{"paper":{"title":"The miniJPAS survey: stellar atmospheric parameters from 56 optical filters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.SR","authors_text":"A. Ederoclite, A. J. Cenarro, A. Mar\\'in-Franch, Antonio Hern\\'an-Caballero, C. Andr\\'es Galarza, Carlos L\\'opez-Sanjuan, C. Mendes de Oliveira, D. Crist\\'obal-Hornillos, D. R. Gon\\c{c}alves, E. J. Alfaro, E. Solano, F. Jim\\'enez-Esteban, F.-Q. Duan, H.-B. Yuan, H\\'ector V\\'azquez Rami\\'o, J. Alcaniz, J.-F. Liu, J. Laur, J. Varela, K. Taylor, L. Sodr\\'e Jr., L. Yang, M. Borges Fernandes, M. Moles, N. Ben\\'itez, P. Cruz, R. Abramo, R. A. Dupke, S. Akras, S. Bonoli, S. Daflon, V. M. Placco","submitted_at":"2022-10-31T08:31:15Z","abstract_excerpt":"With a unique set of 54 overlapping narrow-band and two broader filters covering the entire optical range, the incoming Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will provide a great opportunity for stellar physics and near-field cosmology. In this work, we use the miniJPAS data in 56 J-PAS filters and 4 complementary SDSS-like filters to explore and prove the potential of the J-PAS filter system in characterizing stars and deriving their atmospheric parameters. We obtain estimates for the effective temperature with a good precision (<150 K) from spectral ene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.17133","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/2210.17133/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"}