15 citations · 17 across the 3 of their papers we have counts for
3 papers
Blinded Mock Data Challenge for Gravitational-Wave Cosmology-I: Assessing the Robustness of Methods Using Binary Black Holes Mass Spectrum
Aman Agarwal, Ulyana Dupletsa, Konstantin Leyde +18
Gravitational Wave (GW) sources are standard sirens that provide an independent way to map the cosmic expansion history by combining with an independent redshift measurement either…
Cosmological Inference using Gravitational Waves and Normalising Flows
Federico Stachurski, Christopher Messenger, Martin Hendry
We present a machine learning approach using normalising flows for inferring cosmological parameters from gravitational wave events. Our methodology is general to any type of compa…
GWSim: Python package for creating mock GW samples for different astrophysical populations and cosmological models of binary black holes
Christos Karathanasis, Benoit Revenu, Suvodip Mukherjee +1
Precision cosmology with gravitational wave (GW) sources requires a deeper understanding of the interplay between GW source population and cosmological parameters governing the dyn…