TY - JOUR
T1 - The data reduction pipeline for the SDSS-IV MaNGA IFU galaxy survey
AU - Law, David R.
AU - Cherinka, Brian
AU - Yan, Renbin
AU - Andrews, Brett H.
AU - Bershady, Matthew A.
AU - Bizyaev, Dmitry
AU - Blanc, Guillermo A.
AU - Blanton, Michael R.
AU - Bolton, Adam S.
AU - Brownstein, Joel R.
AU - Bundy, Kevin
AU - Chen, Yanmei
AU - Drory, Niv
AU - D'Souza, Richard
AU - Fu, Hai
AU - Jones, Amy
AU - Kauffmann, Guinevere
AU - MacDonald, Nicholas
AU - Masters, Karen L.
AU - Newman, Jeffrey A.
AU - Parejko, John K.
AU - Sánchez-Gallego, José R.
AU - Sánchez, Sebastian F.
AU - Schlegel, David J.
AU - Thomas, Daniel
AU - Wake, David A.
AU - Weijmans, Anne-Marie
AU - Westfall, Kyle B.
AU - Zhang, Kai
N1 - 37 pages, 22 figures. Accepted for publication in AJ. v2 updates arXiv reference to Yan+16b, v3 fixes some embedded DR13 links. Version with full resolution figures is available at http://www.stsci.edu/~dlaw/Papers/MaNGA_Data.pdf
PY - 2016/9/12
Y1 - 2016/9/12
N2 - Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) is an optical fiber-bundle integral-field unit (IFU) spectroscopic survey that is one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV). With a spectral coverage of 3622 - 10,354 Å and an average footprint of ~ 500 arcsec2 per IFU the scientific data products derived from MaNGA will permit exploration of the internal structure of a statistically large sample of 10,000 low redshift galaxies in unprecedented detail. Comprising 174 individually pluggable science and calibration IFUs with a near-constant data stream, MaNGA is expected to obtain ~ 100 million raw-frame spectra and ~ 10 million reduced galaxy spectra over the six-year lifetime of the survey. In this contribution, we describe the MaNGA Data Reduction Pipeline (DRP) algorithms and centralized metadata framework that produces sky-subtracted, spectrophotometrically calibrated spectra and rectified 3-D data cubes that combine individual dithered observations. For the 1390 galaxy data cubes released in Summer 2016 as part of SDSS-IV Data Release 13 (DR13), we demonstrate that the MaNGA data have nearly Poisson-limited sky subtraction shortward of ~ 8500 Å and reach a typical 10σ limiting continuum surface brightness μ = 23.5 AB/arcsec-2 in a five arcsec diameter aperture in the g-band. The wavelength calibration of the MaNGA data is accurate to 5 km/s rms, with a median spatial resolution of 2.54 arcsec FWHM (1.8 kpc at the median redshift of 0.037) and a median spectral resolution of sigma = 72 km/s-1.
AB - Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) is an optical fiber-bundle integral-field unit (IFU) spectroscopic survey that is one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV). With a spectral coverage of 3622 - 10,354 Å and an average footprint of ~ 500 arcsec2 per IFU the scientific data products derived from MaNGA will permit exploration of the internal structure of a statistically large sample of 10,000 low redshift galaxies in unprecedented detail. Comprising 174 individually pluggable science and calibration IFUs with a near-constant data stream, MaNGA is expected to obtain ~ 100 million raw-frame spectra and ~ 10 million reduced galaxy spectra over the six-year lifetime of the survey. In this contribution, we describe the MaNGA Data Reduction Pipeline (DRP) algorithms and centralized metadata framework that produces sky-subtracted, spectrophotometrically calibrated spectra and rectified 3-D data cubes that combine individual dithered observations. For the 1390 galaxy data cubes released in Summer 2016 as part of SDSS-IV Data Release 13 (DR13), we demonstrate that the MaNGA data have nearly Poisson-limited sky subtraction shortward of ~ 8500 Å and reach a typical 10σ limiting continuum surface brightness μ = 23.5 AB/arcsec-2 in a five arcsec diameter aperture in the g-band. The wavelength calibration of the MaNGA data is accurate to 5 km/s rms, with a median spatial resolution of 2.54 arcsec FWHM (1.8 kpc at the median redshift of 0.037) and a median spectral resolution of sigma = 72 km/s-1.
KW - astro-ph.IM
KW - methods: data anylsis, surveys
KW - techniques: imaging spectroscopy
UR - https://research-repository.st-andrews.ac.uk/handle/10023/9512
U2 - 10.3847/0004-6256/152/4/83
DO - 10.3847/0004-6256/152/4/83
M3 - Article
SN - 0004-6256
VL - 152
JO - The Astronomical Journal
JF - The Astronomical Journal
IS - 4
ER -