Rencontre du groupe de travail "méthodes d'analyse des données" du GdR Ondes Gravitationnelles Description

Session

Contributed talks

16 oct. 2024, 10:45

Université Aix Marseille, Campus Luminy

Description

First session on contributed talks

2. Reconstructing gravitational wave polarizations with bivariate signal processing and deep generative models

Pierre PALUD (APC), Yusuf yigit Pilavci

16/10/2024 10:45

This work addresses the inverse problem of the reconstruction of the impinging gravitational-wave (GW) polarizations $(h_+, h_\times)$ from the interferometric detector measurements. It is specifically focused on situations where the polarization pattern is non-stationary and evolves over the duration of the signal. For instance, this is the case for GW signals from compact binaries...

6. Inferring astrophysics and cosmology with individual compact binary coalescences and their gravitational-wave stochastic background

Sarah Ferraiuolo (CPPM at Aix-Marseille University (AMU) & Università di Roma, La Sapienza)

16/10/2024 11:30

This work introduces a method to infer the Hubble constant H0 by combining dark siren gravitational wave sources (without electromagnetic counterparts) with the stochastic gravitational wave background (SGWB). Traditional H0 measurement techniques, such as the local distance ladder and cosmic microwave background observations, face significant challenges and yield conflicting results....

1. A test for LISA foregrounds Gaussianity and stationarity. II. Extreme-mass-ratio inspirals

Manuel Piarulli (L2IT, Université Toulouse III - Paul Sabatier)

16/10/2024 12:00

Extreme Mass Ratio Inspirals (EMRIs) are key targets expected to be observed by the Laser Interferometer Space Antenna (LISA) mission. Unresolvable EMRI signals contribute to forming a gravitational wave background (GWB).
Characterizing the statistical features of the GWB from EMRIs is of great importance, as EMRIs will ubiquitously affect large segments of the inference scheme.
In this...

5. Addressing gaps in LISA data

Ollie Burke (L2I Toulouse, CNRS/IN2P3, UT3), Sylvain Marsat (L2I Toulouse, CNRS/IN2P3, UT3)

16/10/2024 13:30

In this talk, we will discuss the impact of data gaps on parameter estimation in the context of the Laser Interferometer Space Antennae (LISA). Data gaps, for LISA, are unavoidable: whether it is due to antennae repointing due to drift in the orbit, or instrumental malfunctions that are then masked, it is paramount that we can account for data gaps in our parameter estimation pipelines. In...

10. Population inference

Alexandre Toubiana (Max Planck Institute for Gravitational Physics)

16/10/2024 14:00