745 citations · 7k across the 80 of their papers we have counts for
12 papers · 1 filter
SuperNest: accelerated nested sampling applied to astrophysics and cosmology
Aleksandr Petrosyan, William James Handley
We present a method for improving the performance of nested sampling as well as its accuracy. Building on previous work by Chen et al., we show that posterior repartitioning may be…
Quantum initial conditions for curved inflating universes
Mary I. Letey, Zakhar Shumaylov, Fruzsina J. Agocs +3
We discuss the challenges of motivating, constructing, and quantizing a canonically normalized inflationary perturbation in spatially curved universes. We show that this has histor…
Bayesian approach to radio frequency interference mitigation
S. A. K. Leeney, W. J. Handley, E. de Lera Acedo
Interfering signals such as Radio Frequency Interference from ubiquitous satellite constellations are becoming an endemic problem in fields involving physical observations of the e…
Hunting for bumps in the margins
David Yallup, Will Handley
Data driven modelling is vital to many analyses at collider experiments, however the derived inference of physical properties becomes subject to details of the model fitting proced…
Use of Time Dependent Data in Bayesian Global 21cm Foreground and Signal Modelling
Dominic Anstey, Eloy de Lera Acedo, Will Handley
Global 21cm cosmology aims to investigate the cosmic dawn and epoch of reionisation by measuring the sky averaged HI absorption signal, which requires, accurate modelling of, or co…
Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology
Harry Bevins, Will Handley, Pablo Lemos +3
Cosmological experiments often employ Bayesian workflows to derive constraints on cosmological and astrophysical parameters from their data. It has been shown that these constraint…