SDSS-IV MaNGA IFS Galaxy Survey --- Survey Design, Execution, and Initial Data Quality
Renbin Yan, Kevin Bundy, David R. Law, Matthew A. Bershady, Brett, Andrews, Brian Cherinka, Aleksandar M. Diamond-Stanic, Niv Drory, Nicholas, MacDonald, Jos\'e R. S\'anchez-Gallego, Daniel Thomas, David A. Wake,, Anne-Marie Weijmans, Kyle B. Westfall, Kai Zhang

TL;DR
The MaNGA survey provides high-quality integral field spectroscopy data for 10,000 nearby galaxies, enabling detailed analysis of galaxy properties and their gradients, with a focus on survey design, execution, and initial data quality assessment.
Contribution
This paper details the survey design, execution, and initial data quality of the MaNGA IFS galaxy survey, highlighting its scientific requirements and data performance metrics.
Findings
Achieved median S/N ratio of ~73 per pixel for primary sample
Survey data meets or exceeds initial science requirements
Uniform spatial coverage and high data quality for galaxy analysis
Abstract
The MaNGA Survey (Mapping Nearby Galaxies at Apache Point Observatory) is one of three core programs in the Sloan Digital Sky Survey IV. It is obtaining integral field spectroscopy (IFS) for 10K nearby galaxies at a spectral resolution of R~2000 from 3,622-10,354A. The design of the survey is driven by a set of science requirements on the precision of estimates of the following properties: star formation rate surface density, gas metallicity, stellar population age, metallicity, and abundance ratio, and their gradients; stellar and gas kinematics; and enclosed gravitational mass as a function of radius. We describe how these science requirements set the depth of the observations and dictate sample selection. The majority of targeted galaxies are selected to ensure uniform spatial coverage in units of effective radius (Re) while maximizing spatial resolution. About 2/3 of the sample is…
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