VizieR Online Data Catalog: HI gas mass fraction estimations (Teimoorinia+, 2017)

We present a novel method to estimate HI gas mass fraction and the associated uncertainties based on the patterns found in our data sets, using machine learning methods. The ALFALFAsurvey is used as our main training sample, and we check our model estimations with a range of validation sets, comprised of the GASS (Catinella et al., 2013, Cat. J/MNRAS/436/34) and Cornell (Giovanelli et al., 2007, Cat. J/AJ/133/2569) surveys and a small sample of PM galaxies (Ellison et al., 2015MNRAS.448..221E).

(1 data file).