HI Content and Optical Properties of Field Galaxies from the ALFALFA Survey. II. Multivariate Analysis of a Galaxy Sample in Low Density Environments
M. C. Toribio, J. M. Solanes, R. Giovanelli, M. P. Haynes, A. Martin

TL;DR
This study uses multivariate analysis on a large sample of nearby, HI-rich galaxies in low-density environments to identify key predictors of HI content and explore their scaling relations, confirming strong correlations among galaxy properties.
Contribution
It applies principal component analysis and other multivariate techniques to a complete galaxy sample, revealing the main parameters influencing HI mass and their scaling relations.
Findings
Stellar disk diameter is the best predictor of HI mass.
The HI mass-optical size relation has a slope of 1.55.
Optical properties like color show moderate correlation with HI content.
Abstract
This is the second paper of two reporting results from a study of the HI content and stellar properties of nearby galaxies detected by the Arecibo Legacy Fast ALFA blind 21-cm line survey and the Sloan Digital Sky Survey in a 2160 deg^2 region covered by both surveys. We apply strategies of multivariate data analysis to a complete HI flux-limited subset of 1624 objects extracted from the control sample of HI emitters assembled by Toribio et al. (2011a) in order to: i) investigate the correlation structure of the space defined by an extensive set of observables describing gas-rich systems; ii) identify the intrinsic parameters that best define their HI content; and iii) explore the scaling relations arising from the joint distributions of the quantities most strongly correlated with the HI mass. The principal component analysis performed over a set of five galaxy properties reveals that…
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