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Edward Higson

Edward Higson
Room K14,
Kavli Institute for Cosmology,
c/o Institute of Astronomy,
Madingley Road

Cambridge CB3 0HA
Office Phone: +44 (0)1223 760796

Biography:

2015 - Present: PhD in Physics, University of Cambridge. Supervisors: Prof. Anthony Lasenby and Prof. Mike Hobson.

2011 - 2015: MPhys in Physics, University of Oxford.

Research Interests

I am a third year PhD student working on Bayesian inference and machine learning methods, and their applications in astrophysics and cosmology. Recently my research has involved nested sampling, Bayesian sparse reconstruction, neural networks and gravitational waves. I created the dynamic nested sampling algorithm, a generalisation of nested sampling can significantly improve efficiency, and am the author of the dyPolyChord, nestcheck and perfectns packages.

Teaching

Part III Relativistic Astrophysics and Cosmology

Part II General Relativity

Part IB Statistics (maths tripos) 

 

Key Publications

Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning, E. Higson, W. Handley, M. Hobson and A. Lasenby, arXiv:1809.04598, 2018

nestcheck: error analysis, diagnostic tests and plots for nested sampling calculations, E. Higson, Journal of Open Source Software, 2018

dyPolyChord: dynamic nested sampling with PolyChord, E. Higson, Journal of Open Source Software, 2018

perfectns: perfect dynamic and standard nested sampling for spherically
symmetric likelihoods and priors
, E. Higson, Journal of Open Source Software, 2018

Diagnostic Tests for Nested Sampling Calculations, E. Higson, W. Handley, M. Hobson and A. Lasenby, arXiv:1804.06406, 2018

Towards a framework for testing general relativity with extreme-mass-ratio-inspiral observations, A. Chua, S. Hee, W. Handley, E. Higson, C. Moore, J. Gair, M. Hobson, A. Lasenby, MNRAS, 2018

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation, E. Higson, W. Handley, M. Hobson and A. Lasenby, arXiv:1704.03459, 2017

Sampling errors in nested sampling parameter estimation, E. Higson, W. Handley, M. Hobson and A. Lasenby, Bayesian Analysis, 2018

Demonstration of laser pulse amplification by stimulated Brillouin scattering, E Guillaume, K Humphrey, H Nakamura, RMGM Trines, R Heathcote, M Galimberti, Y Amano, D Doria, G Hicks, E Higson, et al., High Power Laser Science and Engineering, 2014

The effect of phase front deformation on the growth of the filamentation instability in laser-plasma interactions, E. Higson, R. Trines et al., New Journal of Physics, 2013