{"paper":{"title":"J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.SR","authors_text":"A. A. Orsi, A. Ederoclite, A. J. Cenarro, A. L. Chies-Santos, A. Mar\\'in-Franch, C. Bonatto, C. L\\'opez-Sanjuan, C. Mendes de Oliveira, D. Crist\\'obal-Hornillos, D. D. Whitten, H. V\\'azquez Rami\\'o, J. A. Caballero, J. Varela, L. Sodr\\'e, M. Borges Fernandes, M. Moles, M. V. Costa-Duarte, P. Coelho, R. A. Dupke, R. Lopes de Oliveira, S. Akras, S. Daflon, S. Rossi, T. C. Beers, T. Masseron, V. M. Placco, Y. S. Lee","submitted_at":"2018-11-06T10:52:09Z","abstract_excerpt":"We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre Photometric Local Universe Survey (J-PLUS), and propose a method for target pre-selection of low-metallicity stars for follow-up spectroscopic studies. Photometric metallicity estimates for stars in the globular cluster M15 are determined using this method. By development of a neural-network-based photometry pipeline, we aim to produce estimates of effective temperature, $T_{\\rm eff}$, and metallicity, [Fe/H], for a large subset of stars in the J-PLU"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02279","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"}