From the 1 of 20 linked papers with an AI index.
13 citations · 14 across the 4 of their papers we have counts for
20 papers
Nowhere left to hide: revealing realistic gravitational-wave populations in high dimensions and high resolution with PixelPop
Sofia Alvarez-Lopez, Jack Heinzel, Matthew Mould +1
The paper presents PixelPop, a high‑resolution Bayesian non‑parametric framework that captures multidimensional correlations among masses, spins, and redshifts of binary black hole…
Joint population and strong-lensing inference for resolved gravitational-wave events probes the black-hole merger rate beyond the peak of star formation
Matthew Mould
Gravitational waves can be lensed by intervening potentials of various scales. Strong lensing leads to underestimated distances and overestimated masses, biasing astrophysical resu…
End-to-End Population Inference from Gravitational-Wave Strain using Transformers
Konstantin Leyde, Stephen R. Green, Maximilian Dax +3
The population of compact binaries encodes information about their astrophysical origins and the expansion of the universe. Hierarchical Bayesian methods infer these properties by…
Evidence of the pair instability gap from black hole masses
Hui Tong, Maya Fishbach, Eric Thrane +13
Stellar theory predicts a forbidden range of black-hole masses between -- due to pair-instability supernovae, but evidence for such a gap in the mass distri…
Gravitational-wave astronomy requires population-informed parameter estimation
Matthew Mould, Rodrigo Tenorio, Davide Gerosa
Gravitational-wave events are interpreted in terms of Bayesian posteriors for their source properties inferred under unphysical reference priors. Though these parameter estimates a…
Measurement prospects for the pair-instability mass cutoff with gravitational waves
Matthew Mould, Jack Heinzel, Sofia Alvarez-Lopez +3
Pair-instability supernovae leave behind no compact remnants, resulting in a predicted gap in the distribution of stellar black-hole masses. Gravitational waves from binary black-h…