{"paper":{"title":"Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.HE","authors_text":"A. Avelino, A. J. Connolly, A. O'Grady, A. Pr\\v{s}a, C. M. Peters, D. F. Chernoff, D. Muthukrishna, D. O. Jones, E. Bachelet, E. E. O. Ishida, G. Narayan, J. Guillochon, J. R. Pierel, K. A. Ponder, K. S. Mandel, L. Galbany, M. Dai, M. L. Graham, M. R. Drout, P. J. Brown, R. Biswas, R. Di Stefano, R. Hlo\\v{z}ek, R. Kessler, S. Daniel, S. Gonz\\'alez-Gait\\'an, S. Rodney, S. W. Jha, V. A. Villar","submitted_at":"2019-03-28T02:03:11Z","abstract_excerpt":"We 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 li"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11756","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1903.11756/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}