# Resolved and Integrated Stellar Masses in the SDSS-IV/MaNGA Survey, Paper I: PCA spectral fitting & stellar mass-to-light ratio estimates

## TL;DR

This paper introduces a PCA-based spectral fitting method to estimate resolved stellar mass-to-light ratios in SDSS-IV/MaNGA galaxy data, demonstrating its reliability across various conditions and providing a catalog and software tools.

## Contribution

The paper presents a novel PCA spectral fitting technique for deriving resolved stellar mass-to-light ratios from galaxy spectra, validated with synthetic data.

## Key findings

- Reliable mass-to-light ratio estimates across different S/N ratios
- Validated uncertainties in stellar mass estimates
- Preparation for public data release and software tools

## Abstract

We present a method of fitting optical spectra of galaxies using a basis set of six vectors obtained from principal component analysis (PCA) of a library of synthetic spectra of 40000 star formation histories (SFHs). Using this library, we provide estimates of resolved effective stellar mass-to-light ratio ($\log \Upsilon^*$) for thousands of galaxies from the SDSS-IV/MaNGA integral-field spectroscopic survey. Using a testing framework built on additional synthetic SFHs, we show that the estimates of stellar mass-to-light ratio are reliable (as are their uncertainties) at a variety of signal-to-noise ratios, stellar metallicities, and dust attenuation conditions. Finally, we describe the future release of the resolved stellar mass-to-light ratios as a SDSS-IV/MaNGA Value-Added Catalog (VAC) and provide a link to the software used to conduct this analysis.