{"paper":{"title":"Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA"],"primary_cat":"astro-ph.IM","authors_text":"A.A. Plazas Malag\\'on, A. Boucaud, A. Connolly, A. Johnson, A. Kannawadi, A. Malz, A. Rasmussen, A. Roodman, A. Shugart, A. von der Linden, B. Andrews, B. Quint, B. S\\'anchez, C. Combet, C. Juramy-Gilles, C. Roucelle, C.W. Walter, D. Boutigny, D. Clowe, D. Oldag, D. Sanmartim, D. Taranu, E. Aubourg, E. Charles, E. Gawiser, E. Nourbakhsh, E. Urbach, F. Daruich, G. Daubard, G. Thayer, H. Drass, H.-F. Chiang, H. Park, I. Sevilla-Noarbe, J.A. Newman, J.B. Kalmbach, J. Chevalier, J. Chiang, J. Cohen-Tanugi, J. De Vicente, J.F. Crenshaw, J. Gschwend, J. Meyers, J. Neveu, J. Scora, J. Sebag, J. Zuntz, K. Bechtol, K. Fanning, K. Reil, L.P. Guy, L.S. Kelvin, LSST Dark Energy Science Collaboration, L. Toribio San Cipriano, M. Graham, M. Jarvis, M.J. Jee, M. Lutfi, M. Migliore, M. Moniez, M. Rahman, M. Salvato, N.B. Lust, N. Sedaghat, O. Ilbert, O. Lynn, P. Adari, P. Burchat, P. Ingraham, P.N. Daly, Q. Hang, R.H. Schindler, R. Mandelbaum, R. Shirley, R. Solomon, S. Dagoret-Campagne, S.J. Schmidt, S. Liang, S. Marshall, S. Mau, S.M. Kahn, S. Pelesky, T. Jenness, T. Zhang, W.M. Wood-Vasey, W. Roby, W. van Reeven, Y. Bains, Y. Kang, Y. Utsumi","submitted_at":"2025-10-08T18:00:00Z","abstract_excerpt":"We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and Time (LSST) Commissioning Camera. Employing the Redshift Assessment Infrastructure Layers (RAIL) framework, we apply eight photo-z algorithms to the DP1 photometry, using deep ugrizy coverage in the Extended Chandra Deep Field South (ECDFS) field and griz data in the Rubin_SV_38_7 field. In the ECDFS field, we construct a reference catalog from spectroscopic redshift (spec-z), grism redshift (grism-z), and multiband"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.07370","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/2510.07370/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"}