Issue |
A&A
Volume 642, October 2020
|
|
---|---|---|
Article Number | A62 | |
Number of page(s) | 18 | |
Section | Stellar atmospheres | |
DOI | https://doi.org/10.1051/0004-6361/202038650 | |
Published online | 06 October 2020 |
The GALAH Survey: non-LTE departure coefficients for large spectroscopic surveys★
1
Theoretical Astrophysics, Department of Physics and Astronomy, Uppsala University, Box 516,
SE-751 20
Uppsala, Sweden
e-mail: anish.amarsi@physics.uu.se
2
Department of Astronomy, Stockholm University, AlbaNova University Centre,
106 91 Stockholm,
Sweden
3
Max Planck Institute for Astronomy, Königstuhl 17,
69117
Heidelberg,
Germany
4
Instituto de Astrofísica de Canarias,
38205
La Laguna,
Tenerife, Spain
5
Departamento de Astrofísica, Universidad de La Laguna (ULL),
38206
La Laguna,
Tenerife,
Spain
6
Research School of Astronomy and Astrophysics, Australian National University,
Canberra,
ACT 2611, Australia
7
ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D),
Australia
8
Department of Physics and Astronomy, Johns Hopkins University, 3400 N Charles St.,
Baltimore,
MD
21218, USA
9
Observational Astrophysics, Department of Physics and Astronomy, Uppsala University, Box 516,
751 20
Uppsala, Sweden
10
Dipartimento di Fisica e Astronomia, Universitá degli Studi di Firenze, Via G. Sansone 1,
50019
Sesto Fiorentino, Italy
11
INAF/Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5,
50125 Firenze, Italy
12
Centre for Astrophysics Research, Department of Physics, Astronomy and Mathematics, University of Hertfordshire,
Hatfield,
AL10 9AB,
UK
13
School of Physics & Astronomy, Monash University,
Clayton
VIC 3800,
Australia
14
Sydney Institute for Astronomy, School of Physics, A28, The University of Sydney,
NSW
2006,
Australia
15
Australian Astronomical Optics, Macquarie University, 105 Delhi Rd,
North Ryde
211, Australia
16
Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19,
1000
Ljubljana, Slovenia
17
School of Physics, UNSW,
Sydney,
NSW 2052,
Australia
18
Department of Physics and Astronomy, Macquarie University,
Sydney,
NSW 2109, Australia
19
Macquarie University Research Centre for Astronomy, Astrophysics & Astrophotonics,
Sydney,
NSW 2109,
Australia
20
Centre for Astrophysics, University of Southern Queensland,
Toowoomba,
QLD 4350,
Australia
Received:
12
June
2020
Accepted:
20
August
2020
Massive sets of stellar spectroscopic observations are rapidly becoming available and these can be used to determine the chemical composition and evolution of the Galaxy with unprecedented precision. One of the major challenges in this endeavour involves constructing realistic models of stellar spectra with which to reliably determine stellar abundances. At present, large stellar surveys commonly use simplified models that assume that the stellar atmospheres are approximately in local thermodynamic equilibrium (LTE). To test and ultimately relax this assumption, we have performed non-LTE calculations for 13 different elements (H, Li, C, N, O, Na, Mg, Al, Si, K, Ca, Mn, and Ba), using recent model atoms that have physically-motivated descriptions for the inelastic collisions with neutral hydrogen, across a grid of 3756 1D MARCS model atmospheres that spans 3000 ≤ Teff∕K ≤ 8000, − 0.5 ≤log g∕cm s−2 ≤ 5.5, and − 5 ≤ [Fe/H] ≤ 1. We present the grids of departure coefficients that have been implemented into the GALAH DR3 analysis pipeline in order to complement the extant non-LTE grid for iron. We also present a detailed line-by-line re-analysis of 50 126 stars from GALAH DR3. We found that relaxing LTE can change the abundances by between − 0.7 dex and + 0.2 dex for different lines and stars. Taking departures from LTE into account can reduce the dispersion in the [A/Fe] versus [Fe/H] plane by up to 0.1 dex, and it can remove spurious differences between the dwarfs and giants by up to 0.2 dex. The resulting abundance slopes can thus be qualitatively different in non-LTE, possibly with important implications for the chemical evolution of our Galaxy. The grids of departure coefficients are publicly available and can be implemented into LTE pipelines to make the most of observational data sets from large spectroscopic surveys.
Key words: atomic processes / radiative transfer / line: formation / stars: abundances / stars: atmospheres / Galaxy: abundances
Grids of departure coefficients can be found online (Amarsi 2020) or by contacting the lead author directly.
© ESO 2020
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