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<ri:Resource created="2020-04-14T10:42:22Z" 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>4FGL blazar classification neural network</title><shortName>J/MNRAS/493/1926</shortName><identifier>ivo://CDS.VizieR/J/MNRAS/493/1926</identifier><altIdentifier>doi:10.26093/cds/vizier.74931926</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Kovacevic M.</name></creator><creator><name>Chiaro G.</name></creator><creator><name>Cutini S.</name></creator><creator><name>Tosti G.</name></creator><date role="Updated">2024-08-20T20:16:13Z</date><date role="Created">2020-04-14T10:42:22Z</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>active-galactic-nuclei</subject><subject>bl-lacertae-objects</subject><subject>gamma-ray-astronomy</subject><description>The Fermi Large Area Telescope (LAT) has detected more than 5000 gamma-ray sources in its first 8 years of operation. More than 3000 of them are blazars. About 60 per cent of the Fermi-LAT blazars are classified as BL Lacertae objects (BL Lacs) or Flat Spectrum Radio Quasars (FSRQs), while the rest remain of uncertain type. The goal of this study was to classify those blazars of uncertain type, using a supervised machine learning method based on an artificial neural network, by comparing their properties to those of known gamma-ray sources. Probabilities for each of 1329 uncertain blazars to be a BL Lac or FSRQ are obtained. Using 90 per cent precision metric, 801 can be classified as BL Lacs and 406 as FSRQs while 122 still remain unclassified. This approach is of interest because it gives a fast preliminary classification of uncertain blazars. We also explored how different selections of training and testing samples affect the classification and discuss the meaning of network outputs.</description><source format="bibcode">2020MNRAS.493.1926K</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/493/1926</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/J/ApJ/810/14">J/ApJ/810/14 : Third catalog of LAT-detected AGNs (3LAC) (Ackermann+, 2015)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJS/218/23">J/ApJS/218/23 : Fermi LAT third source catalog (3FGL) (Acero+, 2015)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJ/820/8">J/ApJ/820/8 : 3FGL sources statistical classifications</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/462/3180">J/MNRAS/462/3180 : 3FGL Blazar of Unknown Type classification (Chiaro+, 2016)</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/493/1926</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/493/1926</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/493/1926</mirrorURL></interface></capability><capability><interface xsi:type="vs:ParamHTTP"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/493/1926</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/493/1926</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/493/1926</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface></capability><capability standardID="ivo://ivoa.net/std/TAP#aux"><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://tapvizier.cds.unistra.fr/TAPVizieR/tap</accessURL></interface></capability><capability xsi:type="cs:ConeSearch" standardID="ivo://ivoa.net/std/ConeSearch"><description>Cone search capability for table J/MNRAS/493/1926/table2 (*BL Lac probability for each BCU in 4FGL catalog (v19) in ascending order)</description><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/493/1926/table2?</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/493/1926/table2?</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/493/1926/table2?</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface><maxSR>180.0</maxSR><maxRecords>50000</maxRecords><verbosity>true</verbosity><testQuery><ra>348.40004</ra><dec>39.76445</dec><sr>0.005555555555555556</sr></testQuery></capability><coverage><spatial>6/90 137 143 189 226 465 530 543 556 576 583 714 720 731 739 743 800 817 893 897 961 974 1029 1032 1087 1094 1116 1125 1163 1203 1233 1250 1312 1315 1342 1390 1462 1539 1551 1611 1626 1632 1680 1703 1740-1741 1768 1853 1888 1973 1984-1985 2031 2042 2078 2094 2255 2331 2357 2376 2434 2439 2492 2531 2568 2603 2643 2646 2654 2667 2704 2722 2751 2754 2788 2817 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The format may include more digits than the original data because of internal accuracy requirements in VizieR and across other CDS services)</description><unit>deg</unit><ucd>pos.eq.ra</ucd><flag>nullable</flag><flag>indexed</flag></column><column><name>_DE.icrs</name><description>Declination (ICRS) (computed by VizieR, not part of the original data. The format may include more digits than the original data because of internal accuracy requirements in VizieR and across other CDS services)</description><unit>deg</unit><ucd>pos.eq.dec</ucd><flag>nullable</flag><flag>indexed</flag></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>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Name</name><description>BCU name in 4FGL catalog (4FGL_JHHMM.m+DDMM)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="17*">char</dataType></column><column><name>GLAT</name><description>Galactic latitude (1)</description><unit>deg</unit><ucd>pos.galactic.lat</ucd></column><column><name>GLON</name><description>Galactic longitude (1)</description><unit>deg</unit><ucd>pos.galactic.lon</ucd></column><column><name>Lb</name><description>[0/1]=+ BL Lac probability (2)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>b_Lb</name><description>[0/1] Lower limit of error interval of Lb (3)</description><ucd>stat.error;time.interval;stat.min</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>B_Lb</name><description>[0/1] Upper limit of error interval of Lb (3)</description><ucd>stat.error;time.interval;stat.max</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column></table></schema></tableset></ri:Resource>