Simple Stellar Population Modeling of Low S/N Galaxy Spectra and Quasar Host Galaxy Applications
Gregory Mosby Jr, Christy Tremonti, Eric Hooper, Marsha Wolf, Andrew, Sheinis, and Joseph Richards

TL;DR
This paper introduces a novel stellar population modeling method using diffusion k-means to analyze low S/N galaxy spectra, especially for quasar host galaxies, enabling recovery of star formation histories even with noisy data.
Contribution
The authors develop a diffusion k-means based minimal basis set for stellar population modeling, improving analysis of low S/N spectra and simultaneously modeling scattered quasar light.
Findings
Successfully recovers galaxy SFHs from spectra with S/N ~ 5 Å$^{-1}$
Less sensitive to noise compared to previous techniques
Applicable to high redshift and integral field spectroscopic data
Abstract
To study the effect of supermassive black holes (SMBHs) on their host galaxies it is important to study the hosts when the SMBH is near its peak activity. A method to investigate the host galaxies of high luminosity quasars is to obtain optical spectra at positions offset from the nucleus where the relative contribution of the quasar and host are comparable. However, at these extended radii the galaxy surface brightness is often low (20-22 mag per arcsec) and the resulting spectrum might have such low S/N that it hinders analysis with standard stellar population modeling techniques. To address this problem we have developed a method that can recover galaxy star formation histories (SFHs) from rest frame optical spectra with S/N 5~\AA. This method uses the statistical technique diffusion k-means to tailor the stellar population modeling basis set. Our diffusion…
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