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<ri:Resource created="2020-04-17T07:15:07Z" status="active" updated="2025-05-19T09:50:00Z" version="1.2" 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/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>The SUGAR model. Training dataset</title><shortName>J/A+A/636/A46</shortName><identifier>ivo://CDS.VizieR/J/A+A/636/A46</identifier><altIdentifier>doi:10.26093/cds/vizier.36360046</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Leget P.-F.</name></creator><creator><name>Gangler E.</name></creator><creator><name>Mondon F.</name></creator><creator><name>Aldering G.</name></creator><creator><name>Antilogus P.</name></creator><creator><name>Aragon C.,Bailey S.</name></creator><creator><name>Baltay C.</name></creator><creator><name>Barbary K.</name></creator><creator><name>Bongard S.</name></creator><creator><name>Boone K.</name></creator><creator><name>Buton C.,Chotard N.</name></creator><creator><name>Copin Y.</name></creator><creator><name>Dixon S.</name></creator><creator><name>Fagrelius P.</name></creator><creator><name>Feindt U.</name></creator><creator><name>Fouchez D.,Hayden B.</name></creator><creator><name>Hillebrandt W.</name></creator><creator><name>Kim A.</name></creator><creator><name>Kowalski M.</name></creator><creator><name>Kuesters D.</name></creator><creator><name>Lombardo S.,Lin Q.</name></creator><creator><name>Nordin J.</name></creator><creator><name>Pain R.</name></creator><creator><name>Pecontal E.</name></creator><creator><name>Pereira R.</name></creator><creator><name>Perlmutter S.,Ponder K. A.</name></creator><creator><name>Pruzhinskaya M.V.</name></creator><creator><name>Rabinowitz D.</name></creator><creator><name>Rigault M.</name></creator><creator><name>Runge K.,Rubin D.</name></creator><creator><name>Saunders C.</name></creator><creator><name>Says L.-P.</name></creator><creator><name>Smadja G.</name></creator><creator><name>Sofiatti C.</name></creator><creator><name>Suzuki N.,Taubenberger S.</name></creator><creator><name>Tao C.</name></creator><creator><name>Thomas R.C.</name></creator><creator><name>(The Nearby Supernova Factory)</name></creator><date role="Updated">2020-07-22T08:18:57Z</date><date role="Created">2020-04-17T07:15:07Z</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>supernovae</subject><subject>spectrophotometry</subject><subject>line-intensities</subject><description>This analysis develops a new SNe Ia spectral energy distribution (SED) model, called the SUpernova Generator And Reconstructor (SUGAR), which improves the spectral description of SNe Ia, and consequently could improve the distance measurements. This model was constructed from SNe Ia spectral properties and spectrophotometric data from the Nearby Supernova Factory collaboration. In a first step, a principal component analysis-like method was used on spectral features measured at maximum light, which allowed us to extract the intrinsic properties of SNe Ia. Next, the intrinsic properties were used to extract the average extinction curve. Third, an interpolation using Gaussian processes facilitated using data taken at different epochs during the lifetime of an SN Ia and then projecting the data on a fixed time grid. Finally, the three steps were combined to build the SED model as a function of time and wavelength. This is the SUGAR model. The proper way to cite the data can be found at https://snfactory.lbl.gov/snf/data/index.html</description><source format="bibcode">2020A&amp;A...636A..46L</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/636/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>related-to</relationshipType><relatedResource>https://snfactory.lbl.gov/snf/data/index.html : SNfactory Data Releases</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/636/A46</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/636/A46</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/636/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/636/A46</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/636/A46</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/636/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><coverage><footprint ivo-id="ivo://ivoa.net/std/moc"/></coverage><tableset><schema><name>default</name><table><name>J/A+A/636/A46/features</name><description>Spectral features used in this work</description><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>Nsp</name><description>Number of spectra in sp subdirectory</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Name</name><description>Supernova name</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType" arraysize="17*">char</dataType></column><column><name>W(CaHK)</name><description>CaII H&amp;K equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth;em.IR.H</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(CaHK)</name><description>rms uncertainty on W(CaHK)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(Si4128)</name><description>SiII {lambda}4128 equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(Si4128)</name><description>rms uncertainty on W(Si4128)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(Mg)</name><description>MgII equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(Mg)</name><description>rms uncertainty on W(Mg)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(Fe)</name><description>Fe {lambda}4800 equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(Fe)</name><description>rms uncertainty on W(Fe)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(S)</name><description>SII equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(S)</name><description>rms uncertainty on W(S)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(Si5972)</name><description>SiII {lambda}5972 equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(Si5972)</name><description>rms uncertainty on W(Si5972)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(Si6355)</name><description>SiII {lambda}6355 equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(Si6355)</name><description>rms uncertainty on W(Si6355)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(O)</name><description>OI {lambda}7773 equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>e_W(O)</name><description>rms uncertainty on W(O)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>W(CaIR)</name><description>CaII IR equivalent width</description><unit>0.1nm</unit><ucd>spect.line.eqWidth;em.IR</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>e_W(CaIR)</name><description>rms uncertainty on W(CaIR)</description><unit>0.1nm</unit><ucd>stat.error</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>V(Si4128)</name><description>? 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