Bibcode
Yan, Renbin; Chen, Yanping; Lazarz, Daniel; Bizyaev, Dmitry; Maraston, Claudia; Stringfellow, Guy S.; McCarthy, Kyle; Meneses-Goytia, Sofia; Law, David R.; Thomas, Daniel; Falcon Barroso, Jesus; Sánchez-Gallego, José R.; Schlafly, Edward; Zheng, Zheng; Argudo-Fernández, Maria; Beaton, Rachael L.; Beers, Timothy C.; Bershady, Matthew; Blanton, Michael R.; Brownstein, Joel; Bundy, Kevin; Chambers, Kenneth C.; Cherinka, Brian; De Lee, Nathan; Drory, Niv; Galbany, Lluís; Holtzman, Jon; Imig, Julie; Kaiser, Nick; Kinemuchi, Karen; Liu, Chao; Luo, A. -Li; Magnier, Eugene; Majewski, Steven; Nair, Preethi; Oravetz, Audrey; Oravetz, Daniel; Pan, Kaike; Sobeck, Jennifer; Stassun, Keivan; Talbot, Michael; Tremonti, Christy; Waters, Christopher; Weijmans, Anne-Marie; Wilhelm, Ronald; Zasowski, Gail; Zhao, Gang; Zhao, Yong-Heng
Bibliographical reference
The Astrophysical Journal
Advertised on:
10
2019
Journal
Citations
86
Refereed citations
78
Description
We present the first release of the MaNGA Stellar Library (MaStar), which is a large, well-calibrated, high-quality empirical library covering the wavelength range 3622-10354 Å at a resolving power of R ̃ 1800. The spectra were obtained using the same instrument as used by the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) project, by piggybacking on the Sloan Digital Sky Survey (SDSS-IV)/Apache Point Observatory Galaxy Evolution Experiment 2-N (APOGEE-2N) observations. Compared to previous empirical libraries, the MaStar library will have a higher number of stars and a more comprehensive stellar-parameter coverage, especially of cool dwarfs, low-metallicity stars, and stars with different [α/Fe], achieved by a sophisticated target-selection strategy that takes advantage of stellar-parameter catalogs from the literature. This empirical library will provide a new basis for stellar-population synthesis and is particularly well suited for stellar-population analysis of MaNGA galaxies. The first version of the library contains 8646 high-quality per-visit spectra for 3321 unique stars. Compared to photometry, the relative flux calibration of the library is accurate to 3.9% in g - r, 2.7% in r - i, and 2.2% in i - z. The data are released as part of SDSS Data Release 15. We expect the final release of the library to contain more than 10,000 stars.
Related projects
Traces of Galaxy Formation: Stellar populations, Dynamics and Morphology
We are a large, diverse, and very active research group aiming to provide a comprehensive picture for the formation of galaxies in the Universe. Rooted in detailed stellar population analysis, we are constantly exploring and developing new tools and ideas to understand how galaxies came to be what we now observe.
Ignacio
Martín Navarro