https://github.com/pylhc/accelerator_timeline
A non-exhaustive collection of past, modern and future accelerators including their main parameters
https://github.com/pylhc/accelerator_timeline
accelerator data-visualization energy history luminosity
Last synced: about 2 months ago
JSON representation
A non-exhaustive collection of past, modern and future accelerators including their main parameters
- Host: GitHub
- URL: https://github.com/pylhc/accelerator_timeline
- Owner: pylhc
- License: mit
- Created: 2023-08-16T07:55:04.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2023-09-04T16:39:11.000Z (about 2 years ago)
- Last Synced: 2024-04-23T13:57:39.084Z (over 1 year ago)
- Topics: accelerator, data-visualization, energy, history, luminosity
- Language: Python
- Homepage: https://pylhc.github.io/accelerator_timeline
- Size: 6.25 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
#
Accelerator Timeline
[](https://github.com/pylhc/accelerator_timeline/)
[](https://github.com/pylhc/accelerator_timeline/)
[](https://doi.org/10.5281/zenodo.8316137)
In this package, the main parameters of major historical, modern and possible future accelerators are
collected, including references to the origin of the collected data, into a single csv:
- [accelerator-parameters.csv](accelerator-parameters.csv).
## Installation
This package is mostly for collecting and sharing the data of the accelerators within
the CSV file.
To get the data, either download the [accelerator-parameters.csv](accelerator-parameters.csv) directly,
or clone the repository via `git`, e.g.::
```
git clone https://github.com/pylhc/accelerator_timeline.git
```
## Example Scripts
In addition, small python scripts are provided to explore the data via and create Livingston-like plots.
These charts are available interactively at:
- [pylhc.github.io/accelerator_timeline](https://pylhc.github.io/accelerator_timeline).
The python code itself can be found at
- [interactive_charts.py](interactive_charts.py), creating the interactive charts via plotly.
- [export_charts.py](export_charts.py), making publication-grade exports to pdf via matplotlib.
The requirements for the scripts can be found in the respective `requirements_*.txt` file.


