Modular global-fit pipeline for LISA data analysis
We anticipate that the data acquired by the Laser Interferometer Space Antenna (LISA) will be dominated by the gravitational wave signals from several astrophysical populations. The analysis of these data is a new challenge and is the main focus of this paper. Numerous gravitational wave signals overlap in the time and/or frequency domain, and the possible correlation between them has to be taken into account during their detection and characterization. In this work, we present a method to address the LISA data analysis challenge; it is flexible and scalable for a number of sources and across several populations. Its performance is demonstrated on the simulated data LDC2a.
Authors
- S. Babak (ORCID: https://orcid.org/0000-0001-7469-4250)
- E. Plagnol (ORCID: https://orcid.org/0000-0002-2241-7961)
- M. Le Jeune (ORCID: https://orcid.org/0000-0002-1008-3394)
- Senwen Deng (ORCID: https://orcid.org/0000-0002-0415-2883)
- Andrea Sartirana (ORCID: https://orcid.org/0000-0001-8067-1987)
- Sylvain Marsat (ORCID: https://orcid.org/0000-0003-1188-8255)
Institutions
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- Université Paris Cité (FR)
- Laboratoire AstroParticule et Cosmologie (FR)
- Institut National de Physique Nucléaire et de Physique des Particules (FR)
Publication Details
- Journal
- Physical review. D/Physical review. D.
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1103/physrevd.111.103014
- Citations
- 19
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 47.14
Funders
- Agence Nationale de la Recherche
- Centre National d’Etudes Spatiales
- Horizon 2020 Framework Programme
- H2020 Marie Skłodowska-Curie Actions