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SDSS-IV MaNGA IFS Galaxy Survey - survey design, execution, and initial data quality

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Yan_2016_SDSS_AJ_AAM.pdf (9.031Mb)
Date
29/11/2016
Author
Yan, Renbin
Bundy, Kevin
Law, David R.
Bershady, Matthew A.
Andrews, Brett
Cherinka, Brian
Diamond-Stanic, Aleksandar M.
Drory, Niv
MacDonald, Nicholas
Sánchez-Gallego, José R.
Thomas, Daniel
Wake, David A.
Weijmans, Anne-Marie
Westfall, Kyle B.
Zhang, Kai
Aragón-Salamanca, Alfonso
Belfiore, Francesco
Bizyaev, Dmitry
Blanc, Guillermo A.
Blanton, Michael R.
Brownstein, Joel
Cappellari, Michele
D'Souza, Richard
Emsellem, Eric
Fu, Hai
Gaulme, Patrick
Graham, Mark T.
Goddard, Daniel
Gunn, James E.
Harding, Paul
Jones, Amy
Kinemuchi, Karen
Li, Cheng
Li, Hongyu
Maiolino, Roberto
Mao, Shude
Maraston, Claudia
Masters, Karen
Merrifield, Michael R.
Oravetz, Daniel
Pan, Kaike
Parejko, John K.
Sanchez, Sebastian F.
Schlegel, David
Simmons, Audrey
Thanjavur, Karun
Tinker, Jeremy
Tremonti, Christy
van den Bosch, Remco
Zheng, Zheng
Keywords
Galaxies: evolution
Galaxies: general
Surveys
Techniques: imaging spectroscopy
QB Astronomy
QC Physics
DAS
Metadata
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Abstract
The MaNGA Survey (Mapping Nearby Galaxies at Apache Point Observatory) is one of three core programs in the Sloan Digital Sky Survey IV. It is obtaining integral field spectroscopy (IFS) for 10K nearby galaxies at a spectral resolution of R~2000 from 3,622-10,354Å. The design of the survey is driven by a set of science requirements on the precision of estimates of the following properties: star formation rate surface density, gas metallicity, stellar population age, metallicity, and abundance ratio, and their gradients; stellar and gas kinematics; and enclosed gravitational mass as a function of radius. We describe how these science requirements set the depth of the observations and dictate sample selection. The majority of targeted galaxies are selected to ensure uniform spatial coverage in units of effective radius (Re) while maximizing spatial resolution. About 2/3 of the sample is covered out to 1.5Re (Primary sample), and 1/3 of the sample is covered to 2.5Re (Secondary sample). We describe the survey execution with details that would be useful in the design of similar future surveys. We also present statistics on the achieved data quality, specifically, the point spread function, sampling uniformity, spectral resolution, sky subtraction, and flux calibration. For our Primary sample, the median r-band signal-to-noise ratio is ~73 per 1.4Å pixel for spectra stacked between 1-1.5 Re. Measurements of various galaxy properties from the first year data show that we are meeting or exceeding the defined requirements for the majority of our science goals.
Citation
Yan , R , Bundy , K , Law , D R , Bershady , M A , Andrews , B , Cherinka , B , Diamond-Stanic , A M , Drory , N , MacDonald , N , Sánchez-Gallego , J R , Thomas , D , Wake , D A , Weijmans , A-M , Westfall , K B , Zhang , K , Aragón-Salamanca , A , Belfiore , F , Bizyaev , D , Blanc , G A , Blanton , M R , Brownstein , J , Cappellari , M , D'Souza , R , Emsellem , E , Fu , H , Gaulme , P , Graham , M T , Goddard , D , Gunn , J E , Harding , P , Jones , A , Kinemuchi , K , Li , C , Li , H , Maiolino , R , Mao , S , Maraston , C , Masters , K , Merrifield , M R , Oravetz , D , Pan , K , Parejko , J K , Sanchez , S F , Schlegel , D , Simmons , A , Thanjavur , K , Tinker , J , Tremonti , C , van den Bosch , R & Zheng , Z 2016 , ' SDSS-IV MaNGA IFS Galaxy Survey - survey design, execution, and initial data quality ' , Astrophysical Journal , vol. 152 , no. 6 , 197 . https://doi.org/10.3847/0004-6256/152/6/197
Publication
Astrophysical Journal
Status
Peer reviewed
DOI
https://doi.org/10.3847/0004-6256/152/6/197
ISSN
0004-637X
Type
Journal article
Rights
© 2016, American Astronomical Society. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at iopscience.iop.org / https://dx.doi.org/10.3847/0004-6256/152/6/197
Collections
  • University of St Andrews Research
URL
http://adsabs.harvard.edu/abs/2016arXiv160708613Y
URI
http://hdl.handle.net/10023/9476

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