{"paper":{"title":"J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. Ederoclite, A. Hern\\'an-Caballero, A. Mar\\'in-Franch, A. Tamm, B. McCarthy, C. Hern\\'andez-Monteagudo, C. L\\'opez-Sanjuan, C. M. de Oliveira, D. Crist\\'obal-Hornillos, E. Tempel, F. Roig, H. V\\'azquez Rami\\'o, J. Alcaniz, J.A. Mansour, J. Cenarro, J. Laur, J. Liu, J. Schaye, J. Varela, J. Vilchez, J. Zaragoza-Cardiel, K. Taylor, L. J. Liivam\\\"agi, L. Sodr\\'e Jr, M. Einasto, M. Moles, M. Schaller, N. Benitez, P. Hein\\\"am\\\"aki, R. Abramo, R. Dupke, Rosa M. Gonz\\'alez Delgado, R. van de Weygaert, S. Bonoli, S. Carneiro, S. Daflon, V. Marra","submitted_at":"2026-07-29T13:57:51Z","abstract_excerpt":"Photometric surveys offer a powerful way to map the large-scale structure of the Universe, but their redshift errors complicate the identification of cosmic voids, challenging studies of their environmental effect on galaxy properties. We present an approach to robustly identify dynamically relevant voids and void galaxies in galaxy mocks of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS), testing whether known trends in void galaxy properties survive photometric redshift errors. Using FLAMINGO mocks at z = 0.3 and mi < 20, we compare a FLAMINGO-based ideal (FB"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26932","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/2607.26932/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"}