GAMA+KiDS: Empirical correlations between halo mass and other galaxy properties near the knee of the stellar-to-halo mass relation
Edward N. Taylor, Michelle E. Cluver, Alan Duffy, Pol Gurri, Henk, Hoekstra, Alessandro Sonnenfeld, Malcolm N. Bremer, Margot M. Brouwer, Nora, Elisa Chisari, Andrej Dvornik, Thomas Erben, Hendrik Hildebrandt, Andrew M., Hopkins, Lee S. Kelvin, Steven Phillipps

TL;DR
This study uses weak lensing data to empirically analyze how galaxy properties like size and structure relate to halo mass near the stellar-to-halo mass relation's knee, revealing size and structure as better predictors than star formation indicators.
Contribution
It provides new empirical evidence that galaxy size and structure are more closely linked to halo mass than star formation history near the stellar mass function's break.
Findings
Size and Sersic index are better predictors of halo mass than colour or SSFR.
Mean halo mass correlates more strongly with galaxy structure than star formation.
Dispersion in halo masses among similar stellar mass galaxies is at least 0.3 dex.
Abstract
We use KiDS weak lensing data to measure variations in mean halo mass as a function of several key galaxy properties (namely: stellar colour, specific star formation rate, Sersic index, and effective radius) for a volume-limited sample of GAMA galaxies in a narrow stellar mass range (-- Msol). This mass range is particularly interesting, inasmuch as it is where bimodalities in galaxy properties are most pronounced, and near to the break in both the galaxy stellar mass function and the stellar-to-halo mass relation (SHMR). In this narrow mass range, we find that both size and Sersic index are better predictors of halo mass than either colour or SSFR, with the data showing a slight preference for Sersic index. In other words, we find that mean halo mass is more tightly correlated with galaxy structure than either past star formation history or current star…
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