GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L23103, doi:10.1029/2009GL041030, 2009 Plasma mass loading from the extended neutral gas torus of Enceladus as inferred from the observed plasma corotation lag D. H. Pontius Jr.1 and T. W. Hill2 Received 17 September 2009; revised 25 October 2009; accepted 29 October 2009; published 2 December 2009. [1] At Saturn, significant plasma mass loading and radial transport occur together throughout the extended neutral torus, both producing corotation lags. We present a theory that depends upon the ratio of two classes of process: those injecting new mass (simple ionization) and those effectively removing momentum without changing plasma mass density (elastic ion-neutral collisions, like-species charge exchange). Both induce ionospheric torques, but only the former increases total outward mass flux. From an observed angular velocity, our model calculates the distribution of mass loading with radial distance. We present solutions based on Cassini Plasma Spectrometer measurements and theoretical chemistry models for Saturn’s magnetosphere. We find a pronounced interaction peak near Enceladus’ orbit and a broad ionization region between 5 and 8 Saturn radii (Rs). The total mass outflux at 8Rs is 100 kg/s (S/0.1 S), where S is Saturn’s ionospheric Pedersen conductance. The reported decrease in lag beyond 8Rs requires that S 6¼ const or reducing the total mass outflux. Citation: Pontius, D. H., Jr., and T. W. Hill (2009), Plasma mass loading from the extended neutral gas torus of Enceladus as inferred from the observed plasma corotation lag, Geophys. Res. Lett., 36, L23103, doi:10.1029/2009GL041030. 1. Introduction [2] Plasma injection and outflow have important dynamical consequences in a magnetosphere where ionospheremagnetosphere coupling is strong enough to enforce a degree of corotation between magnetospheric plasma and the planet itself. The strength of this coupling depends on the difference between the angular velocities of the magnetosphere and atmosphere. In the absence of competing dynamical processes and given sufficient time, the magnetosphere and ionosphere would eventually come into corotation with each other. Both radial plasma transport and interaction with a collocated neutral gas population lead to changes in the plasma’s rotation rate, which trigger coupling with the ionosphere that opposes the departure from corotation. In a steady state, the radial profile of angular velocity depends on a balance between the rate at which the ionosphere can supply angular momentum and the rate at which mass is injected, moves radially, and interacts with neutral gas. 1 Department of Physics, Birmingham-Southern College, Birmingham, Alabama, USA. 2 Department of Physics and Astronomy, Rice University, Houston, Texas, USA. Copyright 2009 by the American Geophysical Union. 0094-8276/09/2009GL041030 [ 3 ] Hill [1979] examined how rotational dynamics depend on outward transport, neglecting any local sources of new mass or ion-neutral collisions. His approach balanced the rate of angular momentum addition in the magnetosphere with the planet’s capability to exert the required torque, which depends upon the magnetic field and Pedersen conductance S in the ionosphere (see Hill [1979, equation 12] for details). Under steady conditions, the plasma’s angular velocity declines monotonically with increasing distance from the planet. For a spin-aligned dipole magnetic field, the solution depends simply on radius scaled by a single parameter determined by the rate of mass transport divided by the ionospheric Pedersen conductance. This approach does not depend on the nature of the transport process, except to assume that the simple azimuthal average of radial velocity maintains a constant ratio to the mass-outflux-weighted average [Vasyliūnas, 1983; Pontius, 1997]. The electrical currents coupling the ionosphere to the magnetospheric plasma were not treated explicitly by Hill’s paper, though some later works have reproduced his result using that approach [e.g., Vasyliūnas, 1983; Cowley et al., 2002]. The methods are entirely equivalent. [4] Pontius [1997] extended Hill’s [1979] formalism to non-dipolar magnetic fields that are still symmetric about the spin axis. He demonstrated that the radial profile of angular velocity is not significantly changed when magnetic field lines are stretched out radially in the manner inferred from spacecraft measurements at Jupiter. Later work has shown that this stretching does have important consequences for the ionospheric location and magnitude of the Birkeland (magnetic-field aligned) coupling currents and resulting auroral emissions [Cowley et al., 2002]. However, these do not appear to require field-aligned potential drops large enough to alter the flow solution substantially [Nichols and Cowley, 2005]. [5] The above models are applicable at Jupiter outside the Io plasma torus, where approximately a ton of new plasma is injected each second. Pontius and Hill [1982] showed that the ongoing need to accelerate that new material requires a persistent lag from corotation of about 4%, as observed by Brown [1994]. About three quarters of that mass loading takes place through charge exchange, which ionizes a slow neutral while neutralizing a fast ion. The former must be accelerated, while the later is ejected ballistically as a fast neutral, and the net plasma density remains unchanged for particles of the same species. The remaining mass injection takes place though processes such as electron impact ionization, which increases the plasma density and contributes to outward transport. [6] Those mathematical models are applicable separately in regions where either mass transport or mass loading is significant, but not both. This presents a complication at L23103 1 of 5 L23103 PONTIUS AND HILL: PLASMA LOADING FROM ENCELADUS’ NEUTRALS L23103 Saturn, where both processes are expected to contribute significantly in the same region of space [e.g., Eviatar and Richardson, 1986; Saur et al., 2004]. Here, we develop an analytic formalism relating the angular velocity profile to coincident mass loading and transport. We apply this method to Cassini observations of plasma velocity at Saturn combined with theoretical estimates of parameters describing chemical interactions among particles. conductivity. It also includes both hemispheres in parallel. [9] From a specified profile of the distribution of mass loading, one can solve (3) for the resulting angular velocity. Alternatively, we can adopt the opposite approach and calculate the distribution of mass loading from an observed angular velocity profile. In either case, m(L) appears as an input determined from considerations of particle populations and their chemistry. 2. Mathematical Derivation 3. Deriving the Source From Observed Angular Velocities [7] We will assume that plasma is confined close to the equator so that the distance to the spin axis varies negligibly along a magnetic field line. The magnetic field is represented by a spin-aligned dipole of equatorial magnitude Bp, and radial currents in the magnetosphere provide an increase of angular momentum. In a steady state, the torque T exerted per unit L equals the convective time derivative of angular momentum [Hill, 1979] dT d _ dwL2 Mt þ M_ x þ M_ t R2p ¼ ðw wk ÞL2 R2p dL dL dL ð1Þ where L is the equatorial field line crossing distance in units of planetary radius Rp. The first term on the right represents the rate of angular momentum addition required to bring newly injected plasma up to the local plasma angular speed w from the local angular speed wk of a circular Keplerian orbit due to the two distinct types of processes described above. Interactions that change the plasma density, such as electron impact ionization, are quantified by a local source rate dM_ t/dL, and the total outward flux of mass is M_ t(L). In contrast, dM_ x/dL represents processes such as elastic ionneutral collisions and like-species charge exchange where angular momentum must be supplied to the plasma without a net change in plasma density [e.g., Pontius and Hill, 1982; Eviatar and Richardson, 1986; Saur et al., 2004]. These are not mass loading processes per se; rather, dM_ x/dL represents the equivalent mass loading rate associated with a given momentum loading rate. The final term is the angular momentum required to maintain the existing plasma at the ambient angular velocity as it moves outward. [8] To facilitate analysis, define m(L) as the fraction of the mass loading rate that contributes to transport relative to the total rate including charge exchange and elastic collisions, i.e., d _ d _ Mt ¼ m Mt þ M_ x dL dL ð2Þ With this substitution, equate (1) to the torque per unit L by Hill [1979, equation 12]: dT ð1 1=LÞ1=2 dw ¼ 4p S R4p B2p L3 dL 1 d dwL2 ¼ ðw wk ÞL2 R2P M_ t þ M_ t R2p dL m dL ð3Þ where dw = wp w is the lag relative to the planetary rate wp. The appropriate value of S here includes slippage within the neutral atmosphere [Huang and Hill, 1989; Pontius, 1995], so it is less than the true Pedersen [10] If the angular flow velocities w(L) are known from observation, then the distribution of mass loading can be determined. Rearrange (3) to get: 1=2 d _ m 1 dwL2 _ dw 2 2 ð1 1=LÞ M Mt þ ¼ 4p SR B m t p p L5 dL w wk L2 dL w wk ð4Þ The solution is M_ t ð LÞ ¼ 4p SR2p B2p eI ðLÞ ZL meI ðxÞ ð1 1=xÞ1=2 dw dx x5 w wk Li I ð LÞ þe _i M I ð LÞ ¼ ð5Þ ZL m d 2 wx dx ðw wk Þx2 dx ð6Þ Li where M_ i is the net flux of outward moving mass at the lower limit of integration. The local source rates dLM_ t(L) and dLM_ x(L) are then found by differentiation. If no mass is transported, then m = 0 and the source can be determined from the lag directly using (1) and (3), giving 1=2 d M_ x 4p SR2p B2p ð1 1=LÞ dw ¼ dL L5 w wk ð7Þ which is equivalent to Pontius and Hill’s [1982] solution. [11] Wilson et al. [2008, 2009] have presented the radial profile of angular velocity w(L) based on their analysis of Cassini Plasma Spectrometer (CAPS) data. Figure 1 shows their angular velocity data as a fraction of the local corotation speed, along with an eighth-order polynomial fit to those data that we used in our calculations. The radial profiles of mass loading and momentum loading rates follow immediately from those data given a model for m(L). [12] However, a first-principles derivation of m(L) is well beyond the scope of the present paper. Instead, we use reaction rates derived from a model of Saturn’s neutral gas cloud developed by Johnson et al. [2006]. Those authors computed the trajectories of neutrals ejected from a narrow source at the orbit of Enceladus. Using measured or computed cross sections and observed particle fluxes to describe the ion-neutral chemistry, their calculations predicted a narrow torus encircling Saturn around the orbit of Enceladus (L = 3.95) composed mainly of water-group 2 of 5 L23103 PONTIUS AND HILL: PLASMA LOADING FROM ENCELADUS’ NEUTRALS L23103 Figure 1. Angular velocities from CAPS measurements [Wilson et al., 2008, 2009], along with a fitted curve used for the integrations of equations (5) and (6). neutral species. Subsequent charge exchange and other reactive collisions with sub-corotating plasma produced a broader OH torus, in accord with Hubble Space Telescope (HST) observations [Jurac and Richardson, 2005]. Combining this neutral cloud model with empirically-based estimates of the neutral lifetimes against charge exchange and electron-impact ionization, R. E. Johnson (personal communication, 2008) produced the charge exchange and ionization rates shown in Figure 2a. Combining these rates with equation (2), we obtain the discrete values for m(L) shown in Figure 2b. This approach essentially represents all interactions as being between neutrals and ions of the same species, e.g., H2O and H2O+, so that particle masses cancel in (2). This approximation omits possibly relevant interactions between unlike species that would be incorporated into a more complete model, such as charge exchange reactions between O+ and H2O that would change the plasma mass density. However, the fundamental result should be robust, that charge exchange strongly dominates over electronimpact ionization in the region L ] 5, so that only a small fraction of particle interactions there contribute to outward mass transport. [13] The solid curve in Figure 2b is a sigmoidal fit to Johnson’s data that we used in integrating (5) and (6). Our results are shown in Figure 3, assuming zero outflow at an inner computational boundary at Li = 3. While the initial outflow at Li = 3 may not be zero, the resulting profiles for mass loading differ only slightly unless M_ i is comparable to the total mass calculated to be added within the entire integration domain. The peak of the inferred charge exchange rate near L = 3.6 is a direct consequence of the observed peak of the fractional corotation lag near L = 4.2 (Figure 1). The difference in L value between these two peaks results almost entirely (in our model) from the L5 factor on the right-hand side of (4). Because electron impact ionization is strongly suppressed in this region (Figure 3), very little new plasma has accumulated there to move outward, and most of the corotation lag is caused by charge-exchange momentum loading rather than radial transport. Indeed, solutions calculated inside of L = 5 for zero transport using (7) are essentially identical to those shown here. Figure 2. (a) Charge exchange and ionization rates from models of Saturn’s neutral-plasma interactions based on the model of Johnson et al. [2006], the latter multiplied by a factor of ten for clarity. (b) The ratio of net (source minus loss) to gross (total source) mass addition rate based on that model, along with a sigmoidal fit. 4. Discussion [14] The peak of the inferred momentum-loading profile (L 3.6, Figure 3) is well inside of the peak of the observed fractional corotation-lag peak (L 4.2, Figure 1) from which it derived, and this peak displacement is fully explained by the L5 factor in (8). This factor, however, does not explain the displacement between the inferred momentum-loading (charge-exchange) peak near L = 3.6 (Figure 3) and the peak location L = 3.95 expected from Figure 3. Solutions for the mass injection rate from exchange processes and net ionization, the latter multiplied by a factor of ten. 3 of 5 L23103 PONTIUS AND HILL: PLASMA LOADING FROM ENCELADUS’ NEUTRALS Johnson et al.’s [2006] model (Figure 2a). This difference is well outside the combined error bars of the two models and of the underlying data of Wilson et al. [2008, 2009]. It is possible that an asymmetry of the polar plume of Enceladus produces a neutral-density peak inside the orbital radius of Enceladus (L = 3.95), even though Enceladus is clearly the ultimate source for neutrals. This is an interesting area for future research. [15] The inferred broad maximum of electron impact ionization between L 4 and 7 (Figure 3) corresponds roughly with that derived by Johnson et al. [2006] (Figure 2a). Those particles originate near Enceladus as ions that lag corotation sufficiently that, following neutralization by charge exchange, their speed is less than the gravitational escape speed. Increasing their residence time as neutrals in regions with sufficiently hot electrons allows them to be reionized and subsequently transported outward as plasma. Our analysis supports this interpretation because the increase in fractional corotation lag from L 6 to 8 (Figure 1) cannot be accounted for by transport alone with constant M_ t. Johnson’s results from physical chemistry modeling (Figure 2a) are similar to those of our electrodynamic model (Figure 3), both qualitatively as well in overall magnitude. As the two approaches are independent, this agreement provides mutual confirmation for both. [16] Using a constant effective Pedersen conductance S = 0.1 S, these solutions imply a total mass outflux of 100 kg/s near L = 7.5. Beyond that distance, the observed fractional lag begins to decline, which physically implies that either the ionosphere has become more effective at exerting torque or that the magnetosphere is requiring less angular momentum [Pontius, 1997]. The former could arise from an increase in the conductance, here treated as a constant. Such an increase could occur if the effective value is elevated toward the true Pedersen conductivity [Pontius, 1997] or from enhancement of the latter caused by energetic particle precipitation [Nichols and Cowley, 2004]. Alternatively, the total mass transported outward could be reduced by dissociative recombination or by charge exchange between light neutrals and heavy ions. [17] In its present form, our model does not incorporate any of these effects. Variations in conductance can be included with a prescription for S(L), but a net loss of plasma would require modifying our basic formulation. The total mass transported outward in our model is simply the accumulation of the net mass loaded everywhere closer to the planet. Plasma mass addition requires a prograde torque, but a net loss of plasma mass does not produce a torque in the opposite sense. However, the first term on the right side of (1) being negative would imply just that; this term should include local plasma sources but not losses. Physically, ionizing a neutral requires giving it the momentum it needs to attain plasma speed, but neutralizing an ion does not return its momentum to the plasma. Its momentum is carried away by the escaping neutral. Hence, the negative values of mass loading inferred for L ^ 8 indicate that our solutions are not physical in that region. Future work on this analysis will include a more thorough investigation of the particle interactions determining m(L), which may include net mass loss. Expanding the model to include the possibilities described above is not presently justified given the lack of specific information available about these processes at this time. L23103 [18] To gain insight about the magnitude of these omitted factors, we assume that mass loading is zero in this region so that the lag is accounted for by transport alone. Setting the first term on the right side of (3) equal to zero, we use the observed angular velocity profile to calculate the implied ratio M_ t /S as a function of distance. That calculation (not shown here) shows a monotonic reduction of M_ t /S by a factor of roughly 4 from L = 7.5 to 10. Hence, either decreasing the mass outflow rate or enhancing the Pedersen conductance by that amount (or a combination of the two) would account for the data. It is worth noting that, using the peak value of M_ t /S, we calculate that Lo 8, where Lo is the distance [Hill, 1979] at which corotation breaks down due to radial transport alone [Krupp et al., 2007]. The same value was derived by Eviatar and Richardson [1986] from Voyager observations. 5. Conclusion [19] The analysis presented here predicts the spatial distribution of plasma injection from the observed azimuthal velocity. In that, it is similar to our previous analysis [Pontius and Hill, 1982], but the present approach determines what part of the corotation lag is caused by local injection and what is cause by outward transport. Our model depends on the results of models of particle interactions, and one could calculate the source rates directly from a sufficiently extensive and detailed model, at least in principle. However, our approach only requires knowing the relative effectiveness of ionization and exchange processes averaged within each magnetic shell. The lag from corotation between L = 3 and 5 is mainly caused by charge exchange and elastic ion-neutral collisions, which peak in intensity slightly inside of Enceladus’ orbit. The net amount of new mass added there and transported outward is relatively small, which is why the angular velocity starts to recover toward corotation between 4 and 5.5. However, continued mass loading throughout the extended neutral torus eventually increases the total mass outflux until the lag due to transport becomes substantial, which explains the decline in angular velocity outside of L = 5.5. The decrease in lag beyond L = 8 is surprising and not explained by the present model. [20] Acknowledgments. We are indebted to R. E. Johnson for providing pre-publication model results incorporated in Figure 2 and to R. J. Wilson for providing pre-publication data incorporated in Figure 1. 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