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Reconstructing Core-Collapse Supernova Gravitational-Wave Signals with Transdimensional Bayesian Inference
Hayden Chapman, Jade Powell, Nir Guttman +2
Core-collapse supernovae (CCSNe) are promising future sources of gravitational waves for current and next-generation observatories. Reconstructing CCSN gravitational-wave signals i…
Revealing Four Subpopulations of Binary Black-Hole Mergers with the Fifth Gravitational-Wave Transient Catalog
Nir Guttman, Paul D. Lasky, Eric Thrane
Gravitational-wave data are beginning to reveal a structured landscape of black-hole masses and spins, suggesting multiple formation processes are now being resolved observationall…
Fortifying gravitational-wave population inference with normalizing flows
Christian Adamcewicz, Hugh McDougall, Paul D. Lasky +1
As the LIGO-Virgo-KAGRA collaboration's (LVK's) gravitational-wave transient catalog grows, we are learning a wealth of information from the population properties of binary black h…
Licence to Bin: Accurate and Scalable Inference for Binary Neutron Stars in Next-Generation Gravitational-Wave Detectors
Nir Guttman, A. Makai Baker, Paul D. Lasky +1
Next-generation gravitational-wave observatories will observe binary neutron-star mergers with much higher signal-to-noise ratios, over much longer durations and across broader fre…
A universal framework to identify eccentric binary mergers: GW200105 case study
Teagan A. Clarke, Isobel M. Romero-Shaw, Charlie Hoy +3
Orbital eccentricity in gravitational-wave signals from merging compact object binaries is a powerful indicator of their formation channel. Several binary black hole mergers and a…
A comprehensive framework for phase-coherent mapping of the gravitational-wave sky with pulsar timing arrays
Małgorzata Curyło, Eric Thrane, Paul D. Lasky +1
We present a practical implementation of a phase-coherent mapping technique for pulsar timing arrays that resolves the full complex polarisation state of the gravitational-wave sky…