Quantifying the abundance of faint, low-redshift satellite galaxies in the COSMOS survey
ChengYu Xi, James E. Taylor, Richard J. Massey, Jason Rhodes, Anton, Koekemoer, and Mara Salvato

TL;DR
This study evaluates a method to estimate faint, low-redshift satellite galaxy populations around bright galaxies using size, magnitude, and clustering data, demonstrating its effectiveness with COSMOS survey data.
Contribution
It introduces and tests a structural selection method for identifying faint satellite galaxies, enhancing characterization beyond spectroscopic survey capabilities.
Findings
Size-magnitude cuts recover about two-thirds of the clustering signal.
Selected objects include over one-third true satellites.
Method is effective for larger-area, fainter galaxy population studies.
Abstract
Faint dwarf satellite galaxies are important as tracers of small-scale structure, but remain poorly characterized outside the Local Group, due to the difficulty of identifying them consistently at larger distances. We review a recently proposed method for estimating the average satellite population around a given sample of nearby bright galaxies, using a combination of size and magnitude cuts (to select low-redshift dwarf galaxies preferentially) and clustering measurements (to estimate the fraction of true satellites in the cut sample). We test this method using the high-precision photometric redshift catalog of the COSMOS survey, exploring the effect of specific cuts on the clustering signal. The most effective of the size-magnitude cuts considered recover the clustering signal around low-redshift primaries (z < 0.15) with about two-thirds of the signal and 80\%\ of the…
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