{"paper":{"title":"Bayesian Classification of Astronomical Objects -- and what is behind it","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an","physics.hist-ph","stat.ME"],"primary_cat":"astro-ph.IM","authors_text":"(2) Max-Planck-Institute for Astrophysics, Garching b. M\\\"unchen, Germany), J\\\"org P. Rachen ((1) Department of Astrophysics/IMAPP, Radboud University Nijmegen, The Netherlands","submitted_at":"2013-02-11T09:57:14Z","abstract_excerpt":"We present a Bayesian method for the identification and classification of objects from sets of astronomical catalogs, given a predefined classification scheme. Identification refers here to the association of entries in different catalogs to a single object, and classification refers to the matching of the associated data set to a model selected from a set of parametrized models of different complexity. By the virtue of Bayes' theorem, we can combine both tasks in an efficient way, which allows a largely automated and still reliable way to generate classified astronomical catalogs. A problem t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.2429","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"}