2016
DOI: 10.3847/0004-6256/152/4/83
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THE DATA REDUCTION PIPELINE FOR THE SDSS-IV MaNGA IFU GALAXY SURVEY

Abstract: 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 arcsec 2 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. Compris… Show more

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Cited by 427 publications
(317 citation statements)
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“…We processed our data using version 2_2_0 of the MaNGA Data Reduction Pipeline (DRP; Law et al 2015Law et al , 2016. This version is similar to v2_1_2 released in 2017 July as SDSS DR14 (Abolfathi et al 2018), but incorporates a number of custom modifications made specifically for the Deep Coma program.…”
Section: Data Reductionmentioning
confidence: 99%
“…We processed our data using version 2_2_0 of the MaNGA Data Reduction Pipeline (DRP; Law et al 2015Law et al , 2016. This version is similar to v2_1_2 released in 2017 July as SDSS DR14 (Abolfathi et al 2018), but incorporates a number of custom modifications made specifically for the Deep Coma program.…”
Section: Data Reductionmentioning
confidence: 99%
“…Careful spectrophotometry yields a relative calibration accurate to a few percent (Yan et al 2016b). The survey design is described in Yan et al (2016a), the observing strategy in Law et al (2015), and the data reduction pipeline in Law et al (2016). The MaNGA team has also developed useful tools for data visualization and vetting (Cherinka et al 2017).…”
Section: The Manga Surveymentioning
confidence: 99%
“…The resolution as a function of wavelength is calculated from arcs taken before and after each exposure and then corrected using strong sky lines (Law et al 2016). Tests indicate that these corrections are better than 5% for dispersions of 70 et al 2017, in preparation).…”
Section: Kinematic Measurementsmentioning
confidence: 99%
“…On the other hand, the reconstructed PSF of the MaNGA data has an FWHM of ∼2. 5 (Law et al 2016), which corresponds to a physical size of ∼ 1.5 kpc at the mean redshift of the MaNGA survey (Bundy et al 2015). Therefore, although the stars/dust geometry of star-forming regions has a large diversity on small physical scales (Liu et al 2013), the adopted assumption in this work is plausible for our sample.…”
Section: Effect Of Stars/dust Geometrymentioning
confidence: 85%
“…The FWHM of the reconstructed point spread function (PSF) of the data cubes is about 2. 5 (Law et al 2016). In this work, we take the MaNGA data from the SDSS DR14 2 (Abolfathi et al 2018) as the parent sample, which provides 2812 data cubes.…”
Section: Manga Overviewmentioning
confidence: 99%