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<ri:Resource created="2024-10-23T09:46:38Z" status="active" updated="2025-05-19T09:50:00Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>Hidden repeating fast radio bursts</title><shortName>J/MNRAS/509/1227</shortName><identifier>ivo://CDS.VizieR/J/MNRAS/509/1227</identifier><altIdentifier>doi:10.26093/cds/vizier.75091227</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Chen B.H.</name></creator><creator><name>Hashimoto T.</name></creator><creator><name>Goto T.</name></creator><creator><name>Kim S.J.</name></creator><creator><name>Santos D.J.D.</name></creator><creator><name>On A.Y.L.,Lu T.-Y.</name></creator><creator><name>Hsiao T.Y.-Y.</name></creator><date role="Updated">2025-02-12T20:11:55Z</date><date role="Created">2024-10-23T09:46:38Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>radio-sources</subject><description>The origins of fast radio bursts (FRBs), astronomical transients with millisecond time-scales, remain unknown. One of the difficulties stems from the possibility that observed FRBs could be heterogeneous in origin; as some of them have been observed to repeat, and others have not. Due to limited observing periods and telescope sensitivities, some bursts may be misclassified as non- repeaters. Therefore, it is important to clearly distinguish FRBs into repeaters and non-repeaters, to better understand their origins. In this work, we classify repeaters and non-repeaters using unsupervised machine learning, without relying on expensive monitoring observations. We present a repeating FRB recognition method based on the Uniform Manifold Approximation and Projection (UMAP). The main goals of this work are to: (i) show that the unsupervised UMAP can classify repeating FRB population without any prior knowledge about their repetition, (ii) evaluate the assumption that non-repeating FRBs are contaminated by repeating FRBs, and (iii) recognize the FRB repeater candidates without monitoring observations and release a corresponding catalogue. We apply our method to the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) data base. We found that the unsupervised UMAP classification provides a repeating FRB completeness of 95 per cent and identifies 188 FRB repeater source candidates from 474 non-repeater sources. This work paves the way to a new classification of repeaters and non-repeaters based on a single epoch observation of FRBs.</description><source format="bibcode">2022MNRAS.509.1227C</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/509/1227</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship></content><rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</rights><capability><interface xsi:type="vr:WebBrowser"><accessURL use="full">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/509/1227</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/509/1227</mirrorURL><mirrorURL 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J/MNRAS/509/1227/table (CHIME FRB ML classification)</description><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/509/1227/table?</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/509/1227/table?</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/509/1227/table?</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface><maxSR>180.0</maxSR><maxRecords>50000</maxRecords><verbosity>true</verbosity><testQuery><ra>93.42</ra><dec>67.07</dec><sr>0.005555555555555556</sr></testQuery></capability><coverage><spatial>6/455 494 637 663 692 719 771 787 822 971 982 1199 1238 1267 1277 1320 1398 1454 1629 1654 1742 1832 1858 1885 2023 2034 2056 2065 2085 2088 2099 2123 2182 2327 2356 2773 2823 2876 2914 2916 2971 3029 3084 3117 3147 3178 3199 3318 3328 3350 3386 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Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>TNSName</name><description>Name ID provided for each burst, FRBYYYYMMDDA (1)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="12*">char</dataType></column><column><name>Class</name><description>[-1/1]? FRB classification provides by machine learning model (2)</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>Group</name><description>Clustering result for machine learning model output, see Fig.3 of the paper</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>Xpos</name><description>The x coordinate of the low dimensional projection of each FRB, see Fig.2, 3, 4 of the paper</description><ucd>pos.cartesian.x;instr.det</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>Ypos</name><description>The y coordinate of the low dimensional projection of each FRB, see Fig.2, 3, 4 of the paper</description><ucd>pos.cartesian.y;instr.det</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>Simbad</name><description>Simbad column added by the CDS</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>_RA</name><description>Right Ascension (J2000) from SIMBAD (not part of the original data)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd></column><column><name>_DE</name><description>Declination (J2000) from SIMBAD (not part of the original data)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd></column></table></schema></tableset></ri:Resource>