activity
20082016
most citedMultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics

3k citations · 3.4k across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.HE2016★ 170 cited

Bayesian analysis of cosmic-ray propagation: evidence against homogeneous diffusion

G. Jóhannesson, R. Ruiz de Austri, A. C. Vincent +8

We present the results of the most complete ever scan of the parameter space for cosmic ray (CR) injection and propagation. We perform a Bayesian search of the main GALPROP paramet…

astro-ph.IM2014★ 19 cited

Testing the mutual consistency of different supernovae surveys

N. V. Karpenka, F. Feroz, M. P. Hobson

It is now common practice to constrain cosmological parameters using supernovae (SNe) catalogues constructed from several different surveys. Before performing such a joint analysis…

astro-ph.CO2013★ 11 cited

Bayes-X: a Bayesian inference tool for the analysis of X-ray observations of galaxy clusters

M. Olamaie, F. Feroz, K. J. B. Grainge +3

We present the first public release of our Bayesian inference tool, Bayes-X, for the analysis of X-ray observations of galaxy clusters. We illustrate the use of Bayes-X by analysin…

astro-ph.CO2012★ 10 cited

Comparison of cosmological parameter inference methods applied to supernovae lightcurves fitted with SALT2

M. C. March, N. V. Karpenka, F. Feroz +1

We present a comparison of two methods for cosmological parameter inference from supernovae Ia lightcurves fitted with the SALT2 technique. The standard chi-square methodology and…

astro-ph.CO2012★ 79 cited

Model selection applied to reconstruction of the Primordial Power Spectrum

J. Alberto Vazquez, M. Bridges, M. P. Hobson +1

The preferred shape for the primordial spectrum of curvature perturbations is determined by performing a Bayesian model selection analysis of cosmological observations. We first re…

gr-qc2010★ 145 cited

The Mock LISA Data Challenges: from Challenge 3 to Challenge 4

Stanislav Babak, John G. Baker, Matthew J. Benacquista +27

The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of one or more data…