November 20, 2023
CNES Paris Les Halles
Europe/Paris timezone

Non parametric representation for MBHB recovery from LISA data

Nov 20, 2023, 10:40 AM
15m
Salle de l'Espace (CNES Paris Les Halles)

Salle de l'Espace

CNES Paris Les Halles

2 Pl. Maurice Quentin, 75001 Paris

Speaker

Elie Leroy (DRF-IRFU)

Description

In the context of the LISA mission, the fast detection and recovery of MBHB (Massive Black Hole Binaries) from the LISA data is key for both the low-latency and global analysis tasks. This is especially paramount when the data are gapped or contaminated with spuritous transients such as glitches. For that purpose, we introduce an hybrid non-parametric representation of MBHBs that combines an autoencoder-based modeling of the merger with a sparse modeling of the spiralling regime to provide an accurate recovery other a long time interval. We will show how the proposed signal representation can be used for detection and reconstruction tasks on both ungapped and gapped simulated LISA data.

Primary authors

Elie Leroy (DRF-IRFU) Hervé Moutarde (CEA-IRFU-SPHN) Jerome Bobin (CEA)

Presentation materials