High-speed reconstruction of long-duration gravitational waves from extreme-mass-ratio inspirals using sparse dictionary learning
Abstract
Measuring accurate long-duration gravitational waves from extreme mass ratio inspirals (EMRIs) could provide scientifically fruitful knowledge of massive black hole populations and robust tests for general relatively during the LISA mission. However, the immense computational requirements surrounding EMRI data processing and analysis makes their detection and analysis challenging. We further develop and explore a sparse dictionary learning (SDL) algorithm to expeditiously reconstruct EMRI gravitational waveforms lasting as long as 1 year. A suite of year-long EMRI systems are studied to understand the detection and accurate waveform retrieval prospects of the method. We show that full-year EMRIs can be reconstructed within 2 minutes, some with a false alarm rate less than
- Publication:
-
Physical Review D
- Pub Date:
- September 2024
- DOI:
- 10.1103/PhysRevD.110.064074
- arXiv:
- arXiv:2407.02908
- Bibcode:
- 2024PhRvD.110f4074B
- Keywords:
-
- General relativity;
- alternative theories of gravity;
- General Relativity and Quantum Cosmology;
- Astrophysics - Cosmology and Nongalactic Astrophysics;
- High Energy Physics - Phenomenology