Rubin LSST-France, LPNHE, 28-30/11/2022

Session

Science focus

29 nov. 2022, 14:00

Amphithéâtre Charpak (Laboratoire de physique nucléaire et des hautes énergies (LPNHE))

Présidents de session

Science focus: FINK

• Julien Peloton (CNRS-IJCLab)

35. Fink: status

Julien Peloton (CNRS-IJCLab)

29/11/2022 14:00

Roadmap, overview of the status

36. Microlensing

Petro Voloshyn (IJCLab/Université Paris-Saclay)

29/11/2022 14:15

37. Enabling the discovery of fast transients

Biswajit Biswas (APC)

29/11/2022 14:30

8. Finding active galactic nuclei through Fink

Etienne Russeil

29/11/2022 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...

29. Fink Pair Instability Supernovae classifier

Etienne Russeil

29/11/2022 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.
The ELAsTiCC challenge, which anticipates data to be generated by the Rubin observatory, will contain a significant amount of PISN. We present a PISN...

17. Identification of optical Orphan Gamma-Ray Burst Afterglows in Rubin LSST data with the alert broker FINK

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...

34. Early supernovae Ia classification using active learning

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...

27. The ELAsTiCC data challenge: preparing the Fink broker for LSST

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...