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20222026
most citedGravitational wave populations and cosmology with neural posterior estimation

29 citations · 44 across the 7 of their papers we have counts for

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astro-ph.CO2026

Cosmological Inference with Gravitational-Wave Dark Sirens and 21-cm Intensity Mapping: Forecasts for LIGO-Virgo-KAGRA with MeerKAT and SKAO

Dounia Nanadoumgar-Lacroze, Konstantin Leyde, Steven Cunnington +8

Gravitational waves (GWs) and 21-cm intensity mapping (IM) are emerging as complementary cosmological probes: GWs provide direct luminosity-distance measurements, while neutral-hyd…

gr-qc2026

No parametrisation, No Problem: A Weakly Modelled Framework to Constrain the Luminosity Distance--Redshift Relation Using Gravitational Wave Sirens

Elena Colangeli, Konstantin Leyde, Tessa Baker +1

Cosmological tests of general relativity (GR) using gravitational waves (GWs) often rely on parametrised forms of the luminosity distance-redshift () relation, whic…

astro-ph.CO2026

CosmoPyro: Gradients for Gravitational-Wave Cosmology

Konstantin Leyde, Elena Colangeli

Gravitational-wave (GW) observations of stellar-mass compact binary coalescences directly measure the source luminosity distance. Combined with the source redshift, these measureme…

astro-ph.CO2026

Radio sirens: inferring with binary black holes and neutral hydrogen in the era of the Einstein Telescope and the SKA Observatory

Ulyana Dupletsa, Simone Mastrogiovanni, Marta Spinelli +11

A new synergy between gravitational waves (GWs) and the study of the large-scale structure of the Universe is now emerging. Along this line of research, we combine simulated observ…

gr-qc2026

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…