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Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources
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Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources
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The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a simulation-based inference approach to efficient, highly-parallelized parameter inference for GW sources. Previous editions of RIFT have conservatively optimized for robust inference about poorly constrained observations. In this paper, we summarize algorithm enhancements and operating point choices to enable inference for more exceptional compact binaries. Using the previously-reported RIFT/asimov interface to efficiently perform analyses on events with reproducible settings consistent with past work, we demonstrate that the latest version of RIFT can efficiently analyze events with multiple costly models including the effects of precession or eccentricity.
Forward citations
Cited by 9 Pith papers
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Population Properties of Binary Black Holes with Eccentricity
First joint population inference on binary black hole eccentricity from GWTC-4 bounds the eccentric branching ratio below 5% at 90% confidence, with results consistent with quasi-circular models but highly model-dependent.
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Impact of eccentricity and higher-modes on neutron star-black hole parameter estimation
Eccentricity in neutron star–black hole mergers sharply tightens measurements of intrinsic parameters like mass ratio and effective spin, but gives almost no improvement in distance or sky localization.
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Impact of eccentricity and higher-modes on neutron star-black hole parameter estimation
Eccentric NSBH signals like GW200105 contain much more information about masses, mass ratio, and effective spin per unit SNR than circular signals, but not about sky position or distance.
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Eccentric waveform-model differences, small per event, accumulate across the GWTC-4 catalog and alter inferred redshift evolution and effective-spin population distributions.
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Assessing the imprint of eccentricity in GW signatures using two independent waveform models
Dual-model analysis of 162 GW sources disfavors eccentricity for most events but finds potential evidence in GW200129, GW231001, and GW231123.
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Measuring Eccentricity and Addressing Waveform Systematics in GW231123
Reanalysis of GW231123 shows no significant eccentricity, with parameter estimate differences explained by waveform model disagreements at strong spin precession.
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Parameter Estimation with Targeted Eccentric Numerical-Relativity Simulations for GW200208_22 and GW190620
Bayesian parameter estimation with targeted eccentric numerical-relativity waveforms yields eccentricity estimates of e20 ≈ 0.2 for GW200208_22 and e10 ≈ 0.19 for GW190620, reinforcing the eccentric hypothesis.
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Gravitational Wave Hyperbolic Catalog: Reanalyzing High-Mass Gravitational Wave Signals Using Hyperbolic Waveforms
Reanalysis finds GW190521 prefers hyperbolic waveforms over quasi-circular precessing ones with ln Bayes factor 3.71, while other high-mass events and GW231123 favor the latter; mock signals indicate distinguishabilit...
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