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Modular global-fit pipeline for LISA data analysis

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arxiv 2501.10277 v2 pith:26OBMFUZ submitted 2025-01-17 gr-qc astro-ph.COastro-ph.IM

Senwen Deng , Stanislav Babak , Maude Le Jeune , Sylvain Marsat , Éric Plagnol , Andrea Sartirana This is my paper · ORCID
classification gr-qcastro-ph.COastro-ph.IM
keywords dataanalysislisachallengegravitationalpopulationsseveralsignals
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 10 Pith papers

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