The clustering of galaxies as a function of their photometrically-estimated atomic gas content
Cheng Li, Guinevere Kauffmann, Jian Fu, Jing Wang, Barbara Catinella,, Silvia Fabello, David Schiminovich, Wei Zhang

TL;DR
This paper develops a new photometric method to estimate the atomic gas content in galaxies, compares clustering properties of HI-rich and HI-poor galaxies with models, and finds discrepancies especially in low-mass systems.
Contribution
It introduces a novel photometric estimator for galaxy HI mass fraction and applies it to analyze galaxy clustering and bias, revealing limitations of current models.
Findings
Good agreement with models for galaxies >10^10 M_sun
HI-rich galaxies are anti-biased at high masses
Discrepancies in low-mass galaxy clustering predictions
Abstract
We introduce a new photometric estimator of the HI mass fraction (M_HI/M_*) in local galaxies, which is a linear combination of four parameters: stellar mass, stellar surface mass density, NUV-r colour, and g-i colour gradient. It is calibrated using samples of nearby galaxies (0.025<z<0.05) with HI line detections from the GASS and ALFALFA surveys, and it is demonstrated to provide unbiased M_HI/M_* estimates even for HI-rich galaxies. We apply this estimator to a sample of ~24,000 galaxies from the SDSS/DR7 in the same redshift range. We then bin these galaxies by stellar mass and HI mass fraction and compute projected two point cross-correlation functions with respect to a reference galaxy sample. Results are compared with predictions from current semi-analytic models of galaxy formation. The agreement is good for galaxies with stellar masses larger than 10^10 M_sun, but not for…
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