Galactic stellar abundances: current status and open questions

Lithium abundances and isotope ratios,
and troublesome stellar atmospheres
Sean G. Ryan
School of Physics, Astronomy and Mathematics
University of Hertfordshire
Principal collaborators
Ana García Pérez(UH/Virginia), Adam Hosford(UH), Andy Gallagher(UH)
Wako Aoki (NAOJ), Keith Olive (Minnesota), John Norris (ANU)
Structure of this talk
Two halo-star lithium problems (7Li and 6Li)
Effective temperature scales
Line profiles in 1D LTE, 1D NLTE, and 3D
NGC 4414:
Hubble Heritage Team (AURA/STScI/NASA) + Hack/Ryan (OU)
[email protected]
1
Lithium problem #1: 7Li
• Measurements of CMBR by WMAP
give baryon density fraction
Bh2 = 0.0224±0.0009
(Spergel et al. 2003).
• BBN depends on B.
WMAP in excellent agreement
with B derived from 2H/1H.
• Uncomfortable discrepancy
for 7Li:
the “Lithium problem”
Coc & Vangioni (2005)
2
Lithium problem #1: 7Li
Several explanations offered to explain WMAP discrepancy
• intriguing particle physics possibilities
(failure of SBBN model):
– survival of metastable particles
for a few ×103 s, i.e. during BBN
Bird, Koopmans & Pospelov 2007,hep-ph/0703096:
X- + 7Be → 7BeX- ;
7BeX- (p,γ) 8BX- → 8BeX- + β+ + ν
e
Pospelov, M. 2007, hep-ph/0712.0647:
X- + 4He → 4HeX- ;
+4He → 8BeX- ;
8BeX- + n → 9BeX-* → 9Be + X-
– decay or annihilation of massive
supersymmetric particle,
modifying 7Li and 6Li production
Jedamzik 2004
3
Lithium problem #1: 7Li
Several explanations offered to explain WMAP discrepancy
• stellar destruction possibilities:
– Have some stars partially
destroyed 7Li?
• mundane possibilities:
Did we get the abundances wrong?
– Large uncertainty in low-Z
colour-effective-temperature scales
– E.g. comparison between
“cool” Ryan et al (2001) and
“hot” Melendez & Ramirez (2004)
Teff scales shows difference
of up to 400K for [Fe/H] < -3
– ΔTeff ≈ +400 K → ΔA(Li) ≈ +0.3 dex; close to discrepancy
4
Lithium problem #1: 7Li
• PhD: Adam Hosford
Effective temperature
scale for metal-poor stars:
• Use T-dependence of
Fe I LTE level populations:
Boltzmann factor exp-(χ/kT)
• Attention to error propagation
– Uncertainty in χ vs A(Fe) slope
being nulled
~ 60-80 K
– evolutionary state weakly
constrained
~ 12-24 K
– uncertainty in ξ ~ 30-90 K
(wrong physics anyway → 3D)
5
T(Ryan)
• Hosford: Fe I LTE
level populations
• Asplund et al. 2006:
Hα Balmer profile fits
• Melendez & Ramirez:
IRFM
• T,LTE similar to R01, A05
T(Asplund)
Lithium problem #1: 7Li
T(Hosford)
T(Hosford)
• Asplund’06 analysis:
– A05 in good agreement with b-y and
V-K IRFM of Nissen et al. (‘02,’04):
ΔTeff = -34 ± 95 K
– cooler than “hot” MR04 scale:
ΔTeff = 182 ± 72 K @ [Fe/H] < -2.6).
T(MR05)
Hosford, Ryan, Garcia Perez, Norris & Olive 2009, A&A, 493, 601
T(Hosford)
6
Lithium problem #1: 7Li
• Tχ,LTE assumes LTE Fe I level populations
• LTE holds at τcontinuum > 1, but lines form at τcontinuum < 1
• NLTE difficult to calculate reliably
– Collisional excitation very uncertain
• Collisions with hydrogen parametrized via SH (= 0.001? 1?)
– Model atom incomplete
• Ideally calculate populations and radiative & collisional transition
rates (need all oscillator strengths) for all levels (populations coupled
by radiative and collisional transitions), but ...
• ... our/Collett model atom contains just 524 levels for Fe I, II and III;
cf. NIST lists 493+578+567 levels for Fe I+II+III
•
–
–
Confucius say:
“Stay away from NLTE, and you can have a nice life.”
F. Thevenin, c.2000
7
Lithium problem #1: 7Li
• Previous calculations at low Z point to overionisation as
major effect: underpopulates Fe I levels relative to LTE
e.g. Asplund et al. (1999, A&A, 346, L17; 2005 ARAA, 43, 481, §3.7)
– transparent layers with τcontinuum < 1 see photons from
deep/hot atmosphere, so photon intensity Jν > local Bν.
UV photons photoionise excited Fe I states.
• Additional factors: lack of collisions at τcontinuum < 1
– reduces collisional excitation of excited levels
compared to what local T suggests via Boltzmann
(i.e. populations not in thermal equilibrium with local temperature)
• Net result: excited level populations lower than in LTE;
Assess -dependence using MULTI calculations ...
8
Lithium problem #1: 7Li
b ≡ nNLTE/nLTE
(SH = 1)
• NLTE effects clearly depend on χ
• χLTE vs A(Fe) affected by NLTE, hence Tχ, LTE affected by NLTE
• Calculations vary from star to star, but (for six stars):
T,NLTE ~ 110-160 K hotter than R01, A05,
~ 190 K cooler than MR04
Hosford, García Pérez, Collet, Ryan, Norris, Olive, 2010, A&A, 511, 47
9
Lithium problem #2: 6Li
•
6Li
isotope shift = 0.15 Å; same as fine structure splitting
• Adds a little asymmetry to asymmetric line ... as does convection
– but hard to model in 3D
Cayrel ,et al. (incl. Ludwig), 2007, A&A, 473, 37
•
•
•
6Li
< 0.00001 ppb in standard bbn
Serpico et al. 2004
6Li not produced in stars: no stable A = 5 or 8 nuclei
6Li produced via galactic cosmic ray (GCR) spallation
– In Pop I alongside 9Be and 10,11B;
Steigman & Walker 1992, ApJ, 385, L13;
Boesgaard et al. 1999, AJ, 117, 1549 (BDKRVB)
•
6,7Li
at low Z via 4HeISM + αGCR
Yoshii et al. 1997, ApJ, 485, 605 (YKR)
Duncan et al. 1997, ApJ, 488, 338 (DPRBDHKR)
destroyed in stars in (p,α) reactions
– S-factor = 3140 keV barns for 6Li(p,3He)4He Elwyn et al. 79, PhysRevC, 20, 1984
– S-factor = 55 keV barns for 7Li(p,4He)4He Pizzone etal. 03, A&A, 398, 423
7Li(p,α)4He ~2.6×106 K
– 6Li(p,α)3He ~2.0×106 K
Survives (if at all) in warmest low-Z stars
Brown & Schramm 88, ApJ, 329, L103
10
Lithium problem #2: 6Li
Aoki et al. 2004, A&A, 428, 579 (AIKRSST)
•
•
S/N = 1000
R = 90000
6Li/7Li
= 0.00, 0.04, 0.08
11
Lithium problem #2: 6Li
Two major results from
Asplund et al. 2006:
• Abundance high
compared to models
that are consistent
with spallative 9Be,
10,11B, especially if
depletion allowed for.
• Trend with [Fe/H]
looks like plateau,
unlike strong [Fe/H]
dependence of
models.
12
Lithium problem #2: 6Li
Subaru/HRS data on 5 stars.
Isotope ratio VERY sensitive
to systematic uncertainties:
e.g. macroturbulent width,
wavelength shifts,
continuum errors,
flat field errors,
7Li abundance
fair choices → uncertainties
Δ(6Li/7Li) ~ 3-4%
García Pérez, Aoki, Inoue, Ryan, Suzuki, & Chiba,
2009, A&A, 504, 213
13
Lithium problem #2: 6Li
VLT observations
Subaru/HRS data
very similar to
Asplund et al.
VLT/UVES data ...
4%
3%
2%
1%
Asplund et al. 2006
... but we are not
confident of our
“detections”
Working at margins of
significance due to
systematic limitations
Troublesome stellar atmospheres
• Barium isotope ratios
– Truran (1981) proposed that at low Z, r-process dominates over sprocess since s-process seeds have low abundance whereas rprocess seeds are made in the SN precursor (based partly on
Spite & Spite (1978) Eu/Ba)
Truran 1981, A&A, 97, 391
Spite & Spite 1978, A&A, 67, 23
– Travaglio et al (1999) numerical GCE simulations confirm
moderate-Z onset of s-process
Travaglio et al. 1999, ApJ, 521, 691
– But ... Magain (1995) found Ba 4554 isotope profile in HD 140283
more like s-process than r-process
Magain 1995, A&A, 297, 686
• Andy Gallagher (PhD thesis with SGR and AEGP):
Use 2 analysis techniques (ex-6Li) to attempt to study
135,137Ba isotopic splitting in low-Z stars
15
Troublesome stellar atmospheres
• Sensitivities: macroturbulent broadening key
(Lambert & Allende-Prieto, 2002, MNRAS, 335, 325)
– Fit via ~90 Fe I lines with WFe ~ WBa 4554
Gallagher, Ryan, Garcia Perez & Aoki, 2010, A&A, 523, A24
Gallagher, Ryan, Hosford, Garcia Perez, Aoki & Honda, 2012, A&A, 538, A118
• Co-add residuals for all Fe I lines to see if any asymmetry
– 4/4 dwarfs show asymmetric red wing ~ 130 mÅ from line core
– Not improved switching ATLAS to MULTI LTE, or LTE to NLTE
– 2/2 giants are symmetric (though still large residuals)
16
Troublesome stellar atmospheres
• Experimented with three formalisms for macroturbulence,
again fitting to ~90 Fe I lines
– Gaussian profile (+ Gaussian instrumental)
– Radial-tangential profile (+ Gaussian instrumental)
– vsini (+ Gaussian instrumental)
• Results:
– vsini :
rarely the best profile
(~ 5% of lines)
– Gaussian macroturbulence:
sometimes the best profile
(~20% of lines)
– Radial-tangential macroturbulence:
most often the best profile
(~80% of lines)
17
Concluding remarks
•
7Li:
temperature scales from colours, IRFM, T,LTE and
T,NLTE suggest 7Li not compatible with BBN/WMAP.
• 6Li: our Subaru data at best only marginally significant;
uncertainties ~3-4% of A(7Li); not significant detections.
• 6Li, Ba & Fe: asymmetries seen in Fe I line residuals
(and Ba II); could also be important for 6Li.
• Radial-tangential macroturbulence better than Gaussian
... but still artificial ... Need 3D atmospheres and radiative
transfer.
• Observation-based challenge for emerging 3D codes:
to reproduce observed shapes of Fe I lines in dwarfs and
giants.
18
Cautionary remark
• 3D modelling (in NLTE) motivated by:
• observed asymmetries in Fe I
• dissatisfaction with  (microturbulence)
• dissatisfaction with  and/or  (macroturbulence)
• realisation that 3D radiative transfer in dynamical
models may better explain line formation and hence
affect interpretation of spectra
• But it may not deliver!
M.Spite, 1997, IAUS, 189, 185
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NGC 4414:
Hubble Heritage Team (AURA/STScI/NASA) + Hack/Ryan (OU)
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