Exploring the Universe with SNAD: Anomaly Detection in Astronomy

Авторы: Volnova Alina A., Aleo Patrick D., Lavrukhina Anastasia, Russeil Etienne, Semenikhin Timofey, Gangler Emmanuel, Ishida Emille E.O., Kornilov Matwey V., Korolev Vladimir, Malanchev Konstantin, Pruzhinskaya Maria V., Sreejith Sreevarsha
Журнал: Communications in Computer and Information Science
Том: 2086
Год издания: 2024
Первая страница: 195
Последняя страница: 208
DOI: 10.1007/978-3-031-67826-4_15
Аннотация: SNAD is an international project with a primary focus on detecting astronomical anomalies within large-scale surveys, using active learning and other machine learning algorithms. The work carried out by SNAD not only contributes to the discovery and classification of various astronomical phenomena but also enhances our understanding and implementation of machine learning techniques within the field of astrophysics. This paper provides a review of the SNAD project and summarizes the advancements and achievements made by the team over several years.
Добавил в систему: Семенихин Тимофей Александрович

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