GPU-accelerated nested sampling on GW170817 demonstrates that switching to a uniform-in-dL prior shifts the H0 tail and median far more than post-hoc reweighting captures, due to an under-sampled (dL, iota) bimodality.
Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions
2 Pith papers cite this work. Polarity classification is still indexing.
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Bilby-antiglitch jointly models astrophysical signals and quasi-physical glitches to recover true source properties from simulated gravitational wave data contaminated by loud non-Gaussian transients.
citing papers explorer
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Rapid Hubble constant inference from GW170817 using GPU-accelerated nested sampling: prior sensitivity and the limits of post-hoc reweighting
GPU-accelerated nested sampling on GW170817 demonstrates that switching to a uniform-in-dL prior shifts the H0 tail and median far more than post-hoc reweighting captures, due to an under-sampled (dL, iota) bimodality.
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A parametric signal plus noise inference framework for short duration non-Gaussian noise transients
Bilby-antiglitch jointly models astrophysical signals and quasi-physical glitches to recover true source properties from simulated gravitational wave data contaminated by loud non-Gaussian transients.