J/A+A/687/A108ivo://CDS.VizieR/J/A+A/687/A108doi:10.26093/cds/vizier.36870108CDSGonzalez-Gaitan S.Gutierrez C.P.Anderson J.P.Morales-Garoffolo A.,Galbany L.Goswami S.Mourao A.M.Mattila S.Sullivan M.2025-02-28T13:00:40Z2024-07-02T08:20:11ZCDS support team

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

cds-question@unistra.frsupernovaeredshiftedNarrow absorption features in nearby supernova (SN) spectra are a powerful diagnostic of the slow-moving material in the line of sight: they are extensively used to infer dust extinction from the host galaxies, and they can also serve in the detection of circumstellar material originating from the SN progenitor and present in the vicinity of the explosion. Despite their wide use, very few studies have examined the biases of the methods to characterize narrow lines, and not many statistical analyses exist. This is the first paper of a series in which we present a statistical analysis of narrow lines of SN spectra of various resolutions. We develop a robust automated methodology to measure the equivalent width (EW) and velocity of narrow absorption lines from intervening material in the line of sight of SNe, including NaI D, Ca II H&K, KI and diffuse interstellar bands (DIBs). We carefully study systematic biases in heterogeneous spectra from the literature by simulating different signal-to-noise, spectral resolution, slit size and orientation and present the real capabilities and limitations of using low- and mid-resolution spectra to study these lines. In particular, we find that the measurement of the equivalent width of the narrow lines in low-resolution spectra is highly affected by the evolving broad P-Cygni profiles of the SN ejecta, both for core-collapse and type Ia SNe, inducing a conspicuous apparent evolution. Such pervading non-physical evolution of narrow lines might lead to wrong conclusions on the line-of-sight material, e.g. concerning circumstellar material ejected from the SN progenitors. We present thus an easy way to detect and exclude those cases to obtain more robust and reliable measurements. Finally, after considering all possible effects, we analyse the temporal evolution of the narrow features in a large sample of nearby SNe to detect any possible variation in their EWs over time. We find no time evolution of the narrow line features in our large sample for all SN types.2024A&A...687A.108Ghttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/687/A108CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/687/A108https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/687/A108http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/687/A108https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/687/A108https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/687/A108http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/687/A108GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/687/A108/tabled1 (SNe initially included in our 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Should Not be used for identification.meta.recordintNameSN namemeta.id;meta.maincharTypeSN typesrc.classcharzspSpectroscopic redshiftsrc.redshiftcharNspNumber of spectrameta.numbercharRefsReferencesmeta.ref;pos.framecharSimbadNameSimbad column added by the CDSmeta.idcharnullable_RARight Ascension (J2000) from SIMBAD (not part of the original data)degpos.eq.ra;meta.mainnullable_DEDeclination (J2000) from SIMBAD (not part of the original data)degpos.eq.dec;meta.mainnullableJ/A+A/687/A108/refsReferencesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRefReference codemeta.notecharBibCodebibCodemeta.bib.bibcodecharComCommentsmeta.notechar