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SDSS-IV MaNGA: Modeling the Spectral Line Spread Function to Sub-Percent Accuracy

Instrumentation and Methods for Astrophysics 2021-01-13 v2 Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Abstract

The SDSS-IV Mapping Nearby Galaxies at APO (MaNGA) program has been operating from 2014-2020, and has now observed a sample of 9,269 galaxies in the low redshift universe (z ~ 0.05) with integral-field spectroscopy. With rest-optical (\lambda\lambda 0.36 - 1.0 um) spectral resolution R ~ 2000 the instrumental spectral line-spread function (LSF) typically has 1sigma width of about 70 km/s, which poses a challenge for the study of the typically 20-30 km/s velocity dispersion of the ionized gas in present-day disk galaxies. In this contribution, we present a major revision of the MaNGA data pipeline architecture, focusing particularly on a variety of factors impacting the effective LSF (e.g., undersampling, spectral rectification, and data cube construction). Through comparison with external assessments of the MaNGA data provided by substantially higher-resolution R ~ 10,000 instruments we demonstrate that the revised MPL-10 pipeline measures the instrumental line spread function sufficiently accurately (<= 0.6% systematic, 2% random around the wavelength of Halpha) that it enables reliable measurements of astrophysical velocity dispersions sigma_Halpha ~ 20 km/s for spaxels with emission lines detected at SNR > 50. Velocity dispersions derived from [O II], Hbeta, [O III], [N II], and [S II] are consistent with those derived from Halpha to within about 2% at sigma_Halpha > 30 km/s. Although the impact of these changes to the estimated LSF will be minimal at velocity dispersions greater than about 100 km/s, scientific results from previous data releases that are based on dispersions far below the instrumental resolution should be reevaulated.

Keywords

Cite

@article{arxiv.2011.04675,
  title  = {SDSS-IV MaNGA: Modeling the Spectral Line Spread Function to Sub-Percent Accuracy},
  author = {David R. Law and Kyle B. Westfall and Matthew A. Bershady and Michele Cappellari and Renbin Yan and Francesco Belfiore and Dmitry Bizyaev and Joel R. Brownstein and Yanping Chen and Brian Cherinka and Niv Drory and Daniel Lazarz and Shravan Shetty},
  journal= {arXiv preprint arXiv:2011.04675},
  year   = {2021}
}

Comments

26 pages, 23 figures. Accepted for publication in AJ

R2 v1 2026-06-23T20:01:36.973Z