Introduces regression on regression to fit physical parameters (τ_min, α, A, γ, δ) to GWTC-4 B-Spline merger rate posteriors, finding the progenitor formation rate evolves ~5.3 times steeper than the star formation rate at low z and exposing model misspecification.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
GWTC-4 data reveals three sub-populations of binary black holes with distinct delay-time distributions that depend on mass above 45 solar masses, mass-ratio, and spin, ruling out a single universal merger rate.
BBH-Genesis applied to GWTC-4 finds strongest support for a two-channel model of binary black hole populations with possible mild evidence for an AGN-related third channel.
Forecasts show SKA-Mid cross-correlations with ET/CE gravitational wave events can constrain GW source bias and time-delay distributions.
citing papers explorer
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Regression on Regression: Mapping Data-Driven Binary Black Hole Merger Rate Fits to Progenitor Histories
Introduces regression on regression to fit physical parameters (τ_min, α, A, γ, δ) to GWTC-4 B-Spline merger rate posteriors, finding the progenitor formation rate evolves ~5.3 times steeper than the star formation rate at low z and exposing model misspecification.
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The First Detection of Sub-Populations in the Delay-Time Distribution of Binary Black Holes in GWTC-4 of LIGO-Virgo-KAGRA
GWTC-4 data reveals three sub-populations of binary black holes with distinct delay-time distributions that depend on mass above 45 solar masses, mass-ratio, and spin, ruling out a single universal merger rate.
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BBH-Genesis: Disentangling Binary Black Hole Formation Channels with GWTC-4
BBH-Genesis applied to GWTC-4 finds strongest support for a two-channel model of binary black hole populations with possible mild evidence for an AGN-related third channel.
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Using SKAO to Understand the Clustering of Gravitational Wave Sources
Forecasts show SKA-Mid cross-correlations with ET/CE gravitational wave events can constrain GW source bias and time-delay distributions.