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
Proper installation might require additional instructions. Please refer to the full documentation for more details.
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.
- Fork the repository
- Create a new branch (
git checkout -b feature/yourfeature) - Make your changes
- Commit your changes (
git commit -am 'Add your feature') - Push to the branch (
git push origin feature/yourfeature) - Create a new Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for study-da 0.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| study_da-0.5.3.tar.gz | 4.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| study_da-0.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.9 MB
Release files / study_da-0.5.3.tar.gz
| Download URL | study_da-0.5.3.tar.gz |
|---|---|
| Size | 4.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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poetry/1.8.3 CPython/3.10.13 Linux/4.18.0-448.el8.x86_64
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Release files / study_da-0.5.3-py3-none-any.whl
| Download URL | study_da-0.5.3-py3-none-any.whl |
|---|---|
| Size | 4.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.10.13 Linux/4.18.0-448.el8.x86_64
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