3 papers
physics.data-an2021
Determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information
James H. Durant, Lucas Wilkins, Keith Butler +1
An approach based on the Fisher information (FI) is developed to quantify the maximum information gain and optimal experimental design in neutron reflectometry experiments. In thes…
cond-mat.mtrl-sci2020
Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering data
Keith T. Butler, Manh Duc Le, Jeyarajan Thiyagalingam +1
Deep neural networks provide flexible frameworks for learning data representations and functions relating data to other properties and are often claimed to achieve 'super-human' pe…
physics.comp-ph2019
Machine Learning and Big Scientific Data
Tony Hey, Keith Butler, Sam Jackson +1
This paper reviews some of the challenges posed by the huge growth of experimental data generated by the new generation of large-scale experiments at UK national facilities at the…