Fast Bayesian Inference for Long-Duration Gravitational-Wave Signals in 3G detectors
Abstract
Third-generation (3G) gravitational-wave detectors will observe binary-neutron-star inspirals for nearly a day, so Earth's rotation becomes part of the signal rather than a negligible correction. This destroys the usual separation between intrinsic and extrinsic parameters and creates a major computational bottleneck for Bayesian inference. We show that the exact five-harmonic Jaranowski-Krolak-Schutz (JKS) decomposition restores the separation of the rotating antenna amplitude response from the computationally expensive intrinsic waveform calculations. By sampling the intrinsic waveform on a frequency grid set by its phase curvature and then applying error-controlled relative binning, likelihood evaluations for a 21.3-h signal are accelerated by O(10^4), making day-long 3G signal inference practical.
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BibTeX
@misc{sengupta2026fast,
title = {{Fast Bayesian Inference for Long-Duration Gravitational-Wave Signals in 3G detectors}},
author = {Anand S. Sengupta},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.05375},
eprint = {2609.05375},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.05375},
}
RIS
TY - UNPB
TI - Fast Bayesian Inference for Long-Duration Gravitational-Wave Signals in 3G detectors
AU - Anand S. Sengupta
PY - 2026
DA - 2026/09/07
PB - arXiv
DO - 10.48550/arxiv.2609.05375
UR - https://arxiv.org/abs/2609.05375
AB - Third-generation (3G) gravitational-wave detectors will observe binary-neutron-star inspirals for nearly a day, so Earth's rotation becomes part of the signal rather than a negligible correction. This destroys the usual separation between intrinsic and extrinsic parameters and creates a major computational bottleneck for Bayesian inference. We show that the exact five-harmonic Jaranowski-Krolak-Schutz (JKS) decomposition restores the separation of the rotating antenna amplitude response from the computationally expensive intrinsic waveform calculations. By sampling the intrinsic waveform on a frequency grid set by its phase curvature and then applying error-controlled relative binning, likelihood evaluations for a 21.3-h signal are accelerated by O(10^4), making day-long 3G signal inference practical.
ER -