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dc.contributor.authorYan, Renbin
dc.contributor.authorChen, Yanping
dc.contributor.authorLazarz, Daniel
dc.contributor.authorBizyaev, Dmitry
dc.contributor.authorMaraston, Claudia
dc.contributor.authorStringfellow, Guy S.
dc.contributor.authorMcCarthy, Kyle
dc.contributor.authorMeneses-Goytia, Sofia
dc.contributor.authorLaw, David R.
dc.contributor.authorThomas, Daniel
dc.contributor.authorFalcon Barroso, Jesus
dc.contributor.authorSánchez-Gallego, José R.
dc.contributor.authorSchlafly, Edward
dc.contributor.authorZheng, Zheng
dc.contributor.authorArgudo-Fernández, Maria
dc.contributor.authorBeaton, Rachael L.
dc.contributor.authorBeers, Timothy C.
dc.contributor.authorBershady, Matthew
dc.contributor.authorBlanton, Michael R.
dc.contributor.authorBrownstein, Joel
dc.contributor.authorBundy, Kevin
dc.contributor.authorChambers, Kenneth C.
dc.contributor.authorCherinka, Brian
dc.contributor.authorDe Lee, Nathan
dc.contributor.authorDrory, Niv
dc.contributor.authorGalbany, Lluís
dc.contributor.authorHoltzman, Jon
dc.contributor.authorImig, Julie
dc.contributor.authorKaiser, Nick
dc.contributor.authorKinemuchi, Karen
dc.contributor.authorLiu, Chao
dc.contributor.authorLuo, A-Li
dc.contributor.authorMagnier, Eugene
dc.contributor.authorMajewski, Steven
dc.contributor.authorNair, Preethi
dc.contributor.authorOravetz, Audrey
dc.contributor.authorOravetz, Daniel
dc.contributor.authorPan, Kaike
dc.contributor.authorSobeck, Jennifer
dc.contributor.authorStassun, Keivan
dc.contributor.authorTalbot, Michael
dc.contributor.authorTremonti, Christy
dc.contributor.authorWaters, Christopher
dc.contributor.authorWeijmans, Anne-Marie
dc.contributor.authorWilhelm, Ronald
dc.contributor.authorZasowski, Gail
dc.contributor.authorZhao, Gang
dc.contributor.authorZhao, Yong-Heng
dc.date.accessioned2019-10-14T09:30:02Z
dc.date.available2019-10-14T09:30:02Z
dc.date.issued2019-10-03
dc.identifier256942383
dc.identifiere041a815-b259-420c-9a77-7e9f11c82439
dc.identifier85073688903
dc.identifier000498390600034
dc.identifier.citationYan , R , Chen , Y , Lazarz , D , Bizyaev , D , Maraston , C , Stringfellow , G S , McCarthy , K , Meneses-Goytia , S , Law , D R , Thomas , D , Falcon Barroso , J , Sánchez-Gallego , J R , Schlafly , E , Zheng , Z , Argudo-Fernández , M , Beaton , R L , Beers , T C , Bershady , M , Blanton , M R , Brownstein , J , Bundy , K , Chambers , K C , Cherinka , B , De Lee , N , Drory , N , Galbany , L , Holtzman , J , Imig , J , Kaiser , N , Kinemuchi , K , Liu , C , Luo , A-L , Magnier , E , Majewski , S , Nair , P , Oravetz , A , Oravetz , D , Pan , K , Sobeck , J , Stassun , K , Talbot , M , Tremonti , C , Waters , C , Weijmans , A-M , Wilhelm , R , Zasowski , G , Zhao , G & Zhao , Y-H 2019 , ' SDSS-IV MaStar : a large and comprehensive empirical stellar spectral library—first release ' , Astrophysical Journal , vol. 883 , no. 2 , 175 , pp. 1-26 . https://doi.org/10.3847/1538-4357/ab3ebcen
dc.identifier.issn0004-637X
dc.identifier.otherBibCode: 2018arXiv181202745Y
dc.identifier.otherORCID: /0000-0002-5908-6852/work/63045889
dc.identifier.urihttps://hdl.handle.net/10023/18656
dc.description.abstractWe 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.
dc.format.extent26
dc.format.extent3223333
dc.language.isoeng
dc.relation.ispartofAstrophysical Journalen
dc.subjectCatalogsen
dc.subjectGalaxy: stellar contenten
dc.subjectStars: fundamental parametersen
dc.subjectStars: generalen
dc.subjectTechniques: spectroscopicen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subject3rd-DASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleSDSS-IV MaStar : a large and comprehensive empirical stellar spectral library—first releaseen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.identifier.doi10.3847/1538-4357/ab3ebc
dc.description.statusPeer revieweden
dc.identifier.urlhttp://adsabs.harvard.edu/abs/2018arXiv181202745Yen


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