Skip to main content

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.

Download files

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

Source Distribution

hogben-3.1.3.tar.gz (197.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hogben-3.1.3-py3-none-any.whl (208.6 kB view details)

Uploaded Python 3

File details

Details for the file hogben-3.1.3.tar.gz.

File metadata

  • Download URL: hogben-3.1.3.tar.gz
  • Upload date:
  • Size: 197.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for hogben-3.1.3.tar.gz
Algorithm Hash digest
SHA256 666535d600709b8bc15ac7d2f734e497346828d3540a2d6b358355df47eff6b7
MD5 f6c637a60892df9510090ac3423ffa78
BLAKE2b-256 ffa7412664c6720ef78c4256ec98be855a7bfd7537cbf83a33e9af4c72d8bf70

See more details on using hashes here.

File details

Details for the file hogben-3.1.3-py3-none-any.whl.

File metadata

  • Download URL: hogben-3.1.3-py3-none-any.whl
  • Upload date:
  • Size: 208.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for hogben-3.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4683c219207749cb032021dde8c15a91aaa90e9ca07e8c8e266d73df3ade4c11
MD5 bd6393bd92032fbbda0848493a77e39a
BLAKE2b-256 7cd9ae9ece09c43f39fff6ab54f7b9c1473f44ef3355fbc56db6625a41975590

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

3.1.3 This release

2 files

3.1.1

2 files

3.1.0

2 files

3.0.0

2 files

2.0.0

2 files

1.2.1

2 files

1.1.2

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page