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Searching for codes credited to 'Dodin, A. V.'

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[ascl:2106.033] ZWAD: Anomaly detection pipeline
Malanchev, K. L.; Pruzhinskaya, M. V.; Korolev, V. S.; Aleo, P. D.; Kornilov, M. V.; Ishida, E. E. O.; Krushinsky, V. V.; Mondon, F.; Sreejith, S.; Volnova, A. A.; Belinski, A. A.; Dodin, A. V.; Tatarnikov, A. M.; Zheltoukhov, S. G.

ZWAD (ZTF anomaly detection pipeline) examines data and performs tailored feature extraction. The code then uses machine learning methods to searches for outliers, and identifies anomalies to be examined for validation by experts. Used with the SNAD ZTF data releases object viewer (ascl:2106.034), the infrastructure helps experts to form global views of specific scientifically interesting candidates.