2 papers
gr-qc2025
A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
Alessandro Santini, Martina Muratore, Jonathan Gair +1
LISA data analysis represents one of the most challenging tasks ahead for the future of gravitational-wave (GW) astronomy. Characterizing the instrument's noise properties while fi…
gr-qc2025
A pipeline for searching and fitting instrumental glitches in LISA data
Martina Muratore, Jonathan Gair, Olaf Hartwig +2
Instrumental artefacts, such as glitches, can significantly compromise the scientific output of LISA. Our methodology employs advanced Bayesian techniques, including Reversible Jum…