to the Pioneer effect.
Comets, although seemingly providing a potential observational vehicle for investigating
the Pioneer effect, are by no means ideal for this purpose. Although possessing many of the
qualities that made asteroids useful for this purpose, for example, because they have a large
mass and are large and bright enough to observe for possibly satisfactorily long intervals.
However, comets possess many characteristics that make them a marginal candidate
for assisting us in our quest. Generally, comets are of small size and have a low albedo.
This makes them difficult to observe at distances from the Sun where the Pioneer effect
plays a role. Also problematic is the fact that comets can be extended sources, particularly
when they are close to the Sun. Locating the center of light of a comet image can present
153
more problems than it does for asteroids. Additionally, jetting by comets produces not only
asymmetric isophotes and potentially influencing its trajectory.
Before making comments on the impact of LSST and Pan-STARRS, it is desirable to
reiterate the question being asked in this analysis. We are parametrically varying semimajor
axis and eccentricity, with these parameters treated as if their initial values are known
exactly. Hence, the question we ask in this paper is, given a known semimajor axis and
eccentricity, what will happen if we compare observations made subject to a Newtonian
model of gravity with ones made that include a small, radial, constant perturbation.
The primary purpose of this part of the dissertation has been to explore the impact
of high observation cadences on our ability to use astrometry to investigate gravity in the
outer Solar System. We have seen that moderately high cadences (e.g., one observation per
month) provide a way to distinguish between Newtonian gravity and gravity perturbed by
an additional small, radial, constant acceleration. Observations beginning when the object
is in the perturbation region can detect a positional difference at the 95 percent significance
level in approximately five to eight years, depending upon orbit characteristics. Similarly,
for objects that transition between the perturbed and unperturbed regions, an observation
period of approximately ten to 30 years is required.
7.2
Conclusions
Whether or not the type of observations investigated here allow the Pioneer effect to be
substantiated, astrometry of asteroids can be used to measure the gravitational field in the
outer Solar System. Depending upon the number and type of the measurements, it might
even be possible to break the degeneracy in the alternative predictions of different possible
explanations for the effect or differentiate between alternative gravitational theories. This
is a worthwhile program in its own right, and observations of (5338), (8405), and 1995 SN55
would be particularly helpful for this purpose.
The proposed method is not without weaknesses, however. The first weakness of our
approach is that it has less temporal resolution and lower sensitivity to perturbations than
154
would a spacecraft, dedicated or otherwise. However, the proposed observation program is
low in cost and can explore possible perturbation effects along a number of different vectors
through the Solar System, which would require multiple spacecraft. Such an observation
program could have profound effects on our understanding of the gravitational field and
implied mass distribution in the outer Solar System, and could also assist in discriminating
between alternative gravitational theories such as MOND and classical gravity, as well as
more exotic gravitational theories.
A second weakness is that our adopted model of the Pioneer effect is very simple. Since
the primary intent of this dissertation is to investigate the dynamical consequences of the
Pioneer effect, which apparently begin at large heliocentric distances, for simplicity, and
because there are no current data supporting a more gradual onset of the Pioneer effect, we
assumed the anomalous acceleration of the Pioneer effect begins abruptly at 20 AU. This
assumption, however, does not compromise the methodology. It only places limits on the
number of asteroids to consider as observational candidates. We recognize this as a simplistic
model of the effect. Alternative mechanisms exist that cause the Pioneer effect to vary with
object mass, orbital eccentricity, radial distance, and a number of other parameters of the
motion. As further observations of minor planets become available, they can potentially be
used to investigate various force models in order to explore all possibilities until either the
Effect is ruled out or its origin is found. However, the current status of information on the
Pioneer effect dictates that this simple model be investigated first.
Our analysis of Pluto’s orbit shows that we must conclude that we do not know the
orbits of the outer planets as well as we might have thought. We must continue to perform
astrometry on them in order to be able to comment on the accuracy with which we know
their orbits. In particular, we cannot assert that the motion of these bodies demonstrates
that the Pioneer effect does not exist. That jury is still out. Of course, this does not mean
that the Pioneer effect exists. It does mean that we cannot deny the existence of the Pioneer
effect on the basis of motions of the outer planets as currently known. Further observations
are required before such an assertion can be made with confidence.
155
Pluto is a particularly good target for such observations. Uranus and Neptune are
resolved objects and it is relatively difficult to determine their positions with high accuracy.
Pluto, as a much smaller object is easier to locate astrometrically. In addition, Pluto will be
visited by a spacecraft (New Horizons) in the relatively near future and should provide new
knowledge of parameters of Pluto’s orbit that can inform the kind of calculations performed
here.
We should also point out that in addition to the observations of individual objects discussed in this chapter, there are other related approaches to assessing gravity in the outer
Solar System. For example, recently Wallin et al. (2007) have investigated the use of ensembles of Trans-Neptunian Objects to ascertain whether their motion reflects unknown
additional perturbations. This work showed a 5-σ inconsistency between the motions exhibited by these objects and the existence of the Pioneer effect. Similarly, in the area of the
observation of individual objects as discussed in this chapter, the advent of Pan-STARRS
and LSST in the next several years should provide sufficient data to determine whether the
motion of outer Solar System bodies reflect the action of unknown forces. This determination should occur over time frames discussed in this paper. However, a combination of
the techniques of Wallin et al. (2007) and the considerations presented here should provide
definitive answers more quickly.
In terms of the existence of the Pioneer effect, perhaps the most important thing comets
have to say is that if the Pioneer effect exists, the impact on the motion of comets would
not contradict the physically well-motivated NGF model. Although the NGF model parameters would have to change, the changes would result in model parameter values that
are completely reasonable.
Notwithstanding the poor prospects of comets providing astrometric data showing the
existence or non-existence of the Pioneer effect, they do have some interesting characteristics. Continuing observations such as those undertaken at the ESO (Hainaut et al.,
2004) might provide insight over time into vagaries in their motion, especially as target
comets approach aphelion. ESO observations also provided the provocative result that
156
comet 1P/Halley is approximately 1.4 seconds of arc behind its expected ephemeris position. The idea that perturbations like the Pioneer effect could contribute to this discrepany
is worthy of further investigation.
Another issue that might be worthy of further investigation is the orbit of comet
109P/Swift-Tuttle. Because of its brightness, Swift-Tuttle is assumed to be large. Its
NGF parameters are also zero. The idea of a comet with substantial outgassing flies in
the face of the physical justification for the NGF. The idea that Swift-Tuttle’s outgassing
causes NGF that fortuitously change the orbital period in the right way to make NGF seem
to be nonexistent is provocative. However, the idea that the Pioneer effect could imply that
Swift-Tuttle is a less unusual body is worthy of further investigation.
Thus, of the three classes of candidate objects, only one seems to hold promise for
ascertaining the reality of the Pioneer effect. Despite the limitations of the use of asteroids
in that role, it remains true that there are very few intermediate range tests of gravity at
the multiple AU distance scale. Comets experience reaction forces due to outgassing, and
the outer planets move very slowly and cover only some of the region of interest. Spacecraft
like Pioneer are expensive, as well as being tiny, fragile things that outgas, get pushed
about by Solar winds, and suffer reaction forces due to their radio transmissions and power
sources. Most newer spacecraft improve their guidance capabilities by conducting midcourse corrections, leading to more motion variation and greater difficulty in discerning the
small perturbations. As was said in Chapter 3, notwithstanding all the limitations of the
proposed method, there is nothing quite as useful as a big, unwieldy, dynamically dead
chunk of rock for investigating small variations in Newton’s Laws or the mass distribution
in the outer Solar System.
The lengthy period of time estimated to be required to discern the Pioneer effect in
LSST and Pan-STARRS observations of asteroids is dependent upon our assumption that
the observations began at each object’s perihelion. This implies quite a long observation
arc before the objects even enter the perturbation region. If we subtract out that initial arc
inside the 20 AU boundary, the observation interval required to detect positional differences
157
in these transitional objects is approximately one to eight years.
The origin of this discrepancy points out the weakest part of our analysis of transitional
objects that move from within the 20 AU boundary to outside it and into the perturbation
region: we assume the observations begin at perihelion. Thus, there is a large body of
observational data inside the 20 AU boundary before objects even begin to suffer any
perturbations. The orbital element solution for such a case is heavily weighted towards the
unperturbed solution. Only when a sufficient number of perturbed observations are made
are they able to overcome the statistical weight of the unperturbed observations and begin
to change the orbit elements. This problem would be mitigated by considering observational
arcs beginning at different positions along the orbit; however, that was beyond the scope of
this work.
As we pointed out previously, our assumed observation cadence of one observation every
thirty days and an assumed astrometric accuracy of 0.3 seconds of arc are conservative.
Pan-STARRS is expected to initially achieve a one standard deviation positional error of
200 mas, which will decrease to about 50 mas as the astrometric grid self-improves, and a
cadence of weekly or faster (Jewitt, 2003). The science goal of LSST is to obtain astrometric
accuracies of 10 mas or better at a rate of complete sky coverage every few nights (Saha
and Monet, 2005). First, we note that these astrometric accuracies are likely achievable for
relatively bright objects whose positions are measured repeatedly. For dimmer objects that
are moving, the final positional accuracy might be considerably less, perhaps 100 to 200 mas.
Although the final performance capabilities of these remarkable instruments remains to be
demonstrated, given that only a prototype Pan-STARRS instrument has seen first light
and LSST will not reach that milestone until 2012 (Sweeney, 2006), we will stand by our
assumptions as providing an accurate indicator of the initial performance of modern, high
cadence, automated surveys. However, we must note that eventually substantial reductions
in all the time intervals discussed in this paper are possible or even likely.
In sum, the upcoming advent of observational instruments such as Pan-STARRS and
LSST show every prospect of leading to a realistic possibility of testing the inverse square
158
law of gravity in the outer Solar System. These systems, with their very high observation
cadences, will completely obviate the difficulties associated with obtaining large amounts of
telescope time in which to conduct this type of observation program. Finally, an additional
factor associated with this method of assessing gravity with LSST and Pan-STARRS deals
with the use of ensembles of objects. The large number of candidate objects that should be
discovered by these instruments will provide such a large volume of data that the statistics
will be driven to determine dynamic variations associated with gravity more quickly than
possible with the single object investigated here. Together, these factors may lead to a
renascence in our ability to test the inverse square law of gravity at intermediate distance
scales.
159
Part II
Dark Matter in the Solar System
160
Chapter 8: Dark Matter Methods and Models
The next two areas of discussion relate to the proposed methods of explaining the Pioneer
effect in terms of dark matter captured into Solar orbit. In both these cases, we seek to
determine the three dimensional mass density that would result from hypothesized dark
matter interactions. These density profiles can be compared with that required to generate
the Pioneer effect as well as with observed motions of all Solar System bodies. The first
method deals with a hypothetical weak interaction between elementary particle dark matter
and matter in the Sun. Existing Solar models and an isotropic dark matter distribution will
be used with a Monte Carlo simulation of the dynamics of dark matter particles to determine
the resulting phase space distribution of dark matter as a function of parameters describing
the properties of dark matter. The second mechanism is that of three body gravitational
interactions leading to capture of dark matter into Solar orbit. This mechanism involves
the Galactic barycenter, the Sun, and the dark matter particle interacting gravitationally.
Where the first method requires a weak interaction with elementary particle dark matter,
the second method would have physical validity for any form of dark matter at all.
8.1
Galactic Dark Matter Distribution
The population of dark matter that will interact with the model Sun is viewed as a relaxed,
isotropic, isothermal distribution. One example of such a model has an associated mass
161
density given by
2
ρh (r) =
α =
q =
2
Mh α e−r /rc
,
2π 3/2 rc r 2 + γ 2
n
1−
γ
,
rc
o−1
√
2
πqeq [1 − erf(q)]
,
(8.1)
where Mh is the halo mass, α is the core radius, and r c is the cutoff radius (Hernquist,
1993).
An associated velocity distribution can be derived by taking the second moment of the
collisionless Boltzmann equation to arrive at Jeans’ equation
i
d(ρh vr2 ) ρh h 2 2
dΦ
+
· 2vr − vθ + vφ2 = −ρh
.
dr
r
dr
(8.2)
If velocities are isotropic (e.g., a spherically symmetric halo), we can integrate to get
vr2 = −
1
ρh (r)
Z
∞
ρh (r)
r
dΦ
dr,
dr
(8.3)
where Φ contains all the components of the gravitational field. This can be written
vr2
1
=
ρh (r)
Z
∞
ρh (r)
r
GM (r)
dr,
r2
(8.4)
where M (r) is the cumulative mass distribution resulting from the assumed mass density
given above.
To obtain the required velocity distribution, we need to select a distribution whose
second moment is vr2 . The obvious choice meeting this criterion is a Gaussian; thus we
162
select our speeds from
f (v, r) = 4π
1
2πvr2
!3/2
v 2 e−v
2 /2v 2
r
,
(8.5)
and we can initialize our velocity components assuming isotropy. Thus, each component is
independent and drawn from the same distribution for speed.
Now that we have justified using a Maxwell-Boltzmann distribution to describe the
velocity structure of Galactic dark matter, we must ask the question of what value for v r2
is appropriate. This question is not a simple one, notwithstanding the general acceptance
of a working value for such research. Cowsik et al. (1996) provides a description one way
to derive vr2 .
The normal way to proceed is to take refuge in a virial approach and to set v r2 equal
to 3/2 times the square of the asymptotic value of the Galaxy’s circular rotation speed.
The difficulty arises in that the rotation curve of the Galaxy is not known. Usually, it is
assumed that the rotation curve is flat from about 5 kpc from the center out past the Sun
at about 8.5 kpc. This gives a value of v r2
1/2
of 270 km/s which is the value adopted here.
It is worth noting, however, that there are several weaknesses in this approach. First,
there is really no reason to assume a spherical distribution of Galactic dark matter (Binney and Tremaine, 1987). It could equally well be distributed in a disklike structure and
cosmological dark matter simulations show a filamentary structure. Second, Cowsik et al.
(1996) makes the provocative claim that the velocity dispersion in the Galaxy can be as
great as 600 km/s. This claim received a number of criticisms (Evans, 1997; Gates et al.,
1997), but it remains interesting. Investigation of the impact of such a large dark matter
velocity dispersion is left for future research.
163
8.2
Local Dark Matter Density
The most important observational quantity contributing to the determination of the local
density of dark matter is the Galaxy’s rotation curve. It has been measured frequenty, but
often some comment like “due to our unfortunate location within the Galaxy,” is made
to indicate the difficulty of making it accurately. One complexity is that the total mass
distribution of the Galaxy determines the rotation curve. Thus, knowledge of the disk, the
central bulge, and the halo all are necessary.
Using a variety of approaches, the local dark matter density has been calculated. The
results of these efforts are described in Jungman et al. (1996) and Bertone et al. (2005).
They relate that Bahcall et al. (1983) obtains a value of about 0.009 M /pc3 , while Caldwell
and Ostriker (1981) find a smaller vale of 0.006 M /pc3 . Turner (1986) found the local dark
matter density to be about 0.008-0.011 M /pc3 . Others obtain results agreeing more or less
with these values. Generally, in numerical research, a value of 0.008 M /pc3 is adopted.
Since one M /pc3 = 38 GeV/cm3 , this means the canonical value of the local density is
about 0.3 GeV/cm3 .
This value is almost universally used in dark matter studies. However, the uncertainties
in it should be noted. As Jungman et al. (1996) points out, the “standard lore” currently
assumes an error is this value of about a factor of two. However, the uncertainties in the
measured rotation curve imply that the local density of dark matter depends strongly on
a number of aspects of the Galaxy’s structure and the associated uncertainties might be
larger than is generally assumed.
164
Chapter 9: Dark Matter Capture Via a Weak Interaction
The idea of Galactic dark matter being captured into bound Solar System orbits due to
various kinds of interactions is not new. Spergel and Press (1985), in a search for an
explanation for the then important “missing Solar neutrino” problem, investigated the
impact of a stable, neutral, massive particle in the Sun’s primordial makeup. The resulting
properties of this particle were remarkably close to the current limits set on the parameters
of dark matter. This initial work was continued in Press and Spergel (1985), to compare
the hypothesized particle properties with those known for dark matter at the time. Both
of these papers used a diffusion approach.
The following year, Gaisser et al. (1986) investigated the possibility that Galactic dark
matter would accumulate in the core of the Sun, annihilate, and produce a neutrino signal
that could be detected in deep underground detectors.
These ideas were further elaborated by Gould (1991), who looked into the idea that
gravitational diffusion of Weakly Interacting Massive Particles (WIMPs) bound to the Sun,
but crossing the orbits of the Earth, Venus, and Jupiter could lead to “indirect” capture.
Later, Gould (1992) further investigated these ideas by seeking to measure some properties
of WIMPs by comparing the strengths of the annihilation signals produced by WIMPs in
the Sun and in the Earth. This work also employed a diffusion approach.
Work in these areas continues. Damour and Krauss (1998) looked into the possibility
that perturbations due to the planets and the departure of the Solar potential from a 1/r
form allow WIMPs that are captured in the outer layers of the Sun by scattering to evolve
into orbits that no longer intersect the Sun, allowing them to persist for significant periods
of time. More recently, Lundberg and Edsjö (2004) investigated the possibility that WIMPs
can be captured by the Earth, sink to its center, annihilate, and produce a signal detectable
165
by modern neutrino telescopes.
This summary, by no means complete, has in common that a diffusive approach was
followed, either in order-of-magnitude arguments or in explicit solution to the Boltzmann
equation.
However, a different approach was recently taken in a series of papers. This approach
began (Peter and Tremaine, 2008) by noting that for any given WIMP model, the approach
taken today to evaluate the potential effectiveness of both direct and indirect dark matter detection experiments is to assume that Galactic dark matter particles dominate both
classes of phenomena. However, two processes were not included. The first was gravitational
scattering by the planets; the second was elastic scattering of dark matter in the Sun. Although a diffusion approach was previously taken, the author of Peter and Tremaine (2008)
felt that a series of orbital integrations would provide additional insight. This approach has
been continued in Peter (2009a,b,c).
While interesting, this approach is focused on determining possible detection likelihoods
for dark matter candidates. We will employ a similar method to investigate whether dark
matter particles captured by the Sun by means of weak interactions can cause the Pioneer
effect. In particular, we employ what might be termed the “hot Sun” approach where the
constituents of the Sun are in thermal motion.
The remainder of this Chapter is divided into four additional sections. First, Section
9.1 discusses the methods used to accomplish the calculations used in this Chapter. Section
9.2 discusses the results of those calculations, while Section 9.3 provides discussion of them.
Finally, Section 9.4 states conclusions.
9.1
Methods and Models
In carrying out our calculations, there are four major parts that we need to consider. First,
both in order to calculate the motion of dark matter particles through the Sun and to
determine the likelihood of scattering, as well as the speed with which target atoms are
moving, we require a detailed model of the interior of the Sun. This information also allows
166
us to calculate the gravitational potential inside the Sun. The manner in which these aspects
of our problem are addressed is dealt with in Sections 9.1.1 and 9.1.2, below.
Second, we need a model for scattering of the dark matter particles off Solar matter. For
its simplicity, we choose a simple model of isotropic hard sphere scattering; for completeness,
we will review the simple physics behind this choice in Section 9.1.3.
Third, we wish to parameterize the scattering cross section between dark matter and
Solar matter. The manner in which a cross section per nucleon is aggregated to describe
the scattering against a Solar nucleus is described in Section 9.1.4.
Finally, Section 9.1.5 describes the methodology we use to determine the likelihood of
scattering taking place and where it occurs.
9.1.1
Solar Interior Model
Since the mean free path of dark matter particles streaming through the Sun depends upon
not only the scattering cross section, but also the density of target material, and, since the
thermal velocities of Solar material likewise depend on the internal temperature of the Sun,
we require a detailed model of the Solar interior.
The model we adopt was developed for investigating neutrino fluxes emerging from the
Sun and represents one in a series of models developed for that purpose. We use the BP2000
model (Bahcall et al., 2001). Although there are more recently developed models (Bahcall
et al., 2005, for example), BP2000 is thoroughly documented and suits our requirements
admirably.
The quantities of interest in our calculations are temperature, density, mass, and mass
fraction for the constituents of interest. We included Hydrogen, Helium-4 and -3, Carbon12, Nitrogen-14, and Oxygen-16. Figures 9.1 through 9.4 show the main features of the
model.
167
Mass interior to radial distance (in solar masses)
1
0.8
0.6
0.4
0.2
0
0
0.2
0.4
0.6
Radius (in solar radii)
0.8
1
Figure 9.1 Solar mass interior to a radial distance. Distance is expressed in Solar radii and
mass in Solar masses.
1.6e+07
1.4e+07
Temperature (Kelvin)
1.2e+07
1e+07
8e+06
6e+06
4e+06
2e+06
0
0
0.2
0.4
0.6
Radius (in solar radii)
0.8
1
Figure 9.2 Solar termperature versus radial distance. Distance is expressed in Solar radii.
168
160
140
Density (g / cm3)
120
100
80
60
40
20
0
0
0.2
0.4
0.6
0.8
1
Radius (in solar radii)
Figure 9.3 Total mass density versus radial distance Distance is expressed in Solar radii.
1
Mass fraction by species
0.1
0.01
0.001
0.0001
Hydrogen
Helium-4
Helium-3
Carbon-12
Nitrogen-14
Oxygen-16
1e-05
1e-06
0
0.2
0.4
0.6
Radius (in solar radii)
0.8
1
Figure 9.4 Mass fraction of main Solar constituents versus radial distance. Distance is
expressed in Solar radii.
169
9.1.2
Solar Potential
By analogy with Newton’s gravitational force law about a point mass and its associated
potential, it is easy to make the error that the Newtonian gravitational potential about
spherically symmetric mass distribution is
Φ(r) = −
GM (r)
,
r
(9.1)
where M (r) is the mass interior to a radial distance r. 1 However, it is somewhat surprising
that such an error has appeared in the refereed literature, although it has in at least one
case (Iorio, 2006).
Taking the view that the potential energy about such an extended body is the work
done in moving an object from infinity to some distance r, we can write the potential as
Φ(r) = −
Z
r
∞
F (r) · dr.
(9.2)
Now, if we have a body of extent R , we can write the gravitational force as
F (r) =



− GM2 r


− GM2(r)
r
r ≥ R
(9.3)
r < R
where G is the Newtonian graviational constant, M is the total mass of the object, and
M (r) is the mass interior to a radius r.
1
A graduate student who shall remain nameless made this error himself as part of his oral qualifying
examination.
170
Then, for r ≥ R we have the familiar result that
Z
Φ(r) =
r
∞
GM
dr
r2
GM r
= −
r ∞
= −
GM
r
(9.4)
For r < R , we have
Φ(r) =
Z
r
∞
=
Z
GM (r)
dr
r2
R
∞
GM (r)
dr +
r2
Z
r
R
GM (r)
dr
r2
Z r
GM (r) R
GM (r)
= −
+
dr
r ∞
r2
R
GM
+
= −
R
Z
r
R
GM (r)
dr
r2
(9.5)
Considering only the second term in Eq. 9.5, we can integrate by parts and get
Z
r
R
Z r
GM (r)
GM (r) r
G dM (r)
dr = −
+
dr
2
r
r
dr
R r
R
GM (r) GM
= −
+
+ 4π
r
R
The last term arises because M (r) = 4π
R
Z
r
R
Gρ(r) 2
r dr.
r
(9.6)
ρ(r)r 2 dr which gives dM (r)/dr = 4πr 2 ρ(r).
171
-1e+15
-2e+15
Potential energy per unit mass (erg/g)
-3e+15
-4e+15
-5e+15
-6e+15
-7e+15
-8e+15
-9e+15
-1e+16
0
0.2
0.4
0.6
Radius (in solar radii)
0.8
1
Figure 9.5 Gravitational potential energy per unit mass inside the Sun. Outside the Sun,
the potential takes the form Φ(r) = GM /r. Distance is expressed in Solar radii.
Substituting Eq. 9.6 into Eq. 9.5 we can write a final expression for Φ
GM (r)
+ 4πG
Φ(r) = −
r
Z
r
ρ(r)rdr.
(9.7)
R
It is interesting to compare Eq. 9.1 with Eq. 9.7. Clearly, the second term is a correction
to the naive approach represented by Eq. 9.1.
As a final step in our calculations we can use the Solar model discussed above and can
numerically integrate the expression on the right of Eq. 9.7 to arrive at the potential inside
the Sun. Figure 9.5 shows the resulting potential.
9.1.3
Hard Sphere Scattering
For the parametric analyses being conducted here, we neither need nor desire a complicated
model of the dark matter scattering. Since it takes a particularly simple form, and since we
are in the low energy scattering regime, we elect to model isotropic hard-sphere scattering.
172
In center of mass coordinates, this type scattering takes a particularly simple form. If
vi and vi0 are the velocities of the ith particle before and after scattering, respectively, and
mi is the mass of the ith particle, conservation of linear momentum and energy give
v10 =
(m1 − m2 )v1 + 2m2 v2
m1 + m 2
v20 =
(m2 − m1 )v2 + 2m1 v1
.
m1 + m 2
(9.8)
In order to carry out the scattering, the velocities of Solar nuclei are derived from
assuming that Solar constituents are in thermal equilibrium, leading us to assume that each
constituent’s speeds are distributed according to a Maxwell-Boltzmann distribution at a
local temperature from the previously discussed Solar model.
We assume that the scattering is isotropic in center of mass coordinates.
9.1.4
Scattering Cross Section
In order to simplify our calculations, we wish to parameterize the scattering cross section
between dark matter and Solar matter. A recent review (Taoso et al., 2008) addresses the
scattering of dark matter from baryonic matter. There are two possible scattering modes,
spin-dependent and spin-independent.
The cross section for spin-independent scattering is coherently enhanced compared with
the case of scattering from a single nucleon. This enhancement is approximately given by
SI
σN
'A
2
µχ
µp
2
σpSI ,
(9.9)
SI is the total cross section between a dark matter particle and a nucleus, A is the
where σN
atomic weight of the nucleus, µχ is the reduced mass between the nucleus and the dark
matter particle, µp is the reduced mass of a proton and a dark matter particle, and σ pSI is
173
the cross section between a dark matter particle and a single proton.
For spin-dependent couplings, there is no coherent enhancement, and the total cross
section is determined by unpaired nucleons in the target nucleus. For this reason, spinindependent interactions normally dominate for scattering against heavy nuclei. The spindependent cross section is proportional to A 2 , which obviously is much less than the spinindependent cross section for heavy nuclei, all other things being equal.
Since our primary interest is in parameterizing the single nucleon cross section as to
investigate the effect of dark matter elastic scattering on capture of dark matter particles,
we use Eq. 9.9 to allow a one dimensional parameterization across various nuclear species
present in the Sun.
9.1.5
Scattering Depth
We use standard techniques to determine the likelihood of scattering and where it occurs.
The Solar model discussed above provides the mass density and mass fraction for each
nuclear species as a function of radial distance from the center of the Sun. The product
of these two divided by the nuclear species mass gives the number density of nuclei as a
function of position.
Then, the optical depth to scattering is given by
τ=
Z
nσds,
(9.10)
where n is the number density, σ is the scattering cross section against the particular nuclear
species, and ds is an element of arc length along the path over which the integration takes
place.
Then, the probability of an interaction occuring is simply
P = 1 − e−τ .
174
(9.11)
Thus, in order to determine if and where an interaction occurs, we simply integrate
Eq. 9.10 along the path of the object, and calculate the probability accordingly. Standard
simulation techniques are employed to determine if a particular species interacts at a given
position along the path.
9.2
Results
The general approach we have taken to investigate dark matter scattering is straightforward.
First, we randomly determine a speed and direction for a dark matter particle. As outlined
in Chapter 8, we assume the velocity distribution of dark matter is Maxwellian with a given
vrms in a Galactocentric frame of reference. After transforming into a heliocentric frame, we
randomly generate a Solar impact parameter and determine where the dark matter particle
intersects the surface of the Sun. Using the Solar potential described above, we integrate
the dark matter particle path and determine optical depths to scattering for each nuclear
species in the Sun.
After integrating the path through the Sun, we determine which nuclear species interacts
first, where the interaction occurs, and the appropriate physical parameters at the scattering
site. Assuming the Solar material is in thermal equilibrium, we generate a target nucleus
speed by means of a Maxwell-Boltzmann distribution and an associated random direction.
Transforming into center of mass coordinates, we conduct hard sphere scattering, pick a
random outgoing direction, and transform back into heliocentric coordinates.
At this point, we can determine the escape velocity from the Sun, and determine the
destiny of the scattered dark matter particle. We accumulate appropriate statistics and
repeat the process until a specified number of dark matter interactions take place.
Figure 9.6 shows a few illustrative trajectories through the Sun. Cases I and IV are
similar and show trajectories that pass through the outer layers of the Sun. These would
not be expected to interact much because of the low densities present in those regions.
Cases II and III pass much closer to the center of the Sun, however. For a point mass, these
trajectories would be of high eccentricity and would hook sharply around the Sun before
175
1e+11
5e+10
0
-5e+10
Sun
Case I
Case II
Case III
Case IV
-1e+11
-1e+11
-5e+10
0
5e+10
1e+11
Figure 9.6 Illustrative dark matter trajectories through the Sun. Cases I, III, and IV have
relatively large impact parameters; Case II has a smaller miss distance.
leaving. However, the extended nature of our Solar model diminishes the gravitational force
in the center, leading to smaller deflections. On the other hand, the central regions of the
Sun are denser and we would expect these particles to scatter more often.
Figure 9.7 shows the resulting optical depth to scattering for two of the dark matter
trajectories. The curves relate to the Case I and Case II trajectories shown in Figure 9.6.
There are two important aspects to note. First, the optical depth is more than three orders
of magnitude greater for Case II than for Case I because the former passes through the high
density core of the Sun. Second, the time required to pass through the Sun is about twice
as great for Case II as for Case I because the latter has a greater distance through which
to pass. Of course, the increased likelihood of an interaction in the central regions of the
Sun in Case II would also involve significantly higher temperatures and the corresponding
higher target nucleus velocities.
Reviewing the discussion of scattering cross section above, we should expect the nature
of the scattering to be unchanged relative to changes in the cross section. We should
176
2e-06
Panel A
Optical depth to scattering
2e-06
2e-06
1e-06
5e-07
Hydrogen
Helium-4
Helium-3
Carbon-12
Nitrogen-14
Oxygen-16
0e+00
0
200
400
600
800
1000
Time along trajectory (sec)
1200
1400
1600
9e-03
Panel B
8e-03
Optical depth to scattering
7e-03
6e-03
5e-03
4e-03
3e-03
2e-03
Hydrogen
Helium-4
Helium-3
Carbon-12
Nitrogen-14
Oxygen-16
1e-03
0e+00
0
200
400
600
800
1000
Time along trajectory (sec)
1200
1400
1600
Figure 9.7 Optical depth to scattering for two dark matter trajectories. Panel A (top)
corresponds to Case I in Figure 9.6; Panel B on the bottom corrsesponds to Case II.
177
just expect the frequency with which scattering takes place to be higher with larger cross
sections. For this reason, in the rest of this chapter we will consider only a cross section of
σ = 10−41 cm2 .
For dark matter particles impacting the Sun, there are five possible outcomes. The
predominant outcome by far is that dark matter particle pass through the Sun without
interacting. For the particles that do interact, there are two possibilities. Either the particles
are captured into a bound orbit about the Sun, or they still possess enough energy after
scattering to once again escape. For those dark matter particles that are captured, some
will orbit entirely within the Sun and some will have portions of their orbits that rise above
the Solar surface.
Figure 9.8 shows the number of each of these occurrences for the five different dark
matter masses we investigated. This figure assumed a dark matter scattering cross section
of 10−41 cm2 per nucleon and was generated from 10,000 dark matter interactions.
The peak in the number of dark matter particles captured is due to a mass resonance with
Hydrogen. If we had modeled more dark matter masses separated by smaller differences,
there presumably would be a realtively sharp peak at each mass that matched one of the
constituents in our Solar model. The magnitude of the peak would be related to the amount
of that consituent present in the Sun.
The number of particles that escape the Sun after interacting is the complement of the
number captured with respect to the 10,000 interactions. Thus, we see a lessening of the
frequency of that occurrence at the mass of Hydrogen.
The numbers of particles only inside the Sun and rising above the Solar surface add to
equal the number of dark matter particles captured. Again, there is a peak around a dark
matter mass equal to that of Hydrogen. However, perhaps the most interesting feature of
this graph is the relatively constant number of particles that rise above the Sun’s surface.
This is the population of primary interest to us as it will form the group of dark matter
particles that can generate the Pioneer effect at large distances from the Sun.
Figure 9.9 shows the log of the binned frequency versus energy for the bound dark matter
178
10000
9000
8000
7000
Frequency
6000
5000
4000
3000
2000
No. captured
No. escaping
No. outside Sun
No. only inside Sun
1000
0
0.1
1.0
10.0
100.0
Mass of dark matter particle (proton masses)
1000.0
Figure 9.8 Number of dark matter particles suffering different fates as dark matter particle
mass varies. All these results are for a scattering cross section per nucleon of 10 −41 cm2
and represent the results for 10,000 dark matter interactions.
particles. Somewhat unexpected is the same sort of scaling previously seen for scattering
cross section to apply to dark matter particle mass. The approximately even spacing of the
curves in Figure 9.9 show that the overall distribution of captured dark matter particles is
similar for all dark matter masses, with only the absolute frequency of occurrence varying.
For this reason, in what follows we will display only a dark matter mass of 1,000 proton
masses.
9.3
Discussion
Figure 9.10 shows the distribution in total energy of captured dark matter particles. As
discussed previously, the form of the distribution is invariant to scattering cross section and
largely invariant to dark matter particle mass. This particular case is for a cross section
per nucleon of σ = 10−41 cm2 and a mass of 1,000 proton masses.
One interesting facet of this graph is that there are no dark matter particles captured
179
1e-04
1e-05
1e-06
Frequency
1e-07
1e-08
1e-09
1e-10
1e-11
M = 1000
M = 100
M = 10
M = 1.0
M = 0.1
1e-12
1e-13
-1e+16
-8e+15
-6e+15
-4e+15
Total energy (erg / g)
-2e+15
0e+00
Figure 9.9 Log of binned frequency of captured dark matter particles as dark matter mass
is varied. All these results are for a scattering cross section per nucleon of 10 −41 cm2 . Dark
matter masses are given in proton masses.
directly into low energy orbits near the center of the Sun. The frequency of a particular
energy increases monotonically as one moves to greater energies, maximizing at or near a
value of zero. The termination of this distribution is due, of course, to the fact that particles
of positive energy are not bound to the Sun and are thus excluded from our captured case.
The second interesting aspect of Figure 9.10 is that, since the potential energy at the
surface of the Sun is about −1.9 × 1015 ergs/g, a substantial part of the energy distribution
places captured dark matter particles outside the Sun’s surface. Of course, there is a lot of
space represented by the energies between those at the Sun’s surface and infinity.
This metaphorical “lot of space” can more clearly be seen in Figure 9.11, which shows
the distribution of semimajor axes corresponding to the captured dark matter shown in
Figure 9.10. As before, the particular case shown here corresponds to a cross section per
nucleon of σ = 10−41 cm2 and a mass of 1,000 proton masses. The frequencies of other
cases scale with cross section and mass, but the form of the distribution remains the same.
Once again, we see no dark matter particles near the center of the Sun. However, the
180
2.5e-05
2.0e-05
Frequency
1.5e-05
1.0e-05
5.0e-06
0.0e+00
-1e+16
-8e+15
-6e+15
-4e+15
Total energy (erg / g)
-2e+15
0e+00
Figure 9.10 Frequency of energy bins of captured dark matter particles. An energy corresponding to a particle just reaching the surface of the Sun is about 2×10 15 erg/g; an energy
corresponding to reaching the Earth’s radius is about 9 × 10 8 erg/g, indistinguishable from
zero energy in this plot. These results are for a dark matter mass of 1,000 proton masses
and a scattering cross section per nucleon of 10 −41 cm2 . The results are illustrative of those
for dark matter with different masses and cross sections.
peak frequency occurs inside the Sun’s surface, which is shown by the vertical dotted line
in Figure 9.11. However, from our perspective, the most important feature of this graph
is that virtually no dark matter particles have a semimajor axis more than several AU in
magnitude. Given that the eccentricities of the captured dark matter particles are high
(because they approach quite close to the Sun), these objects cannot move beyond about
twice their semimajor axis outwards. This means that virtually none of these objects move
beyond Jupiter’s orbit.
9.4
Conclusions
The major features of the orbits of captured dark matter particles have already been outlined. As far as the main objectives of this dissertation are concerned, Figure 9.11 tells the
tale: Virtually no dark matter is scattered into orbits that can extend out to the distances
181
3.0e-05
2.5e-05
Frequency
2.0e-05
1.5e-05
1.0e-05
5.0e-06
0.0e+00
1e-04
1e-03
1e-02
1e-01
1e+00
Upper limit of distance bin (AU)
1e+01
1e+02
Figure 9.11 Frequency of semimajor axis for captured dark matter. These results are for
a dark matter mass of 1,000 proton masses and a scattering cross section per nucleon of
10−41 cm2 . The results are illustrative of those for dark matter with different masses and
cross sections. The Sun’s radius is shown by the vertical dotted line.
where the Pioneer effect has been observed. Thus, we must say that this mechanism cannot
be the cause of the Pioneer effect.
In retrospect, this is understandable. If we consider the likelihood of a dark matter
particle of positive energy scattering into a different energy state, and ask what is the
likelihood that that post-scattering energy is of a magnitude sufficient to reach into the
outer Solar System, we find that likelihood to be low.
The depth of the Sun’s potential well is about 9.6×10 15 ergs/g while the energy required
to reach a distance at which the Pioneer effect has been observed (e.g., 20 AU) is about
4.4×1011 erg/g. This means that if one considers a dark matter particle uniformly scattering
into a bound gravitational state in the Sun’s field, the probability of it scattering into a
state that takes it at least 20 AU outwards is the ratio of these quantities, about 5 × 10 −5 .
However, it must be noted that this conclusion is based on a first scattering of dark
matter by Solar material. The potential impact of multiple scatterings is left for future
182
research, although we have some preliminary results indicating that our conclusion with
respect to this mechanism being a potential cause of the Pioneer effect will not be altered.
These ideas will be discussed further below.
The energy distribution of captured dark matter shown in Figure 9.10, shows the distribution to be roughly an increasing power law in energy. Thus, the peak of the energy
distribution is approaching zero energy, an unbound state. We may safely say that, generally speaking, the captured dark matter is loosely bound to the Sun. Then, as outlined
above, we might reasonably ask what happens to the orbits of captured dark matter during
subsequent scatterings by Solar material.
The common folklore among researchers of dark matter detectors that seek annihilation
signals for dark matter in the center of the Sun is that dark matter, after capture, quickly
thermalizes and sinks to the center of the Sun. This approach is at the center of recent work
such as (Peter and Tremaine, 2008) and (Peter, 2009a,b,c), for example. This is likely true
for massive dark matter candidates such as those customarily considered. However, there
are lighter dark matter candidates such as axions and neutralinos. Particles lighter than
several times the mass of Solar constituents are likely to be scattered out of their bound
orbits on subsequent scattering by Solar material.
Figure 9.12 shows several optical depths to scattering as a function of time. The topmost
curve represents the maximal rate of increase in optical depth when motion occurs deep in
the sun at a point of maximum density. The successive lower curves show the manner in
which the optical depth to scattering increases as the particle becomes less and less tightly
bound. The “waviness” of the curves is due to their moving through regions of lower density
further from the center of the Sun. Similarly, the duration of the regions of lesser increase in
τ are longer further out from the center than when the particles are deep in higher density
regions. The bottom-most curve in Figure 9.12 illustrates the behavior for a particle whose
orbit takes it from within to well above the surface of the sun. In these latter regions, there
is no chance of an interaction and the rate of increase in τ is zero until the particle once
again enters the Sun.
183
1e-01
Optical depth to scattering
1e-02
1e-03
1e-04
1e-05
Maximally bound
Orbital state 2
Orbital state 3
Orbital state 4
1e-06
0e+00
1e+03
2e+03
3e+03
4e+03
5e+03
Time (sec)
Figure 9.12 Optical depth to scattering as a function of time for several representative
orbits. The flat spots on the curves are associated with regions of lower density and lower
likelihood of scattering. The dark matter mass in this plot is one proton mass.
In order to simulate a scattering event, one must merely draw a random number and
determine the time at which the optical depth to scattering results in a probability of
scattering equal to the random number. This time, in turn, determines the location on
the orbit at which the scattering event occurs and this defines the depth within the Sun,
the temperature, and other particulars defining the scattering event. These parameters can
then be used to simulate the scattering event and determine the resulting new orbital state
of the particle.
Figure 9.13 shows a set of representative orbital states a particle can traverse between
its capture into Solar orbit and its eventual escape. Several aspects should be noted. First,
the scattering events can result in large direction changes of the particles. Secondly, after a
relatively small number of scattering events, the particle eventually receives enough energy
from a collision to escape the Sun’s gravity. This violates an oft-used small angle, diffusive
approximation to describe these events.
184
Figure 9.13 Representative set of orbital states that a dark matter particle traverses from
initial capture into Solar orbit to eventual escape. The encompassing circle is the Sun’s
surface. The dark matter particle mass in this plot is one proton mass.
Preliminary investigations into this capture mechanism seem to indicate that most capture orbits are of low energy and low angular momentum. The first is largely due to the
depths in the Sun’s gravitational field that particles must penetrate in order to undergo a
capture event. The second is due to the small radial distance from the center of the Sun at
which the scattering event occurs. Thus, even high energy orbits have only small angular
momentum because they necessarily intersect the Sun. Particles in orbital states such as
this will not travel very far out from the Sun.
For these reasons, it seems likely that even if we consider multiple scatterings, this
capture mode will not be a cause of the Pioneer effect because captures only place dark
matter close to the Sun, while the Pioneer effect is only observed in the outer Solar System.
However, the precision with which the positions of the inner planets are known allows one to
place bounds on the nature and phase space distribution of the dark matter in the vicinity
of the Sun. The bounds will be due to necessarily avoiding too great a mass of captured
dark matter in the inner Solar System because more captured matter would have detectable
185
consequences in terms of the motion of the inner planets.
However, these further considerations are reserved for future reseach.
186
Chapter 10: Dark Matter Capture Via Three-Body
Interactions
The idea of three body capture is familiar from its frequent use with many deep space
probes in the past. Although mostly familiar from the standpoint of allowing probes to gain
energy from planetary encounters, this mechanism has also been used to brake spacecraft
to facilitate their entry into planetary orbit. The first spacecraft to use the technique was
Mariner 10, launched in 1973. This probe used a gravity assist from a close approach
to Venus to reduce its velocity and allow a close approach to Mercury. The initial close
approach to Mercury was further used to adjust the spacecraft’s orbital period and enable
it to return to Mercury for two additional flybys.
Subsequently, the gravity assist maneuver has been used many times. Pioneer 11 was
originally planned as a Jupiter flyby, but use of Jupiter’s gravity to provide the energy for
a near reversal of direction allowed the probe to fly by Saturn only five years later on the
opposite side of the Solar System. Similarly, Voyagers 1 and 2 used a gravity assist from
Jupiter to get to Saturn and Voyager 2 used its Saturn encounter to get to Uranus and
Neptune. Ulysses used an encounter with Jupiter to radically change the plane of its orbit
and allowed it to pass over the poles of the Sun. The Galileo probe performed gravity assist
maneuvers once with Venus and twice with Earth to enable it to get to Jupiter in only six
years. Additionally, a close pass by Jupiter’s moon Io assisted Galileo in reducing its energy
and entering Jovian orbit.
As perhaps the culmination of this type of mission, the currently ongoing Cassini probe
used two flybys of Venus, the Earth, and Jupiter to get to Saturn in seven years. Once
in orbit about Saturn, multiple encounters with Titan have modified Cassinis trajectory to
allow a continuing thorough examination of the Saturnian system.
187
The physical basis of these gravity assist maneuvers is to either gain or lose energy at
the expense of a nearby object. While at first glance this seems to violate the principle of
conservation of energy, the presence of a third body enables the maneuver to be physically
realizable. Thus, for a energy-gaining flyby, the spacecraft would approach the planet from
behind, gaining energy by accelerating towards the planet. At the same time, the planet
imperceptibly slows, moving slightly closer to the Sun and into a lower energy state. This
energy difference is manifested in the increased speed of the spacecraft. A similar maneuver
passing in front of the planet can result in a loss of spacecraft energy.
In our case, the three bodies of interest are the Galactic barycenter, the Sun, and a
dark matter particle. The great depth of the Galactic gravitational potential well, the
huge mass of the Sun, and the isotropic distribution of dark matter should result in a very
large “capture basket” wherein dark matter particles can interact with the Sun and become
captured into Solar orbit. The overall geometry would seem to imply that a significant
number of the captured particles would be in high energy, high angular momentum orbits
that would extend far from the Sun. Additionally, given a lack of perturbations, these
particles, once captured, should remain in Solar orbit for a very long period of time, likely
only perturbed into escape trajectories by the infrequent close passage of other stars or
Galactic tidal effects.
The primary question that this dissertation is intended to address is whether enough
dark matter could accumulate in Solar orbit to cause the Pioneer effect.
As already discussed, even if this capture phenomenology cannot explain the Pioneer
effect, it should place constraints on the dark matter distribution in the vicinity of the Sun.
Additionally, this capture mechanism will operate with any possible type of dark matter,
whether of an elementary particle nature or not.
10.1
Methods and Models
As is well known, the general three body problem is not soluble in closed form. From
Newton’s day, many very capable people have attempted to make headway against this
188
problem’s complexities. For our purposes here, recalling that our problem has one galactically massive particle (the Galactic barycenter), one extremely massive body (the Sun),
and one almost massless body (a dark matter particle, whether micro– or macroscopic),
the circular restricted three body problem provides an excellent approach. This simplified
three body problem has been the subject of analysis for many years, and there are many
excellent treatments among which are Murray and Dermott (2000) and Valtonen and Karttunen (2006), who approach the problem from different perspectives. In this discussion, we
will largely follow the treatment in Murray and Dermott (2000).
10.1.1
The Circular Restricted Three Body Problem
The circular restricted two body problem involves two massive bodies in circular orbit
about one another. The third body is comparatively massless and orbits the other two.
Importantly, the third body is so small that it has no effect on the motion of the other two
bodies at all. The two massive bodies are called the primaries and we can take their masses
to be m1 and m2 . Without loss of generality, we can take m 1 > m2 . Then, we can define a
unit of mass such as to make G(m1 + m2 ) = 1 and we can write
µ=
m2
.
m1 + m 2
(10.1)
This gives the following values for the two primary masses in this set of units
µ1 = Gm1 = 1 − µ,
µ2 = Gm2 = µ,
(10.2)
with µ < 1/2. The unit of length can then be chosen to make the constant separation
between the primaries unity. Similarly, we can take the unit of time to be such as to make
the period of the primaries about one another equal to 2π. This means the mean motion n
of the two primaries is unity.
189
The normal treatment of the circular restricted three body problem involves imagining
a set of rectangular inertial coordinates forming a right handed coordinate system whose
origin is at the center of mass of the two massive primaries. These coordinates can be
labeled ξ, η, and ζ and are often referred to as sidereal coordinates. We can immediately
write the equations of motion of the third body as
ξ̈ = µ1
ξ2 − ξ
ξ1 − ξ
+ µ2 3 ,
3
r1
r2
η̈ = µ1
η2 − η
η1 − η
+ µ2
,
3
r1
r23
ζ̈ = µ1
ζ1 − ζ
ζ2 − ζ
+ µ2 3 ,
3
r1
r2
(10.3)
where
r12 = (ξ1 − ξ)2 + (η1 − η)2 + (ζ1 − ζ)2 ,
r22 = (ξ2 − ξ)2 + (η2 − η)2 + (ζ2 − ζ)2 .
(10.4)
Since the two primaries are assumed to revolve around their common center of mass in
circular orbits with a constant angular velocity, their separation remains constant as well.
If we take the plane of the primary’s orbits as the ξη plane, it is then completely natural
to look at the equations of motion in a rotating frame of reference where the locations of
the primaries are fixed.
Let us then take a right handed rectangular coordinate system, with its origin also at
the center of mass of the primaries, rotating in the postive direction with a uniform rate n.
If these new coordinates are labeled x, y, and z, we can choose the x axis to lie along the line
connecting the primaries. The primaries will then have locations (x 1 , y1 , z1 ) = (−µ2 , 0, 0)
190
and (x2 , y2 , z2 ) = (µ1 , 0, 0). Substituting into Eq. 10.4, we have
r12 = (x + µ2 )2 + y 2 + z 2 ,
r22 = (x − µ1 )2 + y 2 + z 2 .
(10.5)
In the world in which we are working, these rotating coordinates are called the synodic
coordinates.
The rotating coordinates are related to the inertial coordinates by a simple rotation
 
 
cos
nt
−
sin
nt
0
ξ
 x 
  
 
  
 η  =  sin nt cos nt 0   y  .
 
  
 
  
z
0
0
1
ζ

(10.6)
We can differentiate Eq. 10.6 twice to obtain

 

2
¨
 ξ   cos nt − sin nt 0   ẍ − 2nẏ − n x
  

 η̈  =  sin nt cos nt 0   ÿ + 2nẋ − n2 y
  

  

ζ̈
0
0
1
z̈



,


(10.7)
where the ẋ and ẏ terms have introduced the Coriolis acceleration and the x and y terms
have introduced the centripetal acceleration into the equations of motion.
We can subtitute Eqs. 10.6 and 10.7 into Eq. 10.3, and eliminate the sin and cos terms
by cross multiplying and adding and subtracting, to get the equations of motion in the
191
synodic system
x + µ2
x − µ1
ẍ − 2nẏ − n x = − µ1
+ µ2
,
r13
r23
2
µ1 µ2
ÿ + 2nẋ − n y = − 3 + 3 y,
r1
r2
2
µ1 µ2
z̈ = − 3 + 3 z.
r1
r2
(10.8)
The accelerations on the right hand side of Eqs. 10.8 plus the centripetal accelarations
can be written as the gradient of a scalar potential, U
ẍ − 2nẏ =
∂U
,
∂x
ÿ + 2nẋ =
∂U
,
∂y
z̈ =
∂U
,
∂z
(10.9)
where U is given by
U=
µ1 µ2
n2 2
+ .
(x + y 2 ) +
2
r1
r2
(10.10)
Note that U is positive, contrary to the usual convention in physics; however, this is
the norm in celestial mechanics and presents no difficulties. Note also the U is not a true
potential because its gradient does not produce all the forces on the particle in the rotating
frame.
If we multiply the three Eqs. 10.9 by ẋ, ẏ, and ż, and add the results, we get
xẋ + y ẏ + z ż =
∂U
∂U
∂U
ẋ +
ẏ +
ż.
∂x
∂x
∂x
192
(10.11)
This can be integrated immediately to give
ẋ2 + ẏ 2 + ż 2 = 2U − CJ ,
(10.12)
where CJ is a constant of integration. Rearranging terms and substituting from Eqs. 10.10,
we have
2
2
2
CJ = n (x + y ) + 2
µ1 µ2
+
r1
r2
− v2.
(10.13)
CJ is called the Jacobi integral and it is a constant of the motion in the circular restricted
three body problem. Note that CJ is not an energy intergral because neither energy nor
angular momentum is conserved in the restricted problem. It is the only integral of motion
for this problem, however, which indicates that the problem is not soluble in the general
case.
10.1.2
Hill’s Problem
If the massless particle in the circular restricted three body problem is moving around the
larger primary, the major orbital perturbations will occur when it gets near the smaller
primary. Instead of dealing with the full equations derived above, we can simplify the
problem by describing only the motion that occurs in the vicinity of the second primary.
This problem was first developed by Hill in connection with his lunar theory (Hill, 1878).
Although many variations in this problem have been explored over the years, the starting
point we will choose for developing Hill’s problem are the equations of motion for the circular
restricted three body problem, Eqs. 10.8. Recognizing that if G is unity, the sum of µ 1
and µ2 is also one, and then we can write µ1 = 1 − µ and µ2 = µ. Then, Eqs. 10.8 can be
193
written
x − (1 − µ)
x+µ
,
ẍ − 2ẏ − x = − (1 − µ) 3 + µ
r1
r23
1−µ
µ
ÿ + 2ẋ − y = −
+ 3 y,
r13
r2
µ
1−µ
+ 3 z,
z̈ = −
r13
r2
(10.14)
where we set n = 1 and, from Eq. 10.5,
r12 = (x + µ)2 + y 2 + z 2 ,
r22 = [x − (1 − µ)]2 + y 2 + z 2 .
(10.15)
Now, we can recognize that µ 1 which means that we can take terms like 1 − µ
and replace them with one. At the same time, we can transform from the original synodic
coordinate system centered on the center of mass of the primaries to one centered on the
less massive primary. Thus, we can substitute w = x − 1 ⇒ x = w + 1 into Eqs. 10.14 and
10.15 to get
w+1
w)
ẅ − 2ẏ − (w + 1) = −
+µ 3 ,
r13
r2
1
µ
ÿ + 2ẇ − y = − 3 + 3 y,
r1
r2
µ
1
z̈ = − 3 + 3 z,
r1
r2
194
(10.16)
and
r12 = (w + 1)2 + y 2 + z 2 ,
r22 = w2 + y 2 + z 2 .
(10.17)
Finally, we recognize that w 1, which allows us to expand to first order in w, giving
r12 = 1 + 2w. Substituting into Eqs. 10.16, we get Hill’s equations
ẍ − 2ẏ = 3x −
ÿ + 2ẋ = −
µ
x,
R3
µ
y,
R3
z̈ = −z −
µ
z,
R3
(10.18)
where we have relabeled w as x for convenience, and
R 2 = x2 + y 2 + z 2 .
(10.19)
Now, in precisely the same way as previously, we can multiply each of Eqs. 10.18 by ẋ,
ẏ, and ż, respectively, and again obtain a perfect differential. This gives the Jacobi constant
in Hill’s approximation
CH = 3x2 − z 2 +
2µ
− v2 .
R
(10.20)
As a final comment on Hill’s equations, inspection of Eq. 10.18 shows that the radial
force vanishes for µ/R 3 = 3. This defines the Hill radius as
RH =
µ 1/3
3
.
(10.21)
The Hill radius represents the radius within which the attractive force due to the smaller
195
primary is never less than the force due to the more massive primary. It represents a sphere
of influence about the smaller body in the presence of the larger.
10.1.3
Curves of Zero Velocity
As observed above, the Jacobi constant is the only integral of the motion available to us
in the circular restricted three body problem. This means that we cannot use it to solve
the problem in general. However, we went through the somewhat lengthy derivation of the
Jacobi constant because it can be used to determine regions from which the massless object
can be excluded.
If the velocity in the Jacobi constant is set equal to zero, we obtain a set of surfaces
that are called zero velocity surfaces. If we restrict the motion to planes, we obtain zero
velocity curves. The interesting thing about these curves is that although they are defined
by
CH = 3x2 − z 2 +
2µ
,
R
(10.22)
2µ
R
(10.23)
from Eq. 10.20, we clearly must have
CH ≤ 3x2 − z 2 +
for the velocity to be real and not imaginary.
Since the Hill equations are derived from a set of approximations, in order to understand
how the zero velocity curves help us understand motion in the circular restricted three body
problem, we will briefly return to the full problem. In this case, the zero velocity curves are
defined by Eq. 10.13
2
2
CJ = x + y + 2
µ1 µ2
+
r1
r2
,
(10.24)
where v has been set equal to zero and n to unity.
Suppose we have a body in the xy plane, very close to the more massive primary. In
196
this case, x, y, and r1 are small and r2 is about unity. Then we have a value for C J
that is relatively large, about 2µ + 2(1 − µ)/r 1 . Now for v 2 to be positive, we must have
CJ ≤ 2µ + 2(1 − µ)/r1 . This can be written as r1 ≤ 2(1 − µ)/(CJ − 2µ). Thus, in this case,
motion is restricted to within a small circle about the more massive primary.
Similarly, if we have a body very close to the less massive primary, x, y, and r 1 are all
about unity, but r2 is small. This implies another relatively large value for C J of about
4 − 2µ + 2µ/r2 . Then, for real velocity, the motion is restricted to within a circular region
about the less massive body of radius r 2 = 2µ/(CJ − 4 + 2µ).
Finally, suppose the massless body is orbiting very far away from either of the primaries.
Then, r1 and r2 are both large, and the Jacobi integral is about C J = x2 + y 2 in this initial
configuration. For the velocity to be real in subsequent motion, we must have C J ≤ x2 + y 2 ,
which means that the only permitted motion is outside the initial radial distance from the
center of mass of the primaries. Thus, there is a roughly circular area centered on the center
of mass within which motion is excluded.
This situation is illustrated in Figure 10.1. The important point here is that if a body
is in one of the small regions close to either of the primaries and has a Jacobi constant
with certain values, it can never escape the primary it orbits to become bound to the other
primary. Similarly, if the small object is far away from both primaries, it can have a Jacobi
constant that allows it to orbit both primaries but it can never approach either one. The
excluded area in the Figure is shaded.
In intermediate cases, there are ways for an object orbiting one primary to eventually
begin orbiting the other. Even there, depending upon specifics of the motion, the object
might never be able to leave the vicinity of the system. This is the concept of Hill’s stability
and will be discussed below.
197
Transverse Distance (HillRadii)
5
4
3
2
1
0
−1
−2
−3
−4
−5
−5
−4
−3
−2
−1
0
1
2
3
4
5
Radial Distance (Hill Radii)
Figure 10.1 Zero velocity curves in the orbital plane of the primaries for µ = 0.3. The value
of the Jacobi constant is 2.5. The shaded area represents the excluded area.
10.2
Results
Our problem is a special case of the Hill problem, where the primaries are the Galactic
barycenter and the Sun. The unit of distance is about 8.5 kpc which is about 1.7 × 10 20
meters. The ratio of the primary’s masses is about µ = 10 −11 . The Hill radius is about 1.5
× 10−4 in natural units, or about 2.6 × 1016 meters, or 0.8 pc in more familiar units. The
distance at which the Pioneer effect begins to make itself felt is 20 AU, which is about 3
× 1012 meters or about 1.8 × 10−8 in natural units. In the circular restricted three body
problem system of units, the unit of time is 1.1 × 10 15 seconds, making the period of the
primaries 2π. Then, the unit of velocity is about 2.4 × 10 5 m/s.
We’ll look at this problem in two ways. First, suppose we have a dark matter particle at
a distance of a Hill radius divided by the square root of three away from the second primary
198
on each axis. The Jacobi constant at that point is
√
√
2µ
− v2 ,
CH = 3(RH / 3)2 − (Rh / 3)2 +
RH
(10.25)
where RH is the Hill radius, and the other parameters have the values from above. This
gives CH = 1.45 × 10−7 − v 2 . If this particle moves within 20 AU of the Sun, what is
the maximum value of v that will leave the particle moving at less than the local escape
velocity? At 20 AU, the local escape velocity is about 0.04 in natural units. At this speed
and distance, the Jacobi constant has a value of about 5 × 10 −4 . Then at the more distant
location, the speed of the particle would have to be less than about 5.3 km/s, a very small
speed in comparison to the rms speed of 270 km/s.
Thus, any dark matter particle about a Hill radius away from the Sun, moving faster
than 5.3 km/s could not be bound to the Sun at a distance of 20 AU. This would seem to
argue that very few dark matter particles can be captured into Solar orbit from a population
bound to the Galactic center.
Another way of looking at this problem is to consider contours of the Jacobi constant.
First, let us look at the full circular restricted three body problem and then at the Hill
problem. Earlier, we discussed that, for certain values of the Jacobi constant, the only
motion that was possible was either in the vicinity of either primary or far away from
both primaries. If the Jacobi constant for this situation decreases, these regions about the
primaries get closer together and finally touch, forming a “figure eight” region. This is shown
in the upper left graph in Figure 10.2. The point of contact is located at the “L1” Lagrange
point and it provides a gateway for particles in orbit around one primary to move to orbiting
the other primary and back again. In this case, the particle is Hill stable and cannot escape
the vicinity of the system formed by the primaries. As the Jacobi constant decreases further,
this initial throat between the two primaries widens and eventually another throat opens
on the opposite side of the less massive primary. This is shown in the upper right graph in
Figure 10.2. This throat is at the “L2” point and it provides a means for paticles orbiting in
199
5
4
4
Transverse Distance (HillRadii)
Transverse Distance (HillRadii)
5
3
2
1
0
−1
−2
−3
−4
−5
3
2
1
0
−1
−2
−3
−4
−5
−5
−4
−3
−2
−1
0
1
2
3
4
5
−5
−4
−3
−2
−1
0
1
2
3
4
5
3
4
5
Radial Distance (Hill Radii)
5
5
4
4
Transverse Distance (HillRadii)
Transverse Distance (HillRadii)
Radial Distance (Hill Radii)
3
2
1
0
−1
−2
−3
−4
−5
3
2
1
0
−1
−2
−3
−4
−5
−5
−4
−3
−2
−1
0
1
2
3
4
5
−5
Radial Distance (Hill Radii)
−4
−3
−2
−1
0
1
2
Radial Distance (Hill Radii)
Figure 10.2 Zero velocity curves in the orbital plane of the primaries for different values of
CJ . The illustrated case is for µ = 0.3. Values of C J are 1.960, 1.779, 1.646, and 1.420 for
the four cases. Equation 10.13 is defines the Jacobi constant in this problem. The shaded
area represents the excluded area.
the vicinity of the primaries to escape to the region far from them. As the Jacobi constant
decreases still further, still another throat opens on the opposite side of the more massive
primary. This is shown in the lower left panel of Figure 10.2. This throat is at the “L3” point
and provides still another entry and exit point. Finally, as the Jacobi constant decreases
still further, the throats continue to get wider and eventually the almost the entire space
is available for motion of the dark matter particles. In all these Figures, the shaded area
represents the excluded area.
In the Hill problem, the situation is similar. Figure 10.3 shows the vicinity of the less
massive primary, in the plane of the primary’s orbits, out to a distance of about two Hill
radii. The upper left panel in Figure 10.3 corresponds to Figure 10.1. Again, motion is
200
restricted to either inside the roughly circular area, or outside the two bracketing lines on
the left and the right. As the Jacobi constant is reduced, throats again open up. The
assumptions inherent in the Hill problem lead to the L1 and L2 throats opening simultaneously, rather than in sequence as in the full circular restricted problem. This situation
is shown in the upper right panel of Figure 10.3. Again the narrow throats allow particles,
once they have moved in close to the primary, to remain there for a period of time before
they escape. As the Jacobi constant continues to decrease, the throats continue to widen
until, as shown in the lower left panel of 10.3, there is hardly any sign of them. Finally, as
the Jacobi constant decreases further, only small excluded regions remain as shown in the
bottom right panel of 10.3. As above, the shaded areas represent the excluded areas in all
these Figures.
Physically, this means that if a dark matter particle has a Jacobi constant small enough
to be restricted to the vicinity of the primary, it can never venture away. Thus, in the
context of the Hill problem, no dark matter particles can exist outside the vicinity of the
Sun that match this criterion and that can move from outside in to the Sun’s vicinity.
However, at smaller Jacobi constant values, when the throats between the inner and outer
regions are narrow, particles entering the nearby region can remain there for an extended
period of time, moving in nonperiodic orbits in the vicinity of the Sun. However, the throats
provide egress as well as entrance and for each particle entering the region close to the Sun,
we should expect one to leave.
The wider the throats become, the more particles can flow in near the Sun, but the
easier it is for them to leave. Thus, their motion becomes more “passing near” and less
“temporarily bound” to the Sun.
The discussion above has related to the plane containing the motion of the two primaries.
Similar curves for the same values of C H used in Figure 10.3 were used to generate curves in
the plane going through both primaries and normal to the plane of the primaries’ orbits, as
well as in the plane through the lighter primary and normal to the radial direction. These
are shown in Figure 10.4.
201
2
Transverse Distance (HillRadii)
Transverse Distance (HillRadii)
2
1
0
−1
−2
1
0
−1
−2
−2
−1
0
1
2
−2
−1
Radial Distance (Hill Radii)
1
2
1
2
2
Transverse Distance (HillRadii)
2
Transverse Distance (HillRadii)
0
Radial Distance (Hill Radii)
1
0
−1
−2
1
0
−1
−2
−2
−1
0
1
2
−2
−1
Radial Distance (Hill Radii)
0
Radial Distance (Hill Radii)
2
1
0
−2
−1
Normal distance
1
0
−1
−2
Normal distance
2
Figure 10.3 Zero velocity curves for the Hill problem in the orbital plane of the primaries
for different values of CH . The values plotted are 2.5 × 10−7 , 2.0 × 10−7 , 1.5 × 10−7 , and
1.0 × 10−7 . Equation 10.20 defines CH . The shaded area is the excluded area.
−2
−1
0
1
2
−2
Radial distance
−1
0
1
2
Transverse distance
Figure 10.4 Zero velocity curves for the Hill problem in the plane going through the primary
and normal to the plane of the primary’s orbits (left panel) and in the plane perpendicular
to the orbital plane and normal to the radial direction (right panel). The same values for
CH as were used in Figure 10.3 are used here.
202
The left panel of Figure 10.4 is similar to that shown in 10.3. Initially, the particle’s
motion will be restricted to the vicinity of the primary. As the pair of throats open, particles
can become temporarily captured, but can also escape. As the Jacobi constant diminishes
further, the throats continue to open until much of the space is available for motion of the
particle.
The right hand panel in 10.4 shows that these values of the Jacobi constant are appropriate for particles that are only in the vicinity of the primary. This means that particles
with these values of the Jacobi constant are not able to leave the vicinity of the primary in
the plane normal to the radial direction.
10.3
Discussion
The circular restricted three body problem is an area that is represented by a substantial
body of research going back many years. For example, Henon (1969) investigated the
restricted three body problem when the mass of the second primary was vanishingly small,
a case not dissimilar to our own. He produced families of unstable periodic orbits. However,
he did restrict himself to motion of the small body in the same plane as the primaries.
Heppenheimer and Porco (1977) also restricted themselves to plane motion, but performed long term numerical integration to find orbits and illustrate their major features.
From our standpoint, their primary finding is that orbits of temporarily captured bodies
always stay at substantial distances from their primary. Heppenheimer and Porco (1977)
does show some of the peculiarities of the temporary, nonperiodic orbits, however.
Bruno and Varin (2006, 2008, 2009) represent part of a series of papers investigating
families of periodic solutions to the restricted three body problem. Many of their cases
relate to a mass ratio near zero, which matches our interests. However, they have also
restricted themselves to motion in the plane.
Almost all investigators recognize that without some form of energy dissipation, permanent capture in the restricted three body problem is impossible. One recent example of
such work is Vieira Neto et al. (2004) who investigated the effect of Jupiter’s mass growth
203
on satellite capture. Another such work is Iwasaki and Ohtsuki (2007) who investigated
dynamical behavior of planetesimals temporarily captured from heliocentric orbits. In their
spheres, both these works also find few temporarily captured bodies that pass close to their
primary.
Finally, Peter (2009a,b,c) consider a problem analogous to ours. We are interested in
the capture of Galactic dark matter into Solar orbit by means of three body interactions
between the Galactic barycenter, the Sun, and the dark matter particle. Peter (2009a,b,c)
investigate three body capture where the three bodies are the Sun, Jupiter, and the dark
matter particle. The thrust of these papers is towards dark matter detection through direct
detection experiments, and finding the distribution of dark matter in the Solar system in
support of that aim. They show that gravitational interactions can have an effect on such
detection rates.
In light of all this previous work and our own findings, it does not appear that three
body capture is a mechanism that can accumulate substantial quantities of dark matter
in the vicinity of the Sun and thereby produce an anomalous acceleration like the Pioneer
effect. Is does appear, however, that what capture does occur is probably restricted to
much greater distances from the Sun that is of interest to us here. However, it should be
noted that this conclusion is based upon the limitations of the circular restricted three body
problem and the derivative Hill problem. We shall say more about those restrictions below.
10.4
Conclusions
As indicated above, gravitational capture of Galactic dark matter by means of three body
interactions between the Galactic barycenter, the Sun, and dark matter particles does not
seem to be capable of producing enough captured matter to generate a Pioneer effect. What
capture does occur is temporary and would be at substantially greater distances from the
Sun than are necessary to match the characteristics of the Pioneer effect.
These conclusions, however, are based on attacking the problem with the methods of
the circular restricted three body problem and its special case, the Hill problem. The
204
underlying assumption that the small body is so small as to have no impact on the motion
of the primaries is of great import. In particular, since the primaries do not move from their
keplerian orbit about one another, neither energy nor angular momentum is conserved. As
it happens there is a conserved quantity, the Jacobi constant, but as a single integral of the
motion, it does not permit a general solution.
In the circular restricted three body problem, there is no possibility of permanent capture in the absence of some form of energy dissipation. Various mechanisms are periodically
proposed that are seemingly appropriate in particular circumstances, but external dissipation is imposed nonetheless. In the circular restricted three body problem there is no
inherent mechanism that can dissipate energy.
A simple construction due to van Allen (2003) shows that this approach may not be
adequate for all problems. Suppose we have a planet moving in an inertial frame of reference
with velocity U . Further suppose that a very small particle of initial momentum p i interacts
gravitationally with the planet. After the interaction, the small body has momentum p f =
pi + ∆p. Conservation of linear momentum then requires that the momentum of the planet
change by an amount P = M (U − ∆p/M ) where M is the mass of the planet. The energy
of the planet after the interaction is then
P2
2M
=
=
1
[M (U − ∆p/M )] 2 ,
2M
M
2U · ∆p ∆p2
2
+
.
U −
2
M
M2
(10.26)
Multiplying through and ignoring the very small (∆p/M ) 2 term, the change in energy
of the planet is
∆E =
P2
M 2
−
U ,
2M
2
= −U · ∆p.
205
(10.27)
Of course, if we insist that energy is conserved, the small body’s energy must change by
a corresponding amount.
The surprising thing about this result is that, at least to first order in ∆p, the amount
of energy given up by the planet is independent of the mass of either the planet or the small
particle and only depends on the geometry of the interaction and the amount of momentum
change undertaken by the small particle. This is the way that spacecraft can gain or lose
energy in planetary encounters.
However, the circular restricted three body problem does not recognize this effect. It is
doubtful that a different approach would have an impact on our conclusions with respect
to dark matter capture as a cause of the Pioneer effect. However, other applications would
make it interesting to pursue this alternative approach. This is left for future research.
206
Chapter 11: Dark Matter Summary
As was described in Chapter 1, the dissertation has two overall purposes. The first goal,
addressed in Part I, is to investigate the use of planets, comets, and asteroids to investigate
the reality of the Pioneer effect, and in particular to determine if those bodies provide a
means to evaluate the gravitational field of the outer Solar System. The second goal is to
explore two mechanisms for explaining the Pioneer effect within the current astrophysical
context. This goal is addressed in Part II of the dissertation.
Although theorists have explored many potential causes of the Pioneer effect, Occam’s
razor dictates that we preferentially investigate simpler explanations as a first choice. To
this end, the second phase of the dissertation involves exploring two general mechanisms
for explaining the Pioneer effect within the currently accepted astrophysical context.
The first approach involves investigating the effective mass density that would be produced in the Solar System as a result of the capture of elementary particle dark matter
by means of a hypothetical weak interaction between the dark matter particles and the
matter in the Sun. This approach is restricted to potential dark matter candidates such as
neutrinos or more exotic particles like neutralinos or axions that are able to interact weakly
with matter in the interior of the Sun.
The second approach to explaining the Pioneer effect involves an effect that has not
heretofore been recognized: three body capture of dark matter from the Galactic halo into
Solar orbit. We are all familiar with utilizing gravity assist trajectories to minimize travel
time for spacecraft on the way to the outer planets. What hasn’t previously been explored
is using this same dynamical phenomenon in reverse. In this case the three bodies whose
interactions can cause halo dark matter to lose sufficient energy to become bound to the
Sun are the Sun itself, the dark matter particle, and the Galactic barycenter. The process
has a very large capture cross section and has the additional benefit of applying to any
207
dark matter candidate (either elementary particle or macroscopic bodies of various levels
of exoticness).
Within the two broad purposes outlined above, the main objectives of this part of the
dissertation include the following:
• Evaluating mass capture due to particle interactions between dark matter and matter
in the Sun as a source of the Pioneer effect—If Galactic dark matter exists as elementary particles, and if it interacts both gravitationally and weakly with baryonic
matter, those interactions should lead to capture of dark matter into Solar orbit. The
thrust of this objective is to evaluate the possibility that dark matter captured in this
way can explain the Pioneer effect.
• Evaluating three-body capture as a mechanism for explaining the Pioneer effect—A
mechanism for explaining the Pioneer effect in the context of a mass concentration
in the outer Solar System that has not previously been investigated is through threebody capture of Galactic dark matter into Solar orbit. In this context the three bodies
are the Galactic barycenter, the Sun, and the dark matter particle. Note that this
mechanism does not demand that dark matter be of an elementary particle nature.
Any type of dark matter that gravitates would be subject to this effect.
Each of these objectives were addressed in an individual Chapter of the dissertation and
will be summarized below.
11.1
Discussion
Independent of the amount of dark matter captured into Solar orbit by means of a weak
interaction with Solar matter, we have found that the nature of the orbits is such that they
cannot contribute to causing a Pioneer style acceleration at large distances from the Sun.
Virtually no dark matter is scattered into orbits that can extend out to the distances where
the Pioneer effect has been observed. Thus, we must say that this mechanism cannot be
the cause of the Pioneer effect.
208
If we consider the likelihood of a dark matter particle of positive energy scattering into
a different energy state, and ask what is the likelihood that that post-scattering energy is
of a magnitude sufficient to reach into the outer Solar System, we find that likelihood to
be low. This can be seen because the depth of the Sun’s potential well is about 9.6 × 10 15
ergs/g while the energy required to reach a distance at which the Pioneer effect has been
observed (e.g., 20 AU) is about 4.4×10 11 erg/g. Thus, if one considers a dark matter particle
uniformly scattering into a bound gravitational state in the Sun’s field, the probability of it
scattering into a state that takes it at least 20 AU outwards is the ratio of these quantities,
about 5 × 10−5 .
However, it must be noted that this conclusion is based on a first scattering of dark
matter by Solar material. The potential impact of multiple scatterings is left for future
research, although we have some preliminary results indicating that our conclusion with
respect to this mechanism being a potential cause of the Pioneer effect will not be altered.
These ideas will be discussed further below.
The energy distribution of captured dark matter is roughly an increasing power law in
energy. Thus, the peak of the energy distribution is approaching zero energy, an unbound
state. Generally speaking, the captured dark matter is loosely bound to the Sun. Then, as
outlined above, we might reasonably ask what happens to the orbits of captured dark matter
during subsequent scatterings by Solar material. These questions are discussed below.
Gravitational capture of Galactic dark matter by means of three body interactions
between the Galactic barycenter, the Sun, and dark matter particles does not seem to be
capable of producing enough captured matter to generate a Pioneer effect. What capture
does occur is temporary and would be at substantially greater distances from the Sun than
are necessary to match the characteristics of the Pioneer effect.
It is possible that other approaches to the dynamics of this problem may result if further
insight. These approaches are left to future research. However, some comments will be made
below.
209
11.2
Conclusions
The common folklore among researchers of dark matter detectors that seek annihilation
signals for dark matter in the center of the Sun is that dark matter, after capture, quickly
thermalizes and sinks to the center of the Sun. This is likely true for massive dark matter
candidates such as those customarily considered. However, there are lighter dark matter
candidates such as axions and neutralinos (for example, Bottino et al., 2005; Lin et al.,
2009). Particles lighter than several times the mass of Solar constituents are likely to be
scattered out of their bound orbits on subsequent scattering by Solar material.
Our preliminary investigations into this capture mechanism seem to indicate that most
capture orbits are of low energy and low angular momentum. The first is largely due to the
depths in the Sun’s gravitational field that particles must penetrate in order to undergo a
capture event. The second is due to the small radial distance from the center of the Sun at
which the scattering event occurs. Thus, even high energy orbits have only small angular
momentum because they necessarily intersect the Sun. Particles in orbital states such as
this will not travel very far out from the Sun.
For these reasons, it seems likely that even if we consider multiple scatterings, this
capture mode will not be a cause of the Pioneer effect because captures only place dark
matter relatively close to the Sun, while the Pioneer effect is only observed in the outer
Solar System. However, the precision with which the positions of the inner planets are
known allows one to place bounds on the nature and phase space distribution of the dark
matter in the vicinity of the Sun. The bounds will be due to necessarily avoiding too great
a mass of captured dark matter in the inner Solar System because more captured matter
would have detectable consequences in terms of the motion of the inner planets.
However, investigating the issues associated with multiple scatterings may have significant implications with regard to the appropriateness of the customary assumptions about
the rate at which interacting dark matter comes into thermal equilibrium with Solar matter. This, in turn, has implications regarding the effectiveness of some direct dark matter
detection methods.
210
Multiple scattering effects might also conflict with the assumptions associated with diffusive approximations to the outcomes of such encounters. Our preliminary results indicate
that not only are large angle scatterings the norm in our situation, but only a few encounters
are necessary to permit the dark matter particle to escape the Sun’s influence forever.
As observed above, we found that there is no possibility of permanent capture via the
circular restricted three body problem in the absence of some form of energy dissipation.
Various mechanisms are periodically proposed that are seemingly appropriate in particular
circumstances, but external dissipation is imposed nonetheless. In the circular restricted
three body problem there is no inherent mechanism that can dissipate energy.
Thus, we cannot have permanent capture of gravitationally interacting dark matter. It
also appears that dark matter particles captured by this mechanism would generally be
found too far from the Sun to generate the Pioneer anomaly. Further, we found that the
amount of dark matter likely to be temporarily captured is too small to cause the Pioneer
effect
These conclusions, however, are based on attacking the problem with the methods of
the circular restricted three body problem and its special case, the Hill problem. The
underlying assumption that the small body is so small as to have no impact on the motion
of the primaries is of great import. In particular, since the primaries do not move from their
Keplerian orbit about one another, neither energy nor angular momentum is conserved. As
it happens there is a conserved quantity, the Jacobi constant, but as a single integral of the
motion, it does not permit a general solution.
211
Part III
Discussion and Conclusions
212
Chapter 12: Conclusions and Final Comments
12.1
Conclusions
12.1.1
Astrometry
Our conclusions fall into two areas. First, they deal with using astrometry to deterimine
whether the Pioneer effect, or any other small perturbation to gravity, exists in the outer
Solar System. Second, our conclusions deal with two potential causes to the Pioneer effect
that involve capture of Galactic dark matter into the Solar System. In the paragraphs that
follow, we will summarize the conclusions of the dissertation.
We show that asteroids can be used to evaluate the gravitational field in the outer Solar
System and can be used to explore the Pioneer effect by means of precision astrometry.
Asteroids are useful for this purpose because they have a large mass and are large and
bright enough to observe for satisfactorily long intervals. Our analysis clearly shows that
observations could determine whether or not the Pioneer effect exists, and demonstrates that
the residuals of orbital fits grow if continuing observations are conducted and are modeled
with an erroneous force model. We further demonstrate that the Pioneer effect could be
confirmed or refuted by means of a sustained observation campaign against properly chosen
asteroids. These observations can be conducted with modest allocations of telescope time,
and would provide a definitive answer to the question within the next 20 years.
However, it should be noted that Wallin et al. (2007), using ensembles of Trans-Neptunian
Objects, showed that the existence of the Pioneer effect is inconsistent with the motion of
these bodies at the 5-σ level. Similarly, Standish (2008) showed that the motion of Uranus
and Neptune is also inconsistent with the Pioneer effect.
In assessing the utility of using astrometry of the outer planets to determine whether
the Pioneer effect exists, our analysis showed two major things. First, observations must be
213
fit to a particular dynamical model and orbital elements must be adjusted before predicted
positions on the sky can be compared. Orbital parameters are derived from observations
which have associated an unavoidable error. The determination of orbits is a model fitting
process which has its own associated error sources. Extrapolating sky positions very far
past the end of an observation arc can result in predicted observations becoming inaccurate
so rapidly as to be worthless. The implication of these findings is that “matched” and “mismatched” gravity models cannot be distinguished on the basis of observable sky positions
for observation arc lengths similar to those currently available for Pluto.
Similarly, in order to draw conclusions about differences in position in the sky, we
must be careful not to oversimplify the dynamical model used to draw the conclusions.
Suppressing degrees of freedom in the dynamics simplifies the orbital determination problem
to just such a degree. The orbital determination problem is nonlinear and the customary
solution methods are approximations. Thus, any missing or ignored degrees of freedom can,
if present, conceal dynamical effects associated with differing gravity models; we are forced
to make use of the full dimensionality of the dynamical problem. In particular, a substantial
amount of variation can be absorbed into a multidimensional parameter space and the full
parameter space must be considered to properly reflect differences in motion of the outer
planets due to the Pioneer effect.
The problem with a simplified dynamical approach is a two-faceted one. First, the orbital
fitting problem is inherently nonlinear and is normally solved in the linear approximation.
Even if not mathematically chaotic, the system of equations is sensitively dependent upon
initial conditions. Thus, small changes in elements can result in large changes in predicted
position outside the range of observations. This sensitivity is exacerbated by the problem
of a short observation arc. The length of the entire observational archive for Pluto is
less than about one-third of a complete revolution. Together, these factors conspire to
potentially generate large errors outside the observation arc, while increasing the length of
the observation arc can markedly reduce error over the whole of the arc and even beyond
it.
214
We conclude that we do not know the orbit of Pluto as well as we might have thought.
We must continue to perform astrometry on it in order to be able to comment on the
accuracy with which we know its orbit. Using current data, we cannot assert that the
motion of Pluto demonstrates that the Pioneer effect does not exist. That jury is still out.
Of course, this does not mean that the Pioneer effect exists. It does mean that we cannot
deny the existence of the Pioneer effect on the basis of motions of Pluto as currently known.
Further observations are required before such an assertion can be made with confidence.
We showed that comets, although seemingly providing a potential observational vehicle
for investigating the Pioneer effect, are by no means ideal for this purpose. Although
possessing many of the qualities that made asteroids useful, for example, because they have
a large mass and are large and bright enough to observe for possibly satisfactorily long
intervals.
However, comets possess many characteristics that make them marginal candidates for
this purpose. Generally, comets are of small size and have a low albedo. They are bright
only when they are close to the Sun and non-gravitational forces (NGF) come into play
in this regime. This makes comets difficult to observe at distances from the Sun where
the Pioneer effect plays a role. Also problematic is the fact that comets can be extended
sources. Locating the center of light of a comet image can present more problems than
presented by asteroids.
It is interestng to note that the impact of the Pioneer effect on the motion of comets is of
the same order as that rectified by NGF–several days difference in orbital period. In terms
of the existence of the Pioneer effect, perhaps the most important thing comets have to say
is that if the Pioneer effect exists, the impact on the motion of comets would not contradict
the physically well-motivated NGF model. Although the NGF model parameters would
have to change, the changes would result in model parameter values that are completely
reasonable.
Notwithstanding the poor prospects of comets providing astrometric data showing the
215
existence or non-existence of the Pioneer effect, they do have some interesting characteristics. An analysis of distant observations might provide insight over time into variations
in their motion, especially as target comets approach aphelion. ESO observations also provided the provocative result that comet 1P/Halley is approximately 1.4 seconds of arc from
its expected ephemeris position at the time of the observations. The idea that perturbations
like the Pioneer effect could contribute to this discrepany is worthy of further investigation.
Another issue that might be worthy of further investigation is the orbit of comet
109P/Swift-Tuttle. Because of its brightness, Swift-Tuttle is assumed to be large. Its
NGF parameters are also zero. The idea of a large comet with substantial outgassing flies
in the face of the physical justification for the NGF. The idea that Swift-Tuttle’s outgassing
causes NGF that fortuitously change the orbital period in the right way to make NGF seem
to be nonexistent is provocative. However, the idea that the Pioneer effect could imply that
Swift-Tuttle is a less unusual body is worthy of further research.
Finally, we explored the impact of high observation cadences on our ability to use astrometry to investigate gravity in the outer Solar System. We determined that moderately high
cadences (e.g., one observation per month) provide a way to distinguish between Newtonian
gravity and gravity perturbed by an additional small, radial, constant acceleration such as
the Pioneer anomaly. Observations beginning when the object is in the perturbation region
can detect a positional difference at the 95 percent confidence level in approximately five
to eight years, depending upon orbit characteristics. Similarly, for objects that transition
between the perturbed and unperturbed regions, an observation period of approximately
ten to 30 years is required.
However, this lengthy period is dependent upon our assumption that the observations
began at each object’s perihelion. This implies quite a long observation arc before the
objects even enter the perturbation region. If we subtract out that initial arc inside the
20 AU boundary, the observation interval required to detect positional differences in these
transitional objects is approximately one to eight years.
The upcoming advent of observational instruments such as Pan-STARRS and LSST
216
show every prospect of leading to a realistic possibility of testing the inverse square law
of gravity in the outer Solar System. These observation systems, with their very high
observation cadences, will completely obviate the difficulties associated with obtaining large
amounts of telescope time in which to conduct this type of observation program. Finally,
an additional factor associated with this method of assessing gravity with LSST and PanSTARRS deals with the use of ensembles of objects. The large number of candidate objects
that should be discovered by these instruments will provide such a volume of data that
the statistics will be driven to determine dynamic variations associated with gravity more
quickly than possible with the single object investigated here. Together, these factors may
lead to a significant enhancement in our ability to test the inverse square law of gravity at
intermediate distance scales.
12.1.2
Dark Matter Capture
In considering the capture of Galactic dark matter into Solar orbit by means of a weak
interaction with Solar matter, we investigated the major features of the orbits of captured
dark matter particles. As far as the main objectives of this dissertation were concerned,
virtually no dark matter is scattered into orbits that can extend out to the distances where
the Pioneer effect has been observed. Thus, we must say that this mechanism cannot be
the cause of the Pioneer effect.
In retrospect, this is understandable. If we consider the likelihood of a dark matter
particle of positive energy scattering into a different energy state, and ask what is the
likelihood that that post-scattering energy is of a magnitude sufficient to reach into the
outer Solar System, we find that likelihood to be low.
The impact of multiple scattering is unknown at present. However, preliminary information suggests that many captured dark matter particles will be expelled from the Solar
System in subsequent scatterings. It would remain unlikely, though, that these subsequent
scatterings would put dark matter far enough from the Sun to contribute to the Pioneer
effect.
217
Gravitational capture of Galactic dark matter by means of three body interactions
between the Galactic barycenter, the Sun, and dark matter particles does not seem to be
capable of producing enough captured matter to generate a Pioneer effect. What capture
does occur is temporary and would be at substantially greater distances from the Sun than
is necessary to match the characteristics of the Pioneer effect.
This conclusion, however, is based on attacking the problem with the methods of the
circular restricted three body problem and its special case, the Hill problem. The underlying
assumption that the small body is so small as to have no impact on the motion of the
primaries is of great import. In particular, since the primaries do not move from their
keplerian orbit about one another, neither energy nor angular momentum is conserved. As
it happens there is a conserved quantity, the Jacobi constant, but as a single integral of the
motion, it does not provide enough information to produce a general solution.
There is no possibility of permanent capture via the circular restricted three body problem in the absence of some form of energy dissipation. Various mechanisms are periodically
proposed that are seemingly appropriate in particular circumstances, but external dissipation is imposed nonetheless. In the circular restricted three body problem there is no
inherent mechanism that can dissipate energy.
However, a close look at the dynamics of the three body interaction might provide a
means for energy dissipation. This is a matter for future research.
12.2
Impact of Dissertation
The dissertation deals with a number of fundamental astrophysical questions and issues
that illustrate the importance of the overall problem area addressed:
• Does Newtonian gravity really operate at intermediate scales?
• Does dark matter really exist?
• If so, what are the parameters describing its distribution in the Galaxy?
218
• Why does there seem to be no Pioneer-like effect in the inner Solar System?
• Are there differences in the dynamics of bound and unbound orbits?
Although not directly addressing all these issues, the work accomplished in this dissertation should have a significant impact because of its application of new approaches to the
problems of determining whether the Pioneer effect exists and whether dark matter can be
a cause. Independent of the fact that dark matter does not appear capable of causing the
Pioneer effect, minor planets can provide an alternative approach to determining the reality
of the Pioneer effect. At this writing, we have published three papers on these matters that
directly come from the dissertation research, and another that represents a related concept.
More papers are expected.
In particular, we have accomplished the following:
• We have explored the feasibility of using asteroids to determine if Pioneer effect exists.
This work has been published in The Astrophysical Journal (Page et al., 2006). It
was also presented orally to the 207th meeting of the AAS (Page et al., 2005).
• We have investigated whether the outer planets could be used in a similar fashion.
This work has been accepted by The Astrphysical Journal and is scheduled to appear
in the 1 June 2009 issue (volume 697).
• We have evaluated the feasibility of using comets to determine the existence of the
Pioneer effect.
• We have looked at the likely impact of LSST and Pan-STARRS in terms of providing
a large database for investigating gravity in the outer Solar System.
• We have determined that capture of dark matter into Solar orbit by means of a weak
interaction with Solar matter is not a feasible cause of the Pioneer effect.
• We have found that capture of dark matter into Solar orbit by means of three body
interactions bewteen the Galactic barycenter, the Sun, and the dark matter particle
cannot cause the Pioneer effect.
219
Methodologically, the approach utilized here is new because virtually all investigators
of gravity are either operating at very small (e.g., laboratory) or very large (e.g., galactic
or galaxy cluster) scales. Although the Pioneer effect is often viewed as being a potential
test of gravity at intermediate scales, the use of minor planets and other similar bodies had
not heretofore been explored.
Generally speaking, theorists considering gravity at these scales are operating in an
empirical vacuum. The approach proposed here offers a vehicle for obtaining some useful
observational data in an alternative way and in a shorter time frame than required for
spacecraft, dedicated or otherwise.
The overall thrust of the dissertation, coupled with this initial application area of studying the possibility that dark matter is the cause of the Pioneer effect is of great current
interest. If for no other reason than this current interest, studying the consequences of such
ideas provided an excellent motivation for the work.
The idea of searching for observational evidence for and consequences of dark matter at
Solar System scales is interesting because dark matter is often assumed to exist without a
lot of criticism of its problems as a concept. Observationally and theoretically, gravity in
the Solar System remains one of the more significant in astronomy and astrophysics, tied
as it is to the intersection of our knowledge of gravity at laboratory and Galactic scales.
The dissertation offers an opportunity to find out more about the empirical reality of dark
matter in the Galaxy.
12.3
Future Research Areas
This dissertation shows that the goal of using astrometry to investigate gravity in the outer
Solar System is one that could profitably be explored.
Interestingly, the relatively near-term commencement of operations of the LSST and
Pan-STARRS will further this end by likely discovering many additional candidates for
observation. The whole idea of conducting observations of minor planets at large distances
from the Sun is one that is generally not pursued. Typically, unless there is a chance of
220
an Earth impact, once enough observations of an object are obtained to reasonably well
characterize its orbit, further observations are not conducted. Thus, the suggestion that
the orbits be followed at larger heliocentric radii is one that represents a new opportunity
and justification for observing these objects.
Further observations of outer Solar System objects, and the analysis of that data should
undergo a renaissance with the advent of LSST and Pan-STARRS. The wealth of data
produced by these instruments will provide the capability of applying statistical techniques
to the approach taken here. A meta-analysis of observations of multiple objects could bear
significant fruit.
The orbits of many asteroids whose observation arcs are currently very short will be
improved immensely as well.
Further analysis of existing comet observations might also be interesting. Two major
candidates are 1P/Halley and 109P/Swift-Tuttle. The former has observations now going
out to 28 AU and shows an enticing discrepancy between its measured and predicted locations. The latter is unique in that its NGF parameters are zero, which seems at variance
to its brightness and assumed size. Investigation of the possibility that the Pioneer effect
impacts its orbit would be of great interest.
Additionally, even though attempting to explain the Pioneer effect through the capture
of dark matter into Solar orbit is not feasible, issues associated with that analysis point the
way to two areas of future research.
First, the impact of multiple scatterings between dark matter and Solar nuclei would
have great interest. The possibility that these multiply scattered objects could not contribute to causing the Pioneer effect should not be discounted, but the impact of multiple
scatterings on the density of captured dark matter in the Sun is of great interest to people
concerned with the design and conduct of direct dark matter detection experiments.
Secondly, the idea that approaches other than that of the circular restricted three body
problem might provide additional insight into three body capture is provocative. There
are a number of areas where such an analysis might be significant. Some of these include
221
planetary accretion, the acquisition of irregular satellites by planets, the “fly-by anomaly,”
and others.
All these areas seem fruitful to pursue in the future.
12.4
Final Remarks
The importance of this work is seen in the continued strong interest in the Pioneer effect
and its underlying causes. Even if the Pioneer effect can be shown to be due to one or more
of the multitude of systematic effects that are currently not well understood, the likely
outcome of such a finding would be recognition that greater care is needed in characterizing
spacecraft destined for high precision missions. Thus, this endeavor would be worthwhile
to engineers and others on its own merits.
However, if the Pioneer effect were shown to exist, at the very least it would lead to
greater interest in understanding the mass density in the outer Solar System. Potentially,
it could lead to the opening of entirely new vistas in gravity theory. These possibilities,
however unlikely, are the engine driving current interest in the Pioneer effect. In this
dissertation, I discuss a new vehicle for obtaining observational information on the Pioneer
effect that can guide theorists now and provide a complimentary view of the phenomenon
as space-based measurements take place in the future. This process fosters the important
empirical end that we continue to explore all possibilities until either the Pioneer effect is
ruled out or its origin is found.
Thus, this dissertation addressed important issues in astronomy and astrophysics, was
observationally well founded, has uncovered new and unique aspects of the natural world,
and has already resulted in a number of papers that have been cited repeatedly. Finally,
the work accomplished in the dissertation has pointed the way to further research areas,
surely a mark of a successful endeavor.
f inis
222
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223
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Curriculum Vitae
Gary Page was born and raised in northern New Jersey, where a stable home environment
encouraged learning, curiosity, and education. He originally set out on a path to academia,
but after Bachelor’s, Master’s, and ABD degrees in physics he lost his path for reasons
now neither clear nor important. After more than thirty years of modeling and analysis
in a broad range of defense-related issues, most recently involving perception testing and
modeling, he found his path again and hopes to finish his working life teaching at the college
level and doing research.
234