2021/11/23 by Dmitry A. Duev, Stéfan van der Walt, Duev, Dmitry A. +1 · 1 citation
Computer Science · Medicine · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Astrophysics and Cosmic Phenomena #Data-Driven Disease Surveillance #FOS: Physical sciences #Gamma-ray bursts and supernovae #Instrumentation and Methods for Astrophysics (astro-ph.IM)
paper · pdf · doi:10.48550/arxiv.2111.12142
openalex publication_date 2021/11/23 · openalex created_date 2022/11/02 · openalex updated_date 2026/07/28
The Zwicky Transient Facility (ZTF), a state-of-the-art optical robotic sky\nsurvey, registers on the order of a million transient events - such as\nsupernova explosions, changes in brightness of variable sources, or moving\nobject detections - every clear night, and generates associated real-time\nalerts. We present Alert-Classifying Artificial Intelligence (ACAI), an\nopen-source deep-learning framework for the phenomenological classification of\nZTF alerts. ACAI uses a set of five binary classifiers to characterize objects\nwhich, in combination with the auxiliary/contextual event information available\nfrom alert brokers, provides a powerful tool for alert stream filtering\ntailored to different science cases, including early identification of\nsupernova-like and anomalous transient events. We report on the performance of\nACAI during the first months of deployment in a production setting.\n