One-stop strategy to search for long-duration gravitational-wave signals
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arXiv
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| Format: | Preprint |
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2024
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| author | Tenorio, Rodrigo Mérou, Joan-René Sintes, Alicia M. |
| author_facet | Tenorio, Rodrigo Mérou, Joan-René Sintes, Alicia M. |
| contents | Blind continuous gravitational-wave (CWs) searches are a significant computational challenge due to their long duration and weak amplitude of the involved signals. To cope with such problem, the community has developed a variety of data-analysis strategies which are usually tailored to specific CW searches; this prevents their applicability across the nowadays broad landscape of potential CW source. Also, their sensitivity is typically hard to model, and thus usually requires a significant computing investment. We present fasttracks, a massively-parallel engine to evaluate detection statistics for generic CW signals using GPU computing. We demonstrate a significant increase in computational efficiency by parallelizing the brute-force evaluation of detection statistics without using any computational approximations. Also, we introduce a simple and scalable postprocessing which allows us to formulate a generic semianalytic sensitivity estimate algorithm. These proposals are tested in a minimal all-sky search in data from the third observing run of the LIGO-Virgo-KAGRA Collaboration. The strategies discussed here will become increasingly relevant in the coming years as long-duration signals become a standard observation of future ground-based and space-borne detectors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18370 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | One-stop strategy to search for long-duration gravitational-wave signals Tenorio, Rodrigo Mérou, Joan-René Sintes, Alicia M. General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability Blind continuous gravitational-wave (CWs) searches are a significant computational challenge due to their long duration and weak amplitude of the involved signals. To cope with such problem, the community has developed a variety of data-analysis strategies which are usually tailored to specific CW searches; this prevents their applicability across the nowadays broad landscape of potential CW source. Also, their sensitivity is typically hard to model, and thus usually requires a significant computing investment. We present fasttracks, a massively-parallel engine to evaluate detection statistics for generic CW signals using GPU computing. We demonstrate a significant increase in computational efficiency by parallelizing the brute-force evaluation of detection statistics without using any computational approximations. Also, we introduce a simple and scalable postprocessing which allows us to formulate a generic semianalytic sensitivity estimate algorithm. These proposals are tested in a minimal all-sky search in data from the third observing run of the LIGO-Virgo-KAGRA Collaboration. The strategies discussed here will become increasingly relevant in the coming years as long-duration signals become a standard observation of future ground-based and space-borne detectors. |
| title | One-stop strategy to search for long-duration gravitational-wave signals |
| topic | General Relativity and Quantum Cosmology Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2411.18370 |