8 papers
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…
Eruptive mass loss less than a year before the explosion of superluminous supernovae. II. A systematic search for pre-explosion eruptions with VLT/X-shooter
A. Gkini, C. Fransson, R. Lunnan +22
We present X-shooter observations of a sample of 21 hydrogen-poor superluminous supernovae (SLSNe-I), spanning a redshift range of z=0.13-0.95, aimed at searching for shells of cir…
Lost and Found - A gallery of overlooked optical nuclear transients from the ZTF archive
E. Quintin, E. Russeil, M. Llamas Lanza +12
Tidal disruption events (TDEs) correspond to the destruction of a star by the tidal forces around a black hole, leading to outbursts which can last from months to years. These tran…
Exploring Multi-view Symbolic Regression methods in physical sciences
Etienne Russeil, FabrÃcio Olivetti de França, Konstantin Malanchev +2
Describing the world behavior through mathematical functions help scientists to achieve a better understanding of the inner mechanisms of different phenomena. Traditionally, this i…
Early Identification of Optical Tidal Disruption Events: A science module for the Fink broker
Miguel Llamas Lanza, Sergey Karpov, Etienne Russeil +5
The detection of tidal disruption events (TDEs) is one of the key science goals of large optical time-domain surveys such as the Zwicky Transient Facility (ZTF) and the upcoming Ve…
Signatures to help interpretability of anomalies
Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov +8
Machine learning is often viewed as a black box when it comes to understanding its output, be it a decision or a score. Automatic anomaly detection is no exception to this rule, an…