J/ApJ/799/208ivo://CDS.VizieR/J/ApJ/799/208doi:10.26093/cds/vizier.17990208CDSSanders N.E.Soderberg A.M.Gezari S.Betancourt M.Chornock R.,Berger E.Foley R.J.Challis P.Drout M.Kirshner R.P.Lunnan R.,Marion G.H.Margutti R.McKinnon R.Milisavljevic D.Narayan G.,Rest A.Kankare E.Mattila S.Smartt S.J.Huber M.E.Burgett W.S.,Draper P.W.Hodapp K.W.Kaiser N.Kudritzki R.P.Magnier E.A.,Metcalfe N.Morgan J.S.Price P.A.Tonry J.L.Wainscoat R.J.Waters C.2017-11-29T11:48:05Z2016-06-01T09:30:49ZCDS support team

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

cds-question@unistra.frsupernovaeinfrared-photometryvisible-astronomybroad-band-photometrysurveysredshiftedspectroscopyIn recent years, wide-field sky surveys providing deep multiband imaging have presented a new path for indirectly characterizing the progenitor populations of core-collapse supernovae (SNe): systematic light-curve studies. We assemble a set of 76 grizy-band Type IIP SN light curves from Pan-STARRS1, obtained over a constant survey program of 4yr and classified using both spectroscopy and machine-learning-based photometric techniques. We develop and apply a new Bayesian model for the full multiband evolution of each light curve in the sample. We find no evidence of a subpopulation of fast-declining explosions (historically referred to as "Type IIL" SNe). However, we identify a highly significant relation between the plateau phase decay rate and peak luminosity among our SNe IIP. These results argue in favor of a single parameter, likely determined by initial stellar mass, predominantly controlling the explosions of red supergiants. This relation could also be applied for SN cosmology, offering a standardizable candle good to an intrinsic scatter of <~0.2mag. We compare each light curve to physical models from hydrodynamic simulations to estimate progenitor initial masses and other properties of the Pan-STARRS1 Type IIP SN sample. We show that correction of systematic discrepancies between modeled and observed SN IIP light-curve properties and an expanded grid of progenitor properties are needed to enable robust progenitor inferences from multiband light-curve samples of this kind. This work will serve as a pathfinder for photometric studies of core-collapse SNe to be conducted through future wide-field transient searches.2015ApJ...799..208Shttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/799/208CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/A+A/574/A60 : Light curve templates of SNe Ib/c from SDSS (Taddia+, 2015)J/MNRAS/442/844 : Type II-P supernovae BVRI light curves (Faran+, 2014)J/MNRAS/433/1871 : UBVRI griz light curves of SN 2012aw (Bose+, 2013)J/ApJ/775/125 : Metallicity of galaxies from colors (Sanders+, 2013)J/A+A/558/A131 : Model spectra of hot stars at the pre-SN stage (Groh+, 2013)J/A+A/558/A103 : Stellar models with rotation, Z=0.002 (Georgy+, 2013)J/A+A/555/A142 : Spectra of 5 Type II supernovae (Inserra+, 2013)J/ApJ/750/99 : The Pan-STARRS1 photometric system (Tonry+, 2012)J/A+A/537/A146 : Stellar models with rotation, Z=0.014 (Ekstrom+, 2012)J/ApJ/742/89 : Relations between spectra & colors of SNe Ia (Foley+, 2011)J/ApJ/741/97 : Light curves of Ibc supernovae (Drout+, 2011)J/MNRAS/412/1441 : SNe luminosity functions (Li+, 2011)J/MNRAS/408/827 : Simulations of supernova explosions (Dessart+, 2010)J/ApJ/708/661 : SDSS-II SN Survey: SNe II-P standardization (D'Andrea+, 2010)J/ApJ/699/L139 : Spectral parameters of SNe Ia (Wang+, 2009)J/ApJ/666/674 : ESSENCE supernova survey (Miknaitis+, 2007)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/799/208https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/799/208http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/799/208https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/799/208https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/799/208http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/799/208GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/799/208/table1 (Pan-STARRS1 type IIP SN sample)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/799/208/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/799/208/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/799/208/table1?GETtext/xml+votable180.050000true52.4530625-29.0749750.0055555555555555566/6047 6070 6071 6073 6076 6078 6513 6515 6518 7178 10153 10158 10743 10749 10959 10976 10978 10979 10980 10982 11424 11427 11430 11432 11524 17688 17689 17691 17693 17694 17713 17716 18763 18785 18787 18793 19026 19030 19032 19035 19039 19057 27244 27245 27247 27250 27251 27257 27258 27259 27262 27333 27345 35931 35932 35934 35958 36104 36106https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/799/208?format=asciiInfraredOpticaldefaultJ/ApJ/799/208/table1Pan-STARRS1 type IIP SN samplerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPS1PS1 transient designation (-YYaaa) (G1) (1)meta.id;meta.maincharField[1/10] PS1 Medium Deep Field where transient discoveredmeta.id;obs.fieldintRAJ2000Hour of Right Ascension (J2000)pos.eq.ra;meta.mainDEJ2000Degree of Declination (J2000)pos.eq.dec;meta.mainMJDModified Julian Date of discoverydtime.epochintz[0.04/0.4] Redshift from follow-up spectroscopysrc.redshiftfloatNg[0/30] Number of PS1 g band observationsmeta.numberintNr[1/36] Number of PS1 r band observationsmeta.numberintNi[0/37] Number of PS1 i band observationsmeta.numberintNz[0/30] Number of PS1 z band observationsmeta.numberintNy[0/27] Number of PS1 y band observationsmeta.numberintNpLight curve parameters for this IIP supernovameta.numberintnullableNmSimbad column added by the CDSmeta.codeintnullableSimbadSimbad column added by the CDSmeta.ref.urlcharJ/ApJ/799/208/table2*Pan-STARRS1 type IIP SN light curve parametersE_t0Upper limit uncertainty in t0dstat.error;stat.maxfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintBandPS1 filter used (g, i, r, y or z)meta.code;instr.filtercharPS1PS1 transient designation (G1)meta.id;meta.mainchart0Modified Julian Date of the epoch of explosiondtime.epochfloate_t0Lower limit uncertainty in t0dstat.errorfloatlogalphaLog {alpha} parameterstat.fit.paramfloatE_logalphaUpper limit uncertainty in logalphastat.error;stat.maxfloate_logalphaLower limit uncertainty in logalphastat.error;pos.eq.rafloatlogbeta1Log {beta}_1_ parameterstat.fit.paramfloatE_logbeta1Upper limit uncertainty in logbeta1stat.error;stat.maxfloate_logbeta1Lower limit uncertainty in logbeta1stat.errorfloatlogbeta2Log {beta}_2_ parameterstat.fit.paramfloatE_logbeta2Upper limit uncertainty in logbeta2stat.error;stat.maxfloate_logbeta2Lower limit uncertainty in logbeta2stat.errorfloatlogbetadNLog {beta}_dN_ parameterstat.fit.paramfloatE_logbetadNUpper limit uncertainty in logbetadNstat.error;stat.maxfloate_logbetadNLower limit uncertainty in logbetadNstat.errorfloatlogbetadCLog {beta}_dC_ parameterstat.fit.paramfloatE_logbetadCUpper limit uncertainty in logbetadCstat.error;stat.maxfloate_logbetadCLower limit uncertainty in logbetadCstat.errorfloatt1Rest frame duration of power law rise phasedphys.luminosityfloatE_t1Upper limit uncertainty in t1dstat.error;stat.maxfloate_t1Lower limit uncertainty in t1dstat.errorfloattpDuration of the exponential rise phasedtime.durationintE_tpUpper limit uncertainty in tpdstat.error;stat.maxinte_tpLower limit uncertainty in tpdstat.errorintt2Duration of falling component of plateau phasedtime.durationintE_t2Upper limit uncertainty in t2dstat.error;stat.maxinte_t2Lower limit uncertainty in t2dstat.errorinttdDuration of transitional phasedtime.durationintE_tdUpper limit uncertainty in tddstat.error;stat.maxinte_tdLower limit uncertainty in tddstat.errorintMpk[0.04/8.1] Absolute peak flux (1)magphys.magAbsfloatE_MpkUpper limit uncertainty in Mpkmagstat.error;stat.maxfloate_MpkLower limit uncertainty in Mpkmagstat.errorfloatVmag[0.001/0.5] The V band magnitude (Vega system)magphot.mag;em.opt.VfloatE_Vmag[0.001/0.2] Upper limit uncertainty in Vmagmagstat.error;stat.maxfloate_Vmag[0.001/0.5] Lower limit uncertainty in Vmagmagstat.error;phot.mag;em.opt.VfloatJ/ApJ/799/208/table3SN IIP grizy template light curvesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintEpoch[-15/111] Epoch in rest-frame days since peakdtime.epoch;stat.maxintgmag[0.09/3]? The g band magnitude (1)magphot.mag;arith.difffloatnullableE_gmag? Upper limit uncertainty in gmagmagstat.error;stat.maxfloatnullablee_gmag? Lower limit uncertainty in gmagmagstat.error;phot.mag;em.opt.Bfloatnullablermag[0.06/2]? The r band magnitude (1)magphot.mag;arith.difffloatnullableE_rmag? Upper limit uncertainty in rmagmagstat.error;stat.maxfloatnullablee_rmag? Lower limit uncertainty in rmagmagstat.error;phot.mag;em.opt.Rfloatnullableimag[0.04/1.7]? The i band magnitude (1)magphot.mag;arith.difffloatnullableE_imag? Upper limit uncertainty in imagmagstat.error;stat.maxfloatnullablee_imag? Lower limit uncertainty in imagmagstat.error;phot.mag;em.opt.Ifloatnullablezmag[0.02/1.6]? The z band magnitude (1)magphot.mag;arith.difffloatnullableE_zmag? Upper limit uncertainty in zmagmagstat.error;stat.maxfloatnullablee_zmag? Lower limit uncertainty in zmagmagstat.error;phot.mag;em.opt.Ifloatnullableymag[-0.09/1.2]? The y band magnitude (1)magphot.mag;arith.difffloatnullableE_ymag? Upper limit uncertainty in ymagmagstat.error;stat.maxfloatnullablee_ymag? Lower limit uncertainty in ymagmagstat.error;phot.mag;em.opt.VfloatnullableJ/ApJ/799/208/table5Light curve and modeled progenitor parameters for PS1 SNe IIPe_tplatThe 16th percentile in tplatdstat.errorinte_rmagThe 16th percentile in rmagmagstat.error;phot.mag;em.opt.RfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPS1PS1 transient designation (-YYaaa)meta.id;meta.maincharrmag[-19.7/-14.7] Peak r band magnitude (1)magphot.mag;meta.modelledfloatE_rmagThe 84th percentile in rmagmagstat.error;stat.maxfloattplat[51/127] r band plateau duration (2)dtime.durationintE_tplatThe 84th percentile in tplatdstat.error;stat.maxintlogL50[41/46] Log pseudo-bolometric luminosity at day 50 (3)log(1e+43W)phys.luminosityfloatE_logL50The 84th percentile in logL50log(1e+43W)stat.error;stat.maxfloate_logL50The 16th percentile in logL50log(1e+43W)stat.errorfloatDm15[-1.2/-0.02] Rest frame r band decline ratemagsrc.var.amplitudefloatE_Dm15The 84th percentile in Dm15magstat.error;stat.maxfloate_Dm15The 16th percentile in Dm15magstat.errorfloatMNi[0/27.8] Ejected nickel mass (4)solMassphys.massfloatE_MNi[0/157946] The 84th percentile in MNisolMassstat.error;stat.maxdoublee_MNi[0/24.1] The 16th percentile in MNisolMassstat.errorfloatMin[12/25]? Progenitor initial mass (5)solMassphys.massfloatnullableE_Min[11/24]? The 84th percentile in MinsolMassstat.error;stat.maxfloatnullablee_Min[3/21]? The 16th percentile in MinsolMassstat.error;stat.minfloatnullableR0[660/1340]? Progenitor initial radius (5)solRadphys.size.radiusintnullableB_R0[700/1390]? The 84th percentile in R0solRadphys.size.radius;stat.maxintnullableb_R0[200/1070]? The 16th percentile in R0solRadphys.size.radius;stat.minintnullableE51[2.8/19.4]? Explosion energy in 10^51^erg (5)log(1e+44J)phys.energyfloatnullableE_E51[2.3/540]? The 84th percentile in E51log(1e+44J)stat.error;stat.maxfloatnullablee_E51[1/17.3]? The 16th percentile in E51log(1e+44J)stat.errorfloatnullable