J/ApJ/869/167ivo://CDS.VizieR/J/ApJ/869/167doi:10.26093/cds/vizier.18690167CDSSaunders C.Aldering G.Antilogus P.Bailey S.Baltay C.Barbary K.,Baugh D.Boone K.Bongard S.Buton C.Chen J.Chotard N.Copin Y.,Dixon S.Fagrelius P.Fakhouri H.K.Feindt U.Fouchez D.Gangler E.,Hayden B.Hillebrandt W.Kim A.G.Kowalski M.Kusters D.Leget P.-F.,Lombardo S.Nordin J.Pain R.Pecontal E.Pereira R.Perlmutter S.,Rabinowitz D.Rigault M.Rubin D.Runge K.Smadja G.Sofiatti C.,Suzuki N.Tao C.Taubenberger S.Thomas R.C.Vincenzi M.,(the Nearby Supernova Factory)2020-05-28T08:37:23Z2020-04-06T08:34:29ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frastronomical-modelssupernovaespectroscopySN Ia cosmology depends on the ability to fit and standardize observations of supernova magnitudes with an empirical model. We present here a series of new models of SN Ia spectral time series that capture a greater amount of supernova diversity than is possible with the models that are currently customary. These are entitled SuperNova Empirical MOdels (SNEMO; https://snfactory.lbl.gov/snemo). The models are constructed using spectrophotometric time series from 172 individual supernovae from the Nearby Supernova Factory, comprising more than 2000 spectra. Using the available observations, Gaussian processes are used to predict a full spectral time series for each supernova. A matrix is constructed from the spectral time series of all the supernovae, and Expectation Maximization Factor Analysis is used to calculate the principal components of the data. K-fold cross-validation then determines the selection of model parameters and accounts for color variation in the data. Based on this process, the final models are trained on supernovae that have been dereddened using the Fitzpatrick and Massa extinction relation. Three final models are presented here: SNEMO2, a two-component model for comparison with current Type Ia models; SNEMO7, a seven-component model chosen for standardizing supernova magnitudes, which results in a total dispersion of 0.100mag for a validation set of supernovae, of which 0.087mag is unexplained (a total dispersion of 0.113mag with an unexplained dispersion of 0.097mag is found for the total set of training and validation supernovae); and SNEMO15, a comprehensive 15-component model that maximizes the amount of spectral time-series behavior captured.2018ApJ...869..167Shttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/869/167CatalogResearchIsServedByTAP VizieR generic servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/869/167https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/869/167http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/869/167https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/869/167https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/869/167http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/869/167GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapdefaultJ/ApJ/869/167/table3Training and Validation Set Model ParametersrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPhase[-10/46] SN phasedtime.phaseintlambdaWavelength (Angstroems)0.1nmem.wlintSNEMO2c0The SNEMO2c0 parameterstat.fit.paramdoubleSNEMO2c1The SNEMO2c1 parameterstat.fit.paramdoubleSNEMO7c0The SNEMO7c0 parameterstat.fit.paramdoubleSNEMO7c1The SNEMO7c1 parameterstat.fit.paramdoubleSNEMO7c2The SNEMO7c2 parameterstat.fit.paramdoubleSNEMO7c3The SNEMO7c3 parameterstat.fit.paramdoubleSNEMO7c4The SNEMO7c4 parameterstat.fit.paramdoubleSNEMO7c5The SNEMO7c5 parameterstat.fit.paramdoubleSNEMO7c6The SNEMO7c6 parameterstat.fit.paramdoubleSNEMO15c0The SNEMO15c0 parameterstat.fit.paramdoubleSNEMO15c1The SNEMO15c1 parameterstat.fit.paramdoubleSNEMO15c2The SNEMO15c2 parameterstat.fit.paramdoubleSNEMO15c3The SNEMO15c3 parameterstat.fit.paramdoubleSNEMO15c4The SNEMO15c4 parameterstat.fit.paramdoubleSNEMO15c5The SNEMO15c5 parameterstat.fit.paramdoubleSNEMO15c6The SNEMO15c6 parameterstat.fit.paramdoubleSNEMO15c7The SNEMO15c7 parameterstat.fit.paramdoubleSNEMO15c8The SNEMO15c8 parameterstat.fit.paramdoubleSNEMO15c9The SNEMO15c9 parameterstat.fit.paramdoubleSNEMO15c10The SNEMO15c10 parameterstat.fit.paramdoubleSNEMO15c11The SNEMO15c11 parameterstat.fit.paramdoubleSNEMO15c12The SNEMO15c12 parameterstat.fit.paramdoubleSNEMO15c13The SNEMO15c13 parameterstat.fit.paramdoubleSNEMO15c14The SNEMO15c14 parameterstat.fit.paramdoubleJ/ApJ/869/167/list*List of spectrarecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameModel namemeta.id;stat.param;meta.modelledcharPhasePhasetime.phasefloatspShow the spectrummeta.ref.urlcharFileNameName of the spectrum file in subdirectory spmeta.id;meta.filechar