Modular global-fit pipeline for LISA data analysis
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866910911451627520 |
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| author | Deng, Senwen Babak, Stanislav Jeune, Maude Le Marsat, Sylvain Plagnol, Éric Sartirana, Andrea |
| author_facet | Deng, Senwen Babak, Stanislav Jeune, Maude Le Marsat, Sylvain Plagnol, Éric Sartirana, Andrea |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_10277 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Modular global-fit pipeline for LISA data analysis Deng, Senwen Babak, Stanislav Jeune, Maude Le Marsat, Sylvain Plagnol, Éric Sartirana, Andrea General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics 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. |
| title | Modular global-fit pipeline for LISA data analysis |
| topic | General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2501.10277 |