Papers: 10.1107/S160057672100563X

https://doi.org/10.1107/S160057672100563X

Determining the maximum information gain and optimizing experimental design in neutron reflectometry using the Fisher information

Cited by: 6
Author(s): James H. Durant, Lucas Wilkins, Keith T. Butler, Jonathan Cooper
Published: about 5 years ago

Software Mentions 3

pypi: dynesty
A dynamic nested sampling package for computing Bayesian posteriors and evidences.
Papers that mentioned: 1
Very Likely Science (100)
pypi: emcee
The Python ensemble sampling toolkit for MCMC
Papers that mentioned: 22
Very Likely Science (100)
pypi: refnx
Neutron and X-ray Reflectometry Analysis
Papers that mentioned: 4
Very Likely Science (90)