Galaxy And Mass Assembly: The xSAGA Galaxy Complement in Nearby Galaxy Groups
B.W. Holwerda (UofL), S. Phillipps (Bristol), S. Weerasooriya (Texas, Christian University), M. S. Bovill (Texas Christian University), S. Brough, (New South Wales, Monash), M. J. I. Brown (Monash), C. Robertson (UofL), and, K. Cook (UofL)

TL;DR
This study combines galaxy group catalogues with machine learning identified satellite galaxies to extend and analyze the satellite content of nearby galaxy groups, revealing insights into their composition and satellite properties.
Contribution
It introduces a method to extend galaxy group data with machine learning identified satellites, providing new insights into satellite populations in galaxy groups.
Findings
Most groups have fewer than 5 xSAGA galaxies.
Additional xSAGA galaxies contribute minimally to group stellar mass.
The Local Group's satellite count is typical for similar groups.
Abstract
Groups of galaxies are the intermediate density environment in which much of the evolution of galaxies is thought to take place. In spectroscopic redshift surveys, one can identify these as close spatial redshift associations. However, spectroscopic surveys will always be more limited in luminosity and completeness than imaging ones. Here we combine the Galaxy And Mass Assembly group catalogue with the extended Satellites Around Galactic Analogues (xSAGA) catalogue of Machine Learning identified low-redshift satellite galaxies. We find 1825 xSAGA galaxies within the bounds of the GAMA equatorial fields (m < 21), 1562 of which could have a counterpart in the GAMA spectroscopic catalogue (m < 19.8). Of these, 1326 do have a GAMA counterpart with 974 below z=0.03 (true positives) and 352 above (false positives). By crosscorrelating the GAMA group catalogue with the xSAGA catalogue, we can…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
