SDSS-IV MaNGA: Modeling the spectral line-spread function to subpercent accuracy

Autor: Niv Drory, Daniel Lazarz, Michele Cappellari, Shravan Shetty, Kyle B. Westfall, Matthew A. Bershady, Brian Cherinka, Yanping Chen, David R. Law, Joel R. Brownstein, Francesco Belfiore, Dmitry Bizyaev, Renbin Yan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
DOI: 10.3847/1538-3881/abcaa2
Popis: 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 ( 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.
Comment: 26 pages, 23 figures. Accepted for publication in AJ
Databáze: OpenAIRE