SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library-First Release
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 at a resolving power of R ∼ 1800. The spectra were obtained using the same instrument as used by the Mapping Nearby Galaxies...
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| Veröffentlicht in: | The Astrophysical journal 2019-10, Vol.883 (2), p.175 |
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| creator | Yan, Renbin Chen, Yanping Lazarz, Daniel Bizyaev, Dmitry Maraston, Claudia Stringfellow, Guy S. McCarthy, Kyle Meneses-Goytia, Sofia Law, David R. Thomas, Daniel Barroso, Jesus Falcon 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 Lee, Nathan De 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 |
| 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 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 [ /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. |
| doi_str_mv | 10.3847/1538-4357/ab3ebc |
| format | Article |
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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.</description><identifier>ISSN: 0004-637X</identifier><identifier>ISSN: 1538-4357</identifier><identifier>EISSN: 1538-4357</identifier><identifier>DOI: 10.3847/1538-4357/ab3ebc</identifier><language>eng</language><publisher>Philadelphia: The American Astronomical Society</publisher><subject>ASTRONOMY AND ASTROPHYSICS ; Astrophysics ; Calibration ; Empirical analysis ; Galactic evolution ; Galaxies ; Galaxy: stellar content ; Libraries ; Mapping ; Metallicity ; Observatories ; Parameters ; Physics ; Resolution ; Sky surveys (astronomy) ; Spectra ; Stars ; Stars & galaxies ; stars: fundamental parameters ; stars: general ; techniques: spectroscopic</subject><ispartof>The Astrophysical journal, 2019-10, Vol.883 (2), p.175</ispartof><rights>2019. The American Astronomical Society. 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(LBNL), Berkeley, CA (United States)</creatorcontrib><title>SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library-First Release</title><title>The Astrophysical journal</title><addtitle>APJ</addtitle><addtitle>Astrophys. J</addtitle><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 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 [ /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.</description><subject>ASTRONOMY AND ASTROPHYSICS</subject><subject>Astrophysics</subject><subject>Calibration</subject><subject>Empirical analysis</subject><subject>Galactic evolution</subject><subject>Galaxies</subject><subject>Galaxy: stellar content</subject><subject>Libraries</subject><subject>Mapping</subject><subject>Metallicity</subject><subject>Observatories</subject><subject>Parameters</subject><subject>Physics</subject><subject>Resolution</subject><subject>Sky surveys (astronomy)</subject><subject>Spectra</subject><subject>Stars</subject><subject>Stars & galaxies</subject><subject>stars: fundamental parameters</subject><subject>stars: general</subject><subject>techniques: 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MaStar: A Large and Comprehensive Empirical Stellar Spectral Library-First Release</title><author>Yan, Renbin ; Chen, Yanping ; Lazarz, Daniel ; Bizyaev, Dmitry ; Maraston, Claudia ; Stringfellow, Guy S. ; McCarthy, Kyle ; Meneses-Goytia, Sofia ; Law, David R. ; Thomas, Daniel ; Barroso, Jesus Falcon ; 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 ; Lee, Nathan De ; 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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-980d2167914f10358e88855c8e64918f151d2ee16ee63056943bfb76ece51b293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ASTRONOMY AND ASTROPHYSICS</topic><topic>Astrophysics</topic><topic>Calibration</topic><topic>Empirical analysis</topic><topic>Galactic evolution</topic><topic>Galaxies</topic><topic>Galaxy: stellar content</topic><topic>Libraries</topic><topic>Mapping</topic><topic>Metallicity</topic><topic>Observatories</topic><topic>Parameters</topic><topic>Physics</topic><topic>Resolution</topic><topic>Sky surveys (astronomy)</topic><topic>Spectra</topic><topic>Stars</topic><topic>Stars & galaxies</topic><topic>stars: fundamental parameters</topic><topic>stars: general</topic><topic>techniques: spectroscopic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, 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Christy</creatorcontrib><creatorcontrib>Waters, Christopher</creatorcontrib><creatorcontrib>Weijmans, Anne-Marie</creatorcontrib><creatorcontrib>Wilhelm, Ronald</creatorcontrib><creatorcontrib>Zasowski, Gail</creatorcontrib><creatorcontrib>Zhao, Gang</creatorcontrib><creatorcontrib>Zhao, Yong-Heng</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>The Astrophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yan, Renbin</au><au>Chen, Yanping</au><au>Lazarz, Daniel</au><au>Bizyaev, Dmitry</au><au>Maraston, Claudia</au><au>Stringfellow, Guy S.</au><au>McCarthy, Kyle</au><au>Meneses-Goytia, Sofia</au><au>Law, David R.</au><au>Thomas, Daniel</au><au>Barroso, Jesus Falcon</au><au>Sánchez-Gallego, José R.</au><au>Schlafly, Edward</au><au>Zheng, Zheng</au><au>Argudo-Fernández, Maria</au><au>Beaton, Rachael L.</au><au>Beers, Timothy C.</au><au>Bershady, Matthew</au><au>Blanton, Michael R.</au><au>Brownstein, Joel</au><au>Bundy, Kevin</au><au>Chambers, Kenneth C.</au><au>Cherinka, Brian</au><au>Lee, Nathan De</au><au>Drory, Niv</au><au>Galbany, Lluís</au><au>Holtzman, Jon</au><au>Imig, Julie</au><au>Kaiser, Nick</au><au>Kinemuchi, Karen</au><au>Liu, Chao</au><au>Luo, A-Li</au><au>Magnier, Eugene</au><au>Majewski, Steven</au><au>Nair, Preethi</au><au>Oravetz, Audrey</au><au>Oravetz, Daniel</au><au>Pan, Kaike</au><au>Sobeck, Jennifer</au><au>Stassun, Keivan</au><au>Talbot, Michael</au><au>Tremonti, Christy</au><au>Waters, Christopher</au><au>Weijmans, Anne-Marie</au><au>Wilhelm, Ronald</au><au>Zasowski, Gail</au><au>Zhao, Gang</au><au>Zhao, Yong-Heng</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library-First Release</atitle><jtitle>The Astrophysical journal</jtitle><stitle>APJ</stitle><addtitle>Astrophys. J</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>883</volume><issue>2</issue><spage>175</spage><pages>175-</pages><issn>0004-637X</issn><issn>1538-4357</issn><eissn>1538-4357</eissn><abstract>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 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 [ /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. 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| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0004-637X |
| ispartof | The Astrophysical journal, 2019-10, Vol.883 (2), p.175 |
| issn | 0004-637X 1538-4357 1538-4357 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_02569474v1 |
| source | IOP Publishing Free Content |
| subjects | ASTRONOMY AND ASTROPHYSICS Astrophysics Calibration Empirical analysis Galactic evolution Galaxies Galaxy: stellar content Libraries Mapping Metallicity Observatories Parameters Physics Resolution Sky surveys (astronomy) Spectra Stars Stars & galaxies stars: fundamental parameters stars: general techniques: spectroscopic |
| title | SDSS-IV MaStar: A Large and Comprehensive Empirical Stellar Spectral Library-First Release |
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