Présidents de session
Science focus: FINK
- Julien Peloton (CNRS-IJCLab)
-
Julien Peloton (CNRS-IJCLab)29/11/2022 14:00
Roadmap, overview of the status
Go to contribution page -
Petro Voloshyn (IJCLab/Université Paris-Saclay)29/11/2022 14:15
-
Biswajit Biswas (APC)29/11/2022 14:30
-
Etienne Russeil29/11/2022 14:45
The Fink broker contains a series of machine learning based modules, which enables fast processing of the data stream. We present the Active Galactic Nuclei (AGN) module as currently implemented within the Fink broker. It is a binary classifier based on a Random Forest algorithm using features extracted from photometric light curves, including a color feature built using a symbolic regression...
Go to contribution page -
Etienne Russeil29/11/2022 15:00
Pair-instability supernovae (PISN) are stellar explosions marking the end of life of the first generation of stars to exist in our Universe. Despite being theoretically predicted, up to this point there are no confirmed PISN observations.
Go to contribution page
The ELAsTiCC challenge, which anticipates data to be generated by the Rubin observatory, will contain a significant amount of PISN. We present a PISN... -
Marina Masson (LPSC)29/11/2022 15:15
Gamma-Ray Bursts (GRBs) are among the most energetic phenomena in the Universe. The interaction of their blast wave with the Interstellar Medium produces an afterglow that can be observed from a larger angle, in a wide range of the electromagnetic spectrum and during more time than the prompt emission. Viewed off-axis, this emission has a negligible gamma-ray flux and is hence called ”GRB...
Go to contribution page -
Marco Leoni (Universite Paris Saclay)29/11/2022 15:30
We describe how the Fink broker early supernova Ia classifier optimizes its ML classifications by employing an active learning (AL) strategy. We demonstrate the feasibility of implementation of such strategies in the current Zwicky Transient Facility (ZTF) public alert data stream. We compare the performance of two AL strategies: uncertainty sampling and random sampling. Our pipeline consists...
Go to contribution page -
Emille Ishida (CNRS/LPC-Clermont)29/11/2022 15:45
Fink is a community alert broker specifically designed to operate under the extreme data volume and complexity of the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). It is a French-led international collaboration whose task is to select, add value and redistribute transient alerts to the astronomical community during the 10 years of LSST. The system is completely...
Go to contribution page