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SDSS-IV MaStar: a large and comprehensive empirical stellar spectral library-first release

Research output: Contribution to journalArticlepeer-review

  • Renbin Yan
  • Yanping Chen
  • Daniel Lazarz
  • Dmitry Bizyaev
  • Guy S. Stringfellow
  • Kyle McCarthy
  • Sofia Meneses-Goytia
  • David R. Law
  • Jesus Falcon Barroso
  • José R. Sánchez-Gallego
  • Edward Schlafly
  • Zheng Zheng
  • Maria Argudo-Fernández
  • Rachael L. Beaton
  • Timothy C. Beers
  • Matthew Bershady
  • Michael R. Blanton
  • Joel Brownstein
  • Kevin Bundy
  • Kenneth C. Chambers
  • Brian Cherinka
  • Nathan De Lee
  • Niv Drory
  • Lluís Galbany
  • Jon Holtzman
  • Julie Imig
  • Nick Kaiser
  • Karen Kinemuchi
  • Chao Liu
  • A-Li Luo
  • Eugene Magnier
  • Steven Majewski
  • Preethi Nair
  • Audrey Oravetz
  • Daniel Oravetz
  • Kaike Pan
  • Jennifer Sobeck
  • Keivan Stassun
  • Michael Talbot
  • Christy Tremonti
  • Christopher Waters
  • Anne-Marie Weijmans
  • Ronald Wilhelm
  • Gail Zasowski
  • Gang Zhao
  • Yong-Heng Zhao
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 gr, 2.7% in ri, and 2.2% in iz. 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.
Original languageEnglish
Article number175
Number of pages26
JournalAstrophysical Journal
Publication statusPublished - 3 Oct 2019

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