Skip to main content

Holistic Optimization for Generating Better Experimental Neutrons - a package for optimzing neutron experiments using the Fisher information

Project description

DOI

HOGBEN

Holistic Optimization for Gaining Better Evidence from Neutrons

About the Project

For the original repositories that this work is based on, see fisher-information and experimental-design.

Using the Fisher information (FI), the design of neutron reflectometry experiments can be optimised, leading to greater confidence in parameters of interest and better use of experimental time. This package contains modules and data for optimising the design of a wide range of reflectometry experiments.

Please refer to the notebooks for an introduction on how to use the code.

This repository is named after Lancelot Hogben, whose relentless opposition of eugenics (and vocal criticism of Ronald Fisher's views on it) we applaud.

Citation

Please cite the following article if you intend on including elements of this work in your own publications:

Durant, J. H., Wilkins, L. and Cooper, J. F. K. Optimising experimental design in neutron reflectometry. arXiv:2108.05605 (2021).

Or with BibTeX as:

@misc{Durant2021,
   title         = {Optimising experimental design in neutron reflectometry}, 
   author        = {Durant, J. H. and Wilkins, L. and Cooper, J. F. K.},
   year          = {2021},
   eprint        = {2108.05605},
   archivePrefix = {arXiv},
   primaryClass  = {physics.data-an}
}

Contact

Jos Cooper - jos.cooper@ess.eu
Sjoerd Stendahl - sjoerd.stendahl@physics.uu.se
James Durant - james.durant@warwick.ac.uk
Lucas Wilkins - lucas.wilkins@stfc.ac.uk

Acknowledgements

We thank Luke Clifton for his assistance and expertise in fitting the lipid monolayer and lipid bilayer data sets.

License

Distributed under the BSD 3-Clause License. See license for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hogben-3.1.0.tar.gz (195.1 kB view hashes)

Uploaded Source

Built Distribution

HOGBEN-3.1.0-py3-none-any.whl (206.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page