THE DATA REDUCTION PIPELINE FOR THE SDSS-IV MaNGA IFU GALAXY SURVEY

By D. Law, B. Cherinka, R. Yan, B. Andrews, M. Bershady, D. Bizyaev, G. Blanc, M. Blanton, A. Bolton, J. Brownstein and 19 more. 2016

300 citations recorded by the source corpus.

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 3622–10354 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 algorithms and centralized metadata framework that produce sky-subtracted spectrophotometrically calibrated spectra and rectified three-dimensional 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, 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-arcsecond-diameter aperture in the g-band. The wavelength calibration of the MaNGA data is accurate to 5 km s−1 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 σ = 72 km s−1.

Subfields: Astronomy and Astrophysics, Global and Planetary Change, Instrumentation

View Paper: https://www.semanticscholar.org/paper/4d445faa6acecc0d2b15e778084d0385cad48830

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. D. Schneider
2. C. Conroy
3. P. Hopkins
4. L. Hernquist
5. Hans-Walter Rix
6. Simon D. M. White
7. M. Cappellari
8. M. Blanton

In Global and Planetary Change

1. M. Blanton
2. J. Brinkmann
3. J. Newman
4. Mariangela Bernardi
5. R. Yan
6. D. Schneider
7. David Schlegel
8. K. Covey

In Instrumentation

1. C. Conroy
2. M. Cappellari
3. D. Schneider
4. Hans-Walter Rix
5. M. Blanton
6. P. Hopkins
7. L. Hernquist
8. Jo Bovy

Citations in the corpus

• SDSS IV MaNGA – metallicity and nitrogen abundance gradients in local galaxies (2017, methodology): “The MaNGA data used in this work was reduced using version v1_5_1 of the MaNGA reduction pipeline (Law et al. 2016).”
• The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library (2018, methodology): “Data Reduction The reduction of the MaStar data is handled by the MaNGA Data Reduction Pipeline (DRP; see §4.1.1, Law et al. 2016).”
• SDSS-IV MaNGA : the impact of diffuse ionized gas on emission-line ratios, interpretation of diagnostic diagrams and gas metallicity measurements (2016, methodology): “We start with the datacubes produced by the MaNGA data reduction pipeline (Law et al. 2016).”