SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library—First Release

Yan, Renbin; Chen, Yan Ping; Lazarz, Daniel; Bizyaev, Dmitry; Maraston, Claudia; Stringfellow, Guy S.; McCarthy, Kyle; Meneses-Goytia, S.; Law, David R.; Thomas, Daniel; Barroso, Jesús Falcón; Sánchez-Gallego, José R.; Schlafly, Edward F.; Zhang, Zheng; Argudo-Fernández, M.; Beaton, Rachael L.; Beers, Timothy C.; Bershady, Matthew A.; Blanton, Michael R.; Brownstein, Joel R.; Bundy, Kevin; Chambers, K.; Cherinka, Brian; Lee, Nathan De; Drory, Niv; Galbany, L.; Holtzman, Jon A.; Imig, Julie; Kaiser, Nick; Kinemuchi, Karen; Liu, Chao; Luo, A-Li; Magnier, E. A.; Majewski, Steven R.; Nair, Preethi; Oravetz, Audrey; Oravetz, Daniel; Pan, Kaike; Sobeck, Jennifer; Stassun, Keivan G.; Talbot, Michael S.; Tremonti, Christy; Waters, C.; Weijmans, Anne-Marie; Wilhelm, Ronald; Zasowski, Gail; Zhao, Gang; Zhao, Yaqian

doi:10.3847/1538-4357/ab3ebc

Cited by 94 publications

(64 citation statements)

References 104 publications

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“…The spectra comprising the library are marked with a series of quality flags fully described in Yan et al (2019). For population synthesis purposes, we apply further selections as will be described in Section 3.1.…”

Section: The Mastar Library Of Empirical Stellar Spectramentioning

confidence: 99%

“…The spectral resolution can vary between each star and each observation and, thus, we show here the median resolution per wavelength from all 908 stars that entered the models 12 . We refer to Yan et al (2016Yan et al ( , 2019 for details about the determination of the line spread function of stellar spectra in MaStar. The comparison in Fig.…”

Section: The Wavelength-dependent Spectral Resolutionmentioning

confidence: 99%

“…In this paper we present the first MaStar-based stellar population models, enabled by the first release of MaStar spectra (Yan et al 2019). This release includes 8646 spectra (corresponding to 3321 individual Milky Way stars) andalready at this stage -it is an order of magnitude larger than the state-of-the-art empirical stellar library for population synthesis models, MILES Sánchez-Blázquez et al (2006), comprising ⇠ 900 spectra.…”

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confidence: 99%

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Stellar population models based on the SDSS-IV MaStar library of stellar spectra – I. Intermediate-age/old models

Maraston

Hill

Thomas

et al. 2020

Monthly Notices of the Royal Astronomical Society

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ABSTRACT We use the first release of the SDSS/MaStar stellar library comprising ∼9000, high S/N spectra, to calculate integrated spectra of stellar population models. The models extend over the wavelength range 0.36–1.03 µm and share the same spectral resolution ($R\sim 1800$) and flux calibration as the SDSS-IV/MaNGA galaxy data. The parameter space covered by the stellar spectra collected thus far allows the calculation of models with ages and chemical composition in the range $\rm {\mathit{ t}\gt 200 \,Myr, -2 \lt = [Z/H] \lt = + 0.35}$, which will be extended as MaStar proceeds. Notably, the models include spectra for dwarf main-sequence stars close to the core H-burning limit, as well as spectra for cold, metal-rich giants. Both stellar types are crucial for modelling λ > 0.7 µm absorption spectra. Moreover, a better parameter coverage at low metallicity allows the calculation of models as young as 500 Myr and the full account of the blue horizontal branch phase of old populations. We present models adopting two independent sets of stellar parameters (Teff, log g, [Z/H]). In a novel approach, their reliability is tested ‘on the fly’ using the stellar population models themselves. We perform tests with Milky Way and Magellanic Clouds globular clusters, finding that the new models recover their ages and metallicities remarkably well, with systematics as low as a few per cent for homogeneous calibration sets. We also fit a MaNGA galaxy spectrum, finding residuals of the order of a few per cent comparable to the state-of-art models, but now over a wider wavelength range.

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Section: The Mastar Library Of Empirical Stellar Spectramentioning

confidence: 99%

Section: The Wavelength-dependent Spectral Resolutionmentioning

confidence: 99%

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confidence: 99%

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Stellar population models based on the SDSS-IV MaStar library of stellar spectra – I. Intermediate-age/old models

Maraston

Hill

Thomas

et al. 2020

Monthly Notices of the Royal Astronomical Society

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“…Briefly, we constructed the target list of MaStar from stars previously observed by several large stellar surveys, i.e., APOGEE-1, APOGEE-2 (Majewski et al 2017), SDSS/Sloan Extension for Galactic Understanding and Exploration (SEGUE; Yanny et al 2009), and Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST; Cui et al 2012;Deng et al 2012;Zhao et al 2012). For fields without a sufficient number of stars with existing stellar parameters from the literature, we also estimated stellar parameters for millions of stars using PanSTARRS1 (Chambers et al 2016) and APASS, 12 as described in Yan et al (2019).…”

Section: Introductionmentioning

confidence: 99%

“…Upon completion of the MaStar survey in 2020, at the end of SDSS-IV, the MaStar library will contain of order 10,000 unique stars. MaStar DR1 (Yan et al 2019) is part of the SDSS DR15 and is publicly available at https://www. sdss.org/dr15/mastar/.…”

Section: Introductionmentioning

confidence: 99%

Stellar Parameters for the First Release of the MaSTar Library: An Empirical Approach

Chen

Yan

Maraston

et al. 2020

ApJ

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We report the stellar atmospheric parameters for 7503 spectra contained in the first release of the Mapping Nearby Galaxies at Apache Point Observatory survey (MaNGA) stellar library (MaStar) in Sloan Digital Sky Survey DR15. The first release of MaStar contains 8646 spectra measured from 3321 unique stars, each covering the wavelength range 3622-10354 Å with a resolving power of R∼1800. In this work, we first determined the basic stellar parameters: effective temperature (T eff), surface gravity (log g), and metallicity ([Fe/H]), which best fit the data using an empirical interpolator based on the Medium-resolution Isaac Newton Telescope library of empirical spectra (MILES), as implemented by the University of Lyon Spectroscopic analysis Software package. While we analyzed all 8646 spectra from the first release of MaStar, since MaStar has a wider parameter-space coverage than MILES, not all of these fits are robust. In addition, not all parameter regions covered by MILES yield robust results, likely due to the nonuniform coverage of the parameter space by MILES. We tested the robustness of the method using the MILES spectra itself and identified a proxy based on the local density of the training set. With this proxy, we identified 7503 MaStar spectra with robust fitting results. They cover the range from 3179 to 20,517 K in effective temperature (T eff), from 0.40 to 5.0 in surface gravity (log g), and from −2.49 to +0.73 in metallicity ([Fe/H]).

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Analysis of Stellar Continua

2021

The Observation and Analysis of Stellar Photospheres

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SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library—First Release

Abstract: Corresponding author: Renbin Yan

Cited by 94 publications

References 104 publications

Stellar population models based on the SDSS-IV MaStar library of stellar spectra – I. Intermediate-age/old models

Stellar population models based on the SDSS-IV MaStar library of stellar spectra – I. Intermediate-age/old models

Stellar Parameters for the First Release of the MaSTar Library: An Empirical Approach

Analysis of Stellar Continua

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