Constraining Satellite Galaxy Stellar Mass Loss and Predicting Intrahalo Light I: Framework and Results at Low Redshift
Douglas F. Watson, Andreas A. Berlind (Vanderbilt University), Andrew, R. Zentner (University of Pittsburgh)

TL;DR
This paper develops models linking satellite galaxy stellar mass loss to dark matter subhalo evolution, constrains mass loss using galaxy clustering data, and predicts intrahalo light contributions at low redshift.
Contribution
It introduces two models connecting stellar mass loss to dark matter loss and constrains them using SDSS galaxy clustering data, improving understanding of intrahalo light.
Findings
Less luminous satellites lose more stellar mass than luminous ones.
Both models' IHL predictions align with observations, with Model 2 fitting halo-to-halo scatter better.
Constraining stellar mass loss helps explain the distribution of intrahalo light.
Abstract
We introduce a new technique that uses galaxy clustering to constrain how satellite galaxies lose stellar mass and contribute to the diffuse "intrahalo light" (IHL). We implement two models that relate satellite galaxy stellar mass loss to the detailed knowledge of subhalo dark matter mass loss. Model 1 assumes that the fractional stellar mass loss of a galaxy is proportional to the fractional amount of dark matter mass loss of its subhalo. Model 2 accounts for a delay in the time that stellar mass is lost since the galaxy resides deep in the potential well of the subhalo which may experience dark matter mass loss for some time before the galaxy is affected. We use these models to predict the stellar masses of a population of galaxies and use abundance matching to predict the clustering of several r-band luminosity threshold samples from the Sloan Digital Sky Survey. Abundance matching…
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