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Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group

Authors: Yuan-Sen Ting, Digvijay Wadekar, Phillip Cargile, Carol Cuesta-Lazaro, André Curtis-Trudel, Gregory Green, Ryan McClelland, Daniel Muthukrishna, Tri Nguyen, Helen Qu, Tomasz Rozanski, Anna Scaife, Jesse Thaler, Licia Verde, Francisco Villaescusa- Navarro, John F. Wu, Duo Xu, Siyu Yao, Alex Gagliano, Siddharth Mishra-Sharma, Andrew K. Saydjari, Georgios Valogiannis, Peter Kurczynski, Swara Ravindranath

Yuan-Sen Ting et al 2026 Research Notes of the AAS 10 .

Provider: AAS Journals

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The web version of Deep Learning for Astrophysics. The textbook turns the AI/ML STIG lecture series into modular, domain-specific chapters for astronomers learning modern machine learning methods.

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