SDSS-IV MaNGA: Modeling the Spectral Line Spread Function to Sub-Percent Accuracy
David R. Law, Kyle B. Westfall, Matthew A. Bershady, Michele, Cappellari, Renbin Yan, Francesco Belfiore, Dmitry Bizyaev, Joel R., Brownstein, Yanping Chen, Brian Cherinka, Niv Drory, Daniel Lazarz, Shravan, Shetty

TL;DR
This paper presents a revised data pipeline for the MaNGA survey that models the spectral line spread function with sub-percent accuracy, enabling reliable measurement of low velocity dispersions in galaxy spectra.
Contribution
The paper introduces a major revision to the MaNGA data pipeline that accurately models the instrumental LSF, improving the measurement of low velocity dispersions in galaxy emission lines.
Findings
The revised pipeline measures the LSF with <= 0.6% systematic accuracy.
Reliable velocity dispersion measurements down to ~20 km/s are now possible.
Consistency across different emission lines is achieved within about 2% for dispersions >30 km/s.
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…
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