Issue |
A&A
Volume 668, December 2022
|
|
---|---|---|
Article Number | A21 | |
Number of page(s) | 21 | |
Section | Stellar atmospheres | |
DOI | https://doi.org/10.1051/0004-6361/202243701 | |
Published online | 01 December 2022 |
SDSS-IV MaStar: Stellar parameter determination with continuum-supplemented full-spectrum fitting
1
Department of Physics and Astronomy, University of Kentucky,
505 Rose St.,
Lexington, KY
40506-0057, USA
e-mail: dan.lazarz.mail@gmail.com
2
Department of Physics, The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong S.A.R., PR China
e-mail: rbyan@cuhk.edu.hk
3
New York University Abu Dhabi,
Abu Dhabi
PO Box 129188, United Arab Emirates
4
Institute of Cosmology and Gravitation, University of Portsmouth,
Burnaby Road,
Portsmouth
PO1 3FX, UK
5
Department of Astronomy, New Mexico State University,
Box 30001, MSC 4500,
Las Cruces NM
88003, USA
6
Institute of Cosmology & Gravitation, University of Portsmouth,
Dennis Sciama Building,
Portsmouth
PO1 3FX, UK
7
MTA-ELTE Exoplanet Research Group, ELTE Eötvös Loránd University, Gothard Astrophysical Observatory,
9700
Szombathely,
Szent Imre H. st. 112, Hungary
8
MTA-ELTE Lendület “Momentum” Milky Way Research Group, ELTE Eötvös Loránd University, Gothard Astrophysical Observatory,
9700
Szombathely,
Szent Imre H. st. 112, Hungary
9
Center for Astrophysics and Space Astronomy, Department of Astrophysical and Planetary Sciences, University of Colorado,
389 UCB,
Boulder, CO
80309-0389, USA
10
Department of Physics and Astronomy and JINA Center for the Evolution of the Elements (JINA-CEE), University of Notre Dame,
Notre Dame, IN
46556, USA
11
Apache Point Observatory and New Mexico State University,
PO Box 59,
Sunspot, NM
88349, USA
12
Sternberg Astronomical Institute, Moscow State University,
Universitetskij pr. 13,
Moscow, Russia
13
McDonald Observatory, The University of Texas at Austin,
1 University Station,
Austin, TX
78712, USA
14
Centro de Investigación en Astronomía, Universidad Bernardo O’Higgins,
Avenida Viel,
1497
Santiago, Chile
15
Centro de Astronomía (CITEVA), Universidad de Antofagasta,
Avenida Angamos 601,
Antofagasta
1270300, Chile
Received:
3
April
2022
Accepted:
25
July
2022
Aims. We present a stellar parameter catalog built to accompany the MaStar Stellar Library, which is a comprehensive collection of empirical, medium-resolution stellar spectra.
Methods. We constructed this parameter catalog by using a multicomponent χ2 fitting approach to match MaStar spectra to models generated by interpolating the ATLAS9-based BOSZ model spectra. The total χ2 for a given model is defined as the sum of components constructed to characterize narrow-band features of observed spectra (e.g., absorption lines) and the broadband continuum shape separately. Extinction and systematics due to flux calibration were taken into account in the fitting. The χ2 distribution for a given region of model space was sampled using a Markov chain Monte Carlo (MCMC) algorithm, the data from which were then used to extract atmospheric parameter estimates (Teff, log g, [Fe/H], and [α/Fe]), their corresponding uncertainties, and direct extinction measurements.
Results. Two methods were used to extract parameters and uncertainties: one that accepts the MCMC’s prescribed minimum-χ2 result, and one that uses Bayesian inference to compute a likelihood-weighted mean from the χ2 distribution sampled by the MCMC. Results were evaluated for internal consistency using repeat observations where available and by comparing them with external data sets (e.g., APOGEE-2 and Gaia DR2). Our spectral-fitting exercise reveals possible deficiencies in current theoretical model spectra, illustrating the potential power of MaStar spectra for helping to improve the models. This paper represents an update to the parameters that were originally presented with SDSS-IV DR17. The MaStar parameter catalog containing our BestFit results is available on the SDSS-IV DR17 website as part of version 2 of the MaStar stellar parameter value-added catalog.
Key words: stars: abundances / stars: atmospheres / Hertzsprung–Russell and C–M diagrams / methods: data analysis
© D. Lazarz et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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