Accelerated Fully-Coherent Search for Compact Binary Coalescences

Authors

Soumya Mohanty, The University of Texas Rio Grande ValleyFollow

Document Type

Conference Proceeding

Publication Date

1-2026

Abstract

Progress in Gravitational Wave data analysis is often limited by global optimization challenges rooted in the fitting of complex signal models. The fully coherent all-sky (FCAS) search for compact binary coalescences (CBCs), which requires optimizing the likelihood function of data from a detector network over CBC signal parameters, is particularly demanding. Despite its greater sensitivity, a real-time FCAS search has been impossible so far with traditional optimization methods using deterministic or Markovian parameter space sampling. We introduce a solution combining Particle Swarm Optimization (PSO) with GPU acceleration that achieves a ≈48-fold speed-up over real-time analysis, and a potential latency of ≲5 sec, for the demanding scenario of a 4-detector network and low-mass signals. With large-scale simulations of Frequentist parameter estimation errors in an FCAS search now possible, we explore the regularization of the inverse problem in network analysis.

Comments

https://rdcu.be/e3xuA

Recommended Citation

Mohanty, S.D. (2025). Accelerated Fully-Coherent Search for Compact Binary Coalescences. In: Giri, A., Mohanta, R. (eds) Proceedings of the 17th International Conference on Interconnections Between Particle Physics and Cosmology. PPC 2024. Springer Proceedings in Physics, vol 322. Springer, Singapore. https://doi.org/10.1007/978-981-96-4986-0_4

Publication Title

Proceedings of the 17th International Conference on Interconnections Between Particle Physics and Cosmology

DOI

10.1007/978-981-96-4986-0_4