745 citations · 7k across the 80 of their papers we have counts for
13 papers · 1 filter
Quantifying Suspiciousness Within Correlated Data Sets
Pablo Lemos, Fabian Köhlinger, Will Handley +3
We propose a principled Bayesian method for quantifying tension between correlated datasets with wide uninformative parameter priors. This is achieved by extending the Suspiciousne…
Curvature tension: evidence for a closed universe
Will Handley
The curvature parameter tension between Planck 2018, cosmic microwave background lensing, and baryon acoustic oscillation data is measured using the suspiciousness statistic to be…
fgivenx: A Python package for functional posterior plotting
Will Handley
fgivenx is a Python package for functional posterior plotting, currently used in astronomy, but will be of use to scientists performing any Bayesian analysis which has predictive p…
Bayesian inflationary reconstructions from Planck 2018 data
Will J. Handley, Anthony N. Lasenby, Hiranya V. Peiris +1
We present three non-parametric Bayesian primordial reconstructions using Planck 2018 polarization data: linear spline primordial power spectrum reconstructions, cubic spline infla…
Beyond the Runge-Kutta-Wentzel-Kramers-Brillouin method
Jamie Bamber, Will Handley
We explore higher-dimensional generalizations of the Runge-Kutta-Wentzel-Kramers-Brillouin method for integrating coupled systems of first-order ordinary differential equations wit…
Primordial power spectra for curved inflating universes
Will Handley
Exact numerical primordial primordial power spectra are computed and plotted for the for the best-fit Planck 2018 curved universe parameters. It is found that the spectra have gene…