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 built 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-0.4.4.tar.gz (4.9 MB view details)

Uploaded Source

Built Distribution

study_da-0.4.4-py3-none-any.whl (4.9 MB view details)

Uploaded Python 3

File details

Details for the file study_da-0.4.4.tar.gz.

File metadata

  • Download URL: study_da-0.4.4.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-0.4.4.tar.gz
Algorithm Hash digest
SHA256 2134f452bf0cff901130623d79ba29886775aa2c5d37d15bf59f49ff37206bee
MD5 db65cc657639314e1d0b33736eb96f9d
BLAKE2b-256 ac6f0475c6c7bc34d36f1f81b98003980fc3fc7d475514ecf270bf8e39a06411

See more details on using hashes here.

File details

Details for the file study_da-0.4.4-py3-none-any.whl.

File metadata

  • Download URL: study_da-0.4.4-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-0.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 4987d4c506e9f1ab3bf1de60abb61c57adb5d63b9d15c116acf8a15acc3b8ab7
MD5 add2681909986f59e23d827f959eca0c
BLAKE2b-256 c615741e2bc41df47276cb17600c5b6850283006d8083010ebd78188f012f215

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