{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/tails-chasing-comets-with-the-zwicky","title":"Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning","arxiv_id":"2102.13352","date":"2021-02-26","proceeding":null,"authors":["Dmitry A. Duev","Bryce T. Bolin","Matthew J. Graham","Michael S. P. Kelley","Ashish Mahabal","Eric C. Bellm","Michael W. Coughlin","Richard Dekany","George Helou","Shrinivas R. Kulkarni","Frank J. Masci","Thomas A. Prince","Reed Riddle","Maayane T. Soumagnac","Stéfan J. van der Walt"],"abstract":"We present Tails, an open-source deep-learning framework for the identification and localization of comets in the image data of the Zwicky Transient Facility (ZTF), a robotic optical time-domain survey currently in operation at the Palomar Observatory in California, USA. Tails employs a custom EfficientDet-based architecture and is capable of finding comets in single images in near real time, rather than requiring multiple epochs as with traditional methods. The system achieves state-of-the-art performance with 99% recall, 0.01% false positive rate, and 1-2 pixel root mean square error in the predicted position. We report the initial results of the Tails efficiency evaluation in a production setting on the data of the ZTF Twilight survey, including the first AI-assisted discovery of a comet (C/2020 T2) and the recovery of a comet (P/2016 J3 = P/2021 A3).","url_abs":"https://arxiv.org/abs/2102.13352v1","url_pdf":"https://arxiv.org/pdf/2102.13352v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"tails-chasing-comets-with-the-zwicky","repo_url":"https://github.com/dmitryduev/tails","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}