A gauge-theoretic framework enables zero-latency causal whitening in GW pipelines, preserving SNR and reducing latency by 1 s (33%) in production tests on O3 data.
Application of a Zero-latency Whitening Filter to Compact Binary Coalescence Gravitational-wave Searches
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abstract
Joint electromagnetic and gravitational-wave (GW) observation is a major goal of both the GW astronomy and electromagnetic astronomy communities for the coming decade. One way to accomplish this goal is to direct follow-up of GW candidates. Prompt electromagnetic emission may fade quickly, therefore it is desirable to have GW detection happen as quickly as possible. A leading source of latency in GW detection is the whitening of the data. We examine the performance of a zero-latency whitening filter in a detection pipeline for compact binary coalescence (CBC) GW signals. We find that the filter reproduces signal-to-noise ratio (SNR) sufficiently consistent with the results of the original high-latency and phase-preserving filter for both noise and artificial GW signals (called "injections"). Additionally, we demonstrate that these two whitening filters show excellent agreement in $\chi^2$ value, a discriminator for GW signals.
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2026 2representative citing papers
Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.
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Gauge Theoretic Signal Processing II: Zero-Latency Whitening for Early Warning Pipelines
A gauge-theoretic framework enables zero-latency causal whitening in GW pipelines, preserving SNR and reducing latency by 1 s (33%) in production tests on O3 data.
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Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets
Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.