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<ri:Resource created="2024-04-26T12:17:24Z" 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>Sorting of 4XMM-DR9 sources by machine learning</title><shortName>J/MNRAS/503/5263</shortName><identifier>ivo://CDS.VizieR/J/MNRAS/503/5263</identifier><altIdentifier>doi:10.26093/cds/vizier.75035263</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Zhang Y.</name></creator><creator><name>Zhao Y.</name></creator><creator><name>Wu X.-B.</name></creator><date role="Updated">2024-11-06T20:33:29Z</date><date role="Created">2024-04-26T12:17:24Z</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>x-ray-sources</subject><subject>visible-astronomy</subject><subject>infrared-sources</subject><subject>galaxies</subject><subject>quasars</subject><description>The ESA's X-ray Multi-mirror Mission (XMM-Newton) created a new high-quality version of the XMM-Newton serendipitous source catalogue, 4XMM-DR9, which provides a wealth of information for observed sources. The 4XMM-DR9 catalogue is correlated with the Sloan Digital Sky Survey (SDSS) DR12 photometric data base and the AllWISE data base; we then get X-ray sources with information from the X-ray, optical, and/or infrared bands and obtain the XMM-WISE, XMM-SDSS, and XMM-WISE-SDSS samples. Based on the large spectroscopic surveys of SDSS and the Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST), we cross-match the XMM-WISE-SDSS sample with sources of known spectral classes, and obtain known samples of stars, galaxies, and quasars. The distribution of stars, galaxies, and quasars as well as all spectral classes of stars in 2D parameter space is presented. Various machine-learning methods are applied to different samples from different bands. The better classified results are retained. For the sample from the X-ray band, a rotation-forest classifier performs the best. For the sample from the X-ray and infrared bands, a random-forest algorithm outperforms all other methods. For the samples from the X-ray, optical, and/or infrared bands, the LogitBoost classifier shows its superiority. Thus, all X-ray sources in the 4XMM-DR9 catalogue with different input patterns are classified by their respective models that are created by these best methods. Their membership of and membership probabilities for individual X-ray sources are assigned. The classified result will be of great value for the further research of X-ray sources in greater detail.</description><source format="bibcode">2021MNRAS.503.5263Z</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/503/5263</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><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/IX/59">IX/59 : XMM-Newton Serendipitous Source Catalogue 4XMM-DR9 (Webb+, 2020)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/V/147">V/147 : The SDSS Photometric Catalogue, Release 12 (Alam+, 2015)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/328">II/328 : AllWISE Data Release (Cutri+ 2013)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/V/146">V/146 : LAMOST DR1 catalogs (Luo+, 2015)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/VII/286">VII/286 : SDSS quasar catalog, fourteenth data release (Paris+, 2018)</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/503/5263</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/503/5263</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/503/5263</mirrorURL></interface></capability><capability><interface xsi:type="vs:ParamHTTP"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/503/5263</accessURL><mirrorURL 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41581 41583-41584 41586 41591-41593 41595 41597-41599 41602-41603 41605 41607-41609 41618 41627-41628 41630-41631 41642-41643 41653-41655 41658 41660 41662 41664 41667 41670-41671 41674 41684-41686 41692 41701 41712-41713 41716 41718-41719 41730-41731 41735-41737 41739 41741 41743 41749 41755-41756 41758 41767 41777-41780 41790 41795 41798 41802 41808-41809 41812 41814-41815 41820 41822-41823 41845 41847 41860-41862 41873 41876-41877 41916 41923 41926 41943 41949 41951 41964 41966 41982-41983 41986-41987 42003 42006 42016 42018 42023 42027 42032 42034 42080-42081 42113-42115 42120-42121 42125 42137 42140 42157 42159 42177 42179-42180 42182 42188-42189 42196 42206-42207 42210-42211 42213-42217 42220-42221 42223 42228-42230 42232 42248-42249 42277 42288 42290 42293 42296 42314-42315 42333 42336 42347 42353 42356 42358 42362 42364 42366 42370-42371 42373 42376 42378 42384 42386-42387 42389-42391 42396-42397 42400-42401 42405 42409 42416-42417 42419 42429 42431 42433-42436 42438-42441 42443 42448 42450-42451 42457 42460-42461 42463-42464 42468 42483 42485 42487 42491 42493 42496 42498 42500 42502 42507 42510-42511 42514-42515 42530 42532-42533 42535 42540 42542 42547 42583 42595 42599 42605 42610-42611 42614 42626 42630-42633 42636 42644 42646 42652-42653 42664 42666 42672 42674 42678 42684 42694 42697 42700 42704 42714-42715 42720 42727 42742-42743 42799 42820 42822-42823 42825 42841 42844 42852 42889 42891 42910 42913 42916 42919 42924-42925 42948 42959 42963 42966 42969-42970 42972 42977-42981 42983-42984 42989-42992 42994 43000 43008-43009 43012 43014-43015 43018 43022 43024 43028 43035-43036 43038 43040 43042 43044 43057 43060 43064-43065 43075 43078 43081 43099 43110 43135 43139 43145 43178 43199 43214 43221 43225 43227 43233 43236 43240 43242 43257-43259 43291 43294 43302 43306-43308 43310 43313 43315-43316 43321 43326 43337-43340 43342 43348 43386-43387 43390-43392 43407 43412 43416-43417 43420 43429 43433 43435 43450-43451 43458 43476-43477 43506 43518 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Source classification for the third classifier machine learning method (LogitBoost classifiers X-ray and optical bands information only) (Class_xo)</description><ucd>meta.code.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="6*">char</dataType></column><column><name>PXO</name><description>? The classification probabilities deducted for source that only have the X-ray and optical bands (P_xo)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>ClassXI</name><description>? Source classification for the second classifier machine learning method (random-forest classifier X-ray and infrared bands information only) (Class_xi)</description><ucd>meta.code.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="6*">char</dataType></column><column><name>PXI</name><description>? 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