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Farhan Feroz

Researcher at University of Cambridge

Publications -  130
Citations -  16885

Farhan Feroz is an academic researcher from University of Cambridge. The author has contributed to research in topics: Arcminute Microkelvin Imager & Galaxy cluster. The author has an hindex of 50, co-authored 127 publications receiving 15236 citations.

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MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics

TL;DR: The developments presented here lead to further improvements in sampling efficiency and robustness, as compared to the original algorit hm presented in Feroz & Hobson (2008), which itself significantly outperformed existi ng MCMC techniques in a wide range of astrophysical inference problems.
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Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses

TL;DR: In this article, the authors build on the work of Shaw et al. and present three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies in very high dimensions.
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Planck 2015 results. I. Overview of products and scientific results

R. Adam, +353 more
TL;DR: The European Space Agency's Planck satellite, dedicated to studying the early Universe and its subsequent evolution, was launched 14~May 2009 and scanned the microwave and submillimetre sky continuously between 12~August 2009 and 23~October 2013 as discussed by the authors.
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Multimodal nested sampling: an efficient and robust alternative to MCMC methods for astronomical data analysis

TL;DR: Three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies in very high dimensions are presented, leading to a further substantial improvement in sampling efficiency and robustness and an even more efficient technique for estimating the uncertainty on the evaluated evidence.
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Planck 2015 results

Peter A. R. Ade, +258 more
TL;DR: In this paper, the authors proposed a framework for the integration of the INSU-IN2P3-INP project with the National Science and Technology Facilities Council (NSF) and the Higher Education Funding Council for England (HEFL).