Classifying galaxies according to their H I content
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
Abstract
We use machine learning to classify galaxies according to their H I content, based on both their optical photometry and environmental properties. The data used for our analyses are the outputs in the range z = 0–1 from MUFASA cosmological hydrodynamic simulation. In our previous paper, where we predicted the galaxy H I content using the same input features, H I-rich galaxies were only selected for the training. In order for the predictions on real observation data to be more accurate, the classifiers built in this study will first establish if a galaxy is H I rich (log(MHI/M∗)>−2) before estimating its neutral hydrogen content using the regressors developed in the first paper.
Description
Keywords
Galaxies: evolution, Galaxies: statistics, H I content
Citation
Andrianomena, S. et al. (2020). Classifying galaxies according to their H I content. Monthly Notices of the Royal Astronomical Society, 492(4), 5743–5753