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Accelerated parameter estimation in Bilby with relative binning

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arxiv 2312.06009 v1 pith:LWIXL7TP submitted 2023-12-10 gr-qc astro-ph.IM

Accelerated parameter estimation in Bilby with relative binning

classification gr-qc astro-ph.IM
keywords binningrelativeestimationparametersignalsbilbycodedescribe
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We describe an implementation of the relative binning technique to speed up parameter estimation of gravitational-wave signals. We first give a pedagogical overview of relative binning, discussing also the expressions for the likelihood marginalized over phase and distance. Then, we describe the details of the code in \texttt{Bilby}, an open-source software package commonly used for parameter estimation of gravitational-wave sources. Our code is able to reproduce the parameters of GW170817 in 14 hours on a single-core CPU, performs well on simulated signals, and passes the percentile-percentile (p-p) tests. We also illustrate that relative binning is an ideal technique to estimate the parameters of signals in next-generation gravitational wave detectors.

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Cited by 13 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    gr-qc 2026-06 unverdicted novelty 5.0

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    Hybrid SPA-plus-FFT frequency-domain version of SEOBNRv5THM for quasi-circular spin-aligned BNS systems matches time-domain baseline accuracy while cutting computational cost for long signals.

  12. Gravitational-wave inference at GPU speed: A bilby-like nested sampling kernel within blackjax-ns

    gr-qc 2025-09 conditional novelty 5.0

    A GPU implementation of the bilby/dynesty acceptance-walk nested sampler recovers statistically equivalent posteriors and evidences with large core-hour speedups.

  13. Accelerating parameter estimation for parameterized tests of general relativity with gravitational-wave observations

    gr-qc 2025-11 conditional novelty 4.0

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