Abstract
Galaxy morphology in atomic hydrogen (H I) and in the ultraviolet (UV) are closely linked. This has motivated their combined use to quantify morphology over the full H I disc for both H I and UV imaging. We apply galaxy morphometrics: concentration, asymmetry, gini, M20 and multimode-intensity-deviation statistics to the first moment-0 maps of the WALLABY Survey of galaxies in the hydra cluster centre. Taking advantage of this new H I survey, we apply the same morphometrics over the full H I extent on archival GALEX FUV and NUV data to explore how well H I truncated, extended ultraviolet disc (XUV) and other morphological phenomena can be captured using pipeline WALLABY data products. Extended H I and UV discs can be identified relatively straightforward from their respective concentration. Combined with WALLABY H I, even the shallowest GALEX data are sufficient to identify XUV discs. Our second goal is to isolate galaxies undergoing ram-pressure stripping in the H I morphometric space. We employ four different machine learning techniques, a decision tree, a k-nearest neighbour, a support-vector machine, and a random forest. Up to 80 per cent precision and recall are possible with the random forest giving the most robust results.
Original language | English |
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Pages (from-to) | 1502-1517 |
Number of pages | 16 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 521 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 May 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.