Skip to main content

A tool to create large-scale DA simulations.

Project description

Dynamics Aperture Study Package

This package consists of a collection of tools to study the dynamics aperture of a particle accelerator with Xsuite. In a sense, it is a replacement of the DA study template, but much more advanced. It also allows to configure colliders and do tracking without necessarily running parametric scans.

The whole project is described in details in the full documentation, along with tutorials and description of the implemented functions.

Installation

The package is available on PyPI and can be installed using pip.

pip install study-da

Contributing

We welcome contributions to the Dynamics Aperture Study Package. If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.

  1. Fork the repository
  2. Create a new branch (git checkout -b feature/yourfeature)
  3. Make your changes
  4. Commit your changes (git commit -am 'Add your feature')
  5. Push to the branch (git push origin feature/yourfeature)
  6. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

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

study_da-0.4.0.tar.gz (4.9 MB view details)

Uploaded Source

Built Distribution

study_da-0.4.0-py3-none-any.whl (4.9 MB view details)

Uploaded Python 3

File details

Details for the file study_da-0.4.0.tar.gz.

File metadata

  • Download URL: study_da-0.4.0.tar.gz
  • Upload date:
  • Size: 4.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.13 Linux/4.18.0-448.el8.x86_64

File hashes

Hashes for study_da-0.4.0.tar.gz
Algorithm Hash digest
SHA256 35a40c635091e3b0689d7f52bcc6d24d0325e7c99641319863b6b7bc7ed44f01
MD5 862f06b41aed535ae317330dff6815d6
BLAKE2b-256 daf39bf1b9e087b1feddccc6c33b0faf02de84da4d6561e063638bc65fd0c754

See more details on using hashes here.

File details

Details for the file study_da-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: study_da-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.13 Linux/4.18.0-448.el8.x86_64

File hashes

Hashes for study_da-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8d13fe2a7665159577b6a35843fe92431d8f08592b838de125d70a39e4ea42c3
MD5 37b5fc465937a7a6005eaadb83c01854
BLAKE2b-256 112cbddd0d3a9ead2ebe957855ef9c43ae91fe83fe70fa46aa575febf2d3b74b

See more details on using hashes here.

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