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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsi0="https://www.w3.org/2001/XMLSchema-instance" xmlns:xu="http://www.xmldb.org/xupdate"><oai:identifier>ivo://CDS.VizieR/J/MNRAS/521/1502</oai:identifier><oai:datestamp>2026-06-15T00:17:22Z</oai:datestamp><oai:setSpec>J.MNRAS</oai:setSpec></oai:header><oai:metadata><eudc:resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:eudc="http://schema.eudat.eu/schema/kernel-1" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:dachs="urn:dachs" xsi:schemaLocation="http://schema.eudat.eu/schema/kernel-1           http://docs.g-vo.org/schemata/eudat-core.xsd"><eudc:community>IVOA</eudc:community><eudc:titles><eudc:title>WALLABY Hydra I cl. H I galaxy morphometrics</eudc:title></eudc:titles><eudc:descriptions><eudc:description>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.</eudc:description></eudc:descriptions><eudc:keywords><eudc:keyword>galaxy-clusters</eudc:keyword><eudc:keyword>galaxy-groups</eudc:keyword><eudc:keyword>galaxies</eudc:keyword><eudc:keyword>intergalactic-medium</eudc:keyword><eudc:keyword>visible-astronomy</eudc:keyword><eudc:keyword>narrow-band-photometry</eudc:keyword><eudc:keyword>h-i-line-emission</eudc:keyword><eudc:keyword>galaxy-classification-systems</eudc:keyword><eudc:keyword>astrometry</eudc:keyword><eudc:keyword>galaxy-kinematics</eudc:keyword><eudc:keyword>galaxy-radii</eudc:keyword><eudc:keyword>galactic-and-extragalactic-astronomy</eudc:keyword><eudc:keyword>interstellar-medium</eudc:keyword><eudc:keyword>observational-astronomy</eudc:keyword></eudc:keywords><eudc:identifiers><eudc:identifier identifierType="URL">https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/521/1502</eudc:identifier></eudc:identifiers><eudc:relatedIdentifiers><eudc:relatedIdentifier relatedIdentifierType="URL">https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/521/1502</eudc:relatedIdentifier><eudc:relatedIdentifier relatedIdentifierType="bibcode">2023MNRAS.521.1502H</eudc:relatedIdentifier><eudc:relatedIdentifier relatedIdentifierType="URL">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/521/1502</eudc:relatedIdentifier><eudc:description>Cone search capability for table J/MNRAS/521/1502/table (Astrometric informations and morphometric parameters of our HI WALLABY galaxies)</eudc:description></eudc:relatedIdentifiers><eudc:creators><eudc:creator><eudc:creatorName>Holwerda B.W.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Bigiel F.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Bosma A.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Courtois H.M.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Deg N.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Denes H.,Elagali A.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>For B.-Q.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Koribalski B.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Leahy D.A.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Lee-Waddell K.,Lopez-Sanchez A.R.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Oh S.-H.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Reynolds T.N.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Rhee J.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Spekkens K.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Wang J.,Westmeier T.</eudc:creatorName></eudc:creator><eudc:creator><eudc:creatorName>Wong O.I.</eudc:creatorName></eudc:creator></eudc:creators><eudc:publishers><eudc:publisher>CDS</eudc:publisher></eudc:publishers><eudc:instruments/><eudc:publicationYear>2026</eudc:publicationYear><eudc:rightsList><eudc:rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</eudc:rights></eudc:rightsList><eudc:fundingReferences/><eudc:contacts><eudc:contact>CDS support team &lt;cds-question@unistra.fr&gt;</eudc:contact></eudc:contacts><eudc:resourceTypes><eudc:resourceType>Dataset</eudc:resourceType><eudc:resourceType>AstroObjects</eudc:resourceType></eudc:resourceTypes><eudc:disciplines><eudc:discipline>astronomy</eudc:discipline></eudc:disciplines></eudc:resource></oai:metadata></oai:record></oai:GetRecord></oai:OAI-PMH>