A machine learning approach to estimating HI deficiency in galaxies; additional plots

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Authors: Filip Janák, Boris Z. Deshev, R. Nagy, Rhys Taylor
Cited by: 1

Abstract

Figure A.1: Histograms of features and the target variable for the used sample (red, hatched) and the discarded sample (black, line). Figure B.1: Distributions of Petrosian radii, Petrosian radii containing 50% and 90% of the total flux in our sample of isolated galaxies with respect to the neutral hydrogen mass. Figure B.2: Distributions of absolute magnitudes, concentration indices and colors in our sample of isolated galaxies with respect to the neutral hydrogen mass. Figure D.1: Histograms of features and the target variable for the sample of isolated galaxies (red, hatched) and the sample of non-isolated galaxies (black, line). Figure E.1: Four separate star formation histories (top left) and the associated evolutions of optical parameters derived with DSPS: g-i and r-i colors (top row, middle and right) and g/r/i bands magnitudes (bottom row).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 April 2026