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<ri:Resource created="2025-07-01T12:19:01Z" status="active" updated="2025-08-01T08:20:05Z" 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>Solar analogs abundances</title><shortName>J/A+A/699/A46</shortName><identifier>ivo://CDS.VizieR/J/A+A/699/A46</identifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Martos G.</name></creator><creator><name>Melendez J.</name></creator><creator><name>Spina L.</name></creator><creator><name>Lucatello S.</name></creator><date role="Updated">2025-08-01T08:20:05Z</date><date role="Created">2025-07-01T12:19:01Z</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>milky-way-galaxy</subject><subject>g-stars</subject><subject>chemical-abundances</subject><description>The aim of this work was to obtain precise atmospheric parameters and chemical abundances automatically for solar twins, in order to find signatures of exoplanets, assess how peculiar is the Sun compared to these stars and analyze possible fine structures in the Galactic thin disk. We developed a Neural Network algorithm using python to derive atmospheric parameters and chemical abundances for a sample of 99 solar twins previously studied in the literature directly from normalized high-quality spectra from HARPS, with resolving power R~115000 and signal-to-noise ratio S/N&gt;400. Results. We obtained precise atmospheric parameters and abundance ratios [X/Fe] of 20 chemical elements (Li, C, O, Na, Mg, Al, Si, S, Ca, Sc, Ti, V, Cr, Mn, Co, Ni, Cu, Zn, Y and Ba). The results obtained are in line with the literature, with average differences and standard deviations of (2+/-27)K for Teff , (0.00+/-0.06)dex for logg, (0.00+/-0.02)dex for [Fe/H], (-0.01+/-0.05)km/s for micro turbulence velocity (vt), (0.02+/-0.08)km/s for macro turbulence velocity (vmacro) and (-0.12+/-0.26)km/s for projected rotational velocity (vsini). Regarding the chemical abundances, most of the elements agree with the literature within 0.01-0.02dex. The abundances were corrected from the effects of the Galactic Chemical Evolution through a fitting versus the age of the stars and analyzed with the condensation temperature (Tcond ) to verify if the stars presented depletion of refractories compared to volatiles. We found that the Sun is more depleted in refractory elements compared to volatiles than 89% of the studied solar twins, with a significance of 9.5{sigma} when compared to the stars without detected exoplanets. We also found the possible presence of three subpopulations in the solar twins, one Cu-rich, one Cu-poor, and the other slightly older and poor in Na.</description><source format="bibcode">2025A&amp;A...699A..46M</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/699/A46</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/A+A/699/A46</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/699/A46</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/699/A46</mirrorURL></interface></capability><capability><interface xsi:type="vs:ParamHTTP"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/699/A46</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/699/A46</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/699/A46</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/A+A/699/A46/tablea1 (Stellar parameters obtained using Neural Networks)</description><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/699/A46/tablea1?</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/699/A46/tablea1?</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/699/A46/tablea1?</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface><maxSR>180.0</maxSR><maxRecords>50000</maxRecords><verbosity>true</verbosity><testQuery><ra>32.7170025</ra><dec>13.6832783</dec><sr>0.005555555555555556</sr></testQuery></capability><coverage><spatial>6/222 548 4128 4206 4313 4665 8244 8286 8614 8792 12341 12890 17177 17301 17341 17419 17572 17587 17721 17929 17970 18209 18373 19491 20701 21114 21177 21516 23342 23583 23661 23780 23873 25225 25854 26160 26496 26652 26768 26888 27254 28961 29422 29900 30878 30894 31029 31433 31945 32787 33252 34983 35954 36453 36517 36590 36635 37515 37944 38279 38562 39557 39570 39576 39693 39801 39854 40105 40892 40921 40932 41912 41935 42157 42228 42656 42700 42887 43105 43327 43845 43929 44131 45182 45640 46056 46172 46193 46487 46681 46734 46933 47137 47194 47590 48310 48607 48807 49114</spatial><footprint ivo-id="ivo://ivoa.net/std/moc">https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/699/A46?format=ascii</footprint></coverage><tableset><schema><name>default</name><table><name>J/A+A/699/A46/tablea1</name><description>Stellar parameters obtained using Neural Networks</description><column><name>recno</name><description>Record number assigned by the VizieR team. 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xsi:type="vs:VOTableType">float</dataType></column><column><name>[Ca/Fe]</name><description>Abundance [Ca/Fe]</description><ucd>phys.abund</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_[Ca/Fe]</name><description>rms uncertainty on [Ca/Fe]</description><ucd>stat.error;phys.abund</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>[Sc/Fe]</name><description>Abundance [Sc/Fe]</description><ucd>phys.abund</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_[Sc/Fe]</name><description>rms uncertainty on [Sc/Fe]</description><ucd>stat.error;phys.abund</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>[Ti/Fe]</name><description>Abundance [Ti/Fe]</description><ucd>phys.abund</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_[Ti/Fe]</name><description>rms uncertainty on [Ti/Fe]</description><ucd>stat.error;phys.abund</ucd><dataType 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