{"paper":{"title":"Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alex Gagliano, Andr\\'e Curtis-Trudel, Andrew K. Saydjari, Anna Scaife, Carol Cuesta-Lazaro, Daniel Muthukrishna, Digvijay Wadekar, Duo Xu, Francisco Villaescusa-Navarro, Georgios Valogiannis, Gregory Green, Helen Qu, Jesse Thaler, John F. Wu, Licia Verde, Peter Kurczynski, Phill Cargile, Ryan McClelland, Siddharth Mishra-Sharma, Siyu Yao, Swara Ravindranath, Tomasz Rozanski, Tri Nguyen, Yuan-Sen Ting","submitted_at":"2026-06-29T19:37:39Z","abstract_excerpt":"The astronomical community's ability to use modern machine learning shapes the science return of upcoming facilities. Recent community assessments single out education as the principal barrier to adoption, because what limits uptake is the uneven understanding of these methods rather than their availability. The NASA Cosmic Origins Artificial Intelligence and Machine Learning Science and Technology Interest Group (AI/ML STIG) was formed to address this gap through short, domain-specific tutorials and community discussion. We present Deep Learning for Astrophysics, a freely available textbook a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30855","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/2606.30855/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"}