5 papers · 1 filter
NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker
E. Russeil, R. Lunnan, J. Peloton +10
Superluminous supernovae (SLSNe) are one of the most luminous stellar explosions known, yet they remain poorly understood. Because they are intrinsically rare, efficiently identify…
Real-bogus scores for active anomaly detection
T. A. Semenikhin, M. V. Kornilov, M. V. Pruzhinskaya +8
In the task of anomaly detection in modern time-domain photometric surveys, the primary goal is to identify astrophysically interesting, rare, and unusual objects among a large vol…
Transient Classifiers for Fink: Benchmarks for LSST
B. M. O. Fraga, C. R. Bom, A. Santos +6
The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of…
Coniferest: a complete active anomaly detection framework
M. V. Kornilov, V. S. Korolev, K. L. Malanchev +8
We present coniferest, an open source generic purpose active anomaly detection framework written in Python. The package design and implemented algorithms are described. Currently,…
Exploring the Universe with SNAD: Anomaly Detection in Astronomy
Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina +9
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. T…