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dc.contributor.authorKessler, Ren
dc.contributor.authorNarayan, Gen
dc.contributor.authorAvelino, Aen
dc.contributor.authorBachelet, Een
dc.contributor.authorBiswas, Ren
dc.contributor.authorBrown, PJen
dc.contributor.authorChernoff, DFen
dc.contributor.authorConnolly, AJen
dc.contributor.authorDai, Men
dc.contributor.authorDaniel, Sen
dc.contributor.authorStefano, RDen
dc.contributor.authorDrout, MRen
dc.contributor.authorGalbany, Len
dc.contributor.authorGonzález-Gaitán, Sen
dc.contributor.authorGraham, MLen
dc.contributor.authorHložek, Ren
dc.contributor.authorIshida, EEOen
dc.contributor.authorGuillochon, Jen
dc.contributor.authorJha, SWen
dc.contributor.authorJones, DOen
dc.contributor.authorMandel, Kaiseyen
dc.contributor.authorMuthukrishna, Den
dc.contributor.authorO’grady, Aen
dc.contributor.authorPeters, CMen
dc.contributor.authorPierel, JRen
dc.contributor.authorPonder, KAen
dc.contributor.authorPrša, Aen
dc.contributor.authorRodney, Sen
dc.contributor.authorVillar, VAen
dc.date.accessioned2019-07-16T23:31:08Z
dc.date.available2019-07-16T23:31:08Z
dc.date.issued2019-09-01en
dc.identifier.issn0004-6280
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/294703
dc.description.abstractWe describe the simulated data sample for the "Photometric LSST Astronomical Time Series Classification Challenge" (PLAsTiCC), a publicly available challenge to classify transient and variable events that will be observed by the Large Synoptic Survey Telescope (LSST), a new facility expected to start in the early 2020s. The challenge was hosted by Kaggle, ran from 2018 September 28 to 2018 December 17, and included 1,094 teams competing for prizes. Here we provide details of the 18 transient and variable source models, which were not revealed until after the challenge, and release the model libraries at this https URL. We describe the LSST Operations Simulator used to predict realistic observing conditions, and we describe the publicly available SNANA simulation code used to transform the models into observed fluxes and uncertainties in the LSST passbands (ugrizy). Although PLAsTiCC has finished, the publicly available models and simulation tools are being used within the astronomy community to further improve classification, and to study contamination in photometrically identified samples of type Ia supernova used to measure properties of dark energy. Our simulation framework will continue serving as a platform to improve the PLAsTiCC models, and to develop new models.
dc.publisherInstitute of Physics Publishing
dc.rightsAll rights reserved
dc.rights.uri
dc.titleModels and simulations for the photometric lsst astronomical time series classification challenge (Plasticc)en
dc.typeArticle
prism.issueIdentifier1003en
prism.publicationDate2019en
prism.publicationNamePublications of the Astronomical Society of the Pacificen
prism.volume131en
dc.identifier.doi10.17863/CAM.41808
dcterms.dateAccepted2019-06-04en
rioxxterms.versionofrecord10.1088/1538-3873/ab26f1en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-09-01en
dc.contributor.orcidMandel, Kaisey [0000-0001-9846-4417]
dc.identifier.eissn1538-3873
rioxxterms.typeJournal Article/Reviewen
cam.orpheus.successThu Jan 30 10:41:53 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2020-09-01


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