{"paper":{"title":"Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.CO","authors_text":"A. A. Plazas Malag\\'on, A. Carnero Rosell, A. Farahi, A. K. Romer, A. Palmese, A. Pieres, B. Flaugher, B. Santiago, B. Welch, C. Lidman, D. Brooks, DES Collaboration, D. Gruen, D. J. James, D. L. Hollowood, D. Sanchez Cid, E. Sanchez, E. Suchyta, F. Andrade-Oliveira, G. Gutierrez, H. Lin, H.-Y. Wu, I. Sevilla-Noarbe, J. Annis, J. Carretero, J. De Vicente, J. Frieman, J. Garc\\'ia-Bellido, J. H. Esteves, J. L. Marshall, J. Mena-Fern\\'andez, J. Myles, K. Honscheid, K. Kuehn, L. N. da Costa, M. Aguena, M. Costanzi, M. E. C. Swanson, M. E. S. Pereira, M. Lima, M. Schubnell, M. Smith, M. Soares-Santos, M. Yamamoto, N. Weaverdyck, O. Alves D. Bacon, P. Barchi, P. Doel, P. Wiseman, R. A. Gruendl, R. L. C. Ogando, R. Miquel, S. Bocquet, S. Everett, S. R. Hinton","submitted_at":"2024-01-22T15:40:58Z","abstract_excerpt":"Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions.\n  We use simulations to validate Copacabana and we show that it achieves up "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.12049","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.12049/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"}