GPU and PSO Accelerated Low-latency Fully-coherent All-sky search for Compact Binary Coalescences

Authors

• Soumya D. Mohanty, The University of Texas Rio Grande ValleyFollow

Document Type

Article

Publication Date

2026

Abstract

The fully-coherent all-sky (FCAS) search, which combines data from a gravitational wave detector network into a single likelihood function, is the preferred method prescribed by statistical theory for Gaussian noise. However, so far, its exorbitant computational cost has blocked its use for compact binary coalescence searches. We introduce a solution combining Particle Swarm Optimization with Graphics Processing Unit (GPU) acceleration that is ≈ 50-fold faster than real-time analysis. This transforms the prospect of a low-latency FCAS search on all GW data into a practical reality for the first time. With large-scale simulations enabled by this speedup, we examine the issue of regularization and find an adaptive scheme that substantially reduces the sky localization error area—in some cases by more than 50%—for the twin LIGO network. We also introduce a fast procedure for credible region construction that bypasses the need for ad hoc priors and computationally expensive Markov Chain Monte Carlo sampling.

Comments

Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Recommended Citation

Mohanty, Soumya D. 2026. “GPU and PSO Accelerated Low-Latency Fully-Coherent All-Sky Search for Compact Binary Coalescences.” Journal of Physics: Conference Series 3177 (1): 012074. https://doi.org/10.1088/1742-6596/3177/1/012074.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

Journal of Physics: Conference Series

DOI

10.1088/1742-6596/3177/1/012074