Enhancing online estimation of CBC parameters with the low-latency MBTA analysis
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arXiv
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866911725760020480 |
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| author | Aubin, Florian Bentara, Inès Buskulic, Damir Guidi, Gianluca M Juste, Vincent Lethuillier, Morgan Marion, Frédérique Mobilia, Lorenzo Mours, Benoît Ouzriat, Amazigh Sainrat, Thomas Sordini, Viola |
| author_facet | Aubin, Florian Bentara, Inès Buskulic, Damir Guidi, Gianluca M Juste, Vincent Lethuillier, Morgan Marion, Frédérique Mobilia, Lorenzo Mours, Benoît Ouzriat, Amazigh Sainrat, Thomas Sordini, Viola |
| contents | In this paper, we describe the procedure implemented in the Multi-Band Template Analysis (MBTA) search pipeline to produce online posterior distributions of compact binary coalescence (CBC) gravitational-wave parameters. This procedure relies on an SNR optimizer technique, which consists of filtering dense local template banks. We present how these banks are constructed using information from the initial detection and detail how the results of the filtering are used to estimate source parameters and provide posterior distributions. We demonstrate the performance of our procedure on simulations and compare our source parameter estimates with the results from the first part of the fourth observing run (O4a) recently released by the LIGO-Virgo-KAGRA (LVK) collaboration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_20512 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Enhancing online estimation of CBC parameters with the low-latency MBTA analysis Aubin, Florian Bentara, Inès Buskulic, Damir Guidi, Gianluca M Juste, Vincent Lethuillier, Morgan Marion, Frédérique Mobilia, Lorenzo Mours, Benoît Ouzriat, Amazigh Sainrat, Thomas Sordini, Viola General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics In this paper, we describe the procedure implemented in the Multi-Band Template Analysis (MBTA) search pipeline to produce online posterior distributions of compact binary coalescence (CBC) gravitational-wave parameters. This procedure relies on an SNR optimizer technique, which consists of filtering dense local template banks. We present how these banks are constructed using information from the initial detection and detail how the results of the filtering are used to estimate source parameters and provide posterior distributions. We demonstrate the performance of our procedure on simulations and compare our source parameter estimates with the results from the first part of the fourth observing run (O4a) recently released by the LIGO-Virgo-KAGRA (LVK) collaboration. |
| title | Enhancing online estimation of CBC parameters with the low-latency MBTA analysis |
| topic | General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2601.20512 |