Dataset Open Access

A dataset for exploring regression and classification of particle accelerator control and resulting beam positions

Steinbach, Peter

This dataset simple_ARES.csv was generated with the open-source cheetah simulator for didactical purposes. 

To reproduce the dataset, do the following in a python 3.12 environment:

1. source .venv/bin/activate

2. uv sync

3. python ./generate_simple.py # or execute all cells in ./generate_simple.ipynb

Files (7.0 MB)
Name Size
generate_simple.ipynb
md5:b0b450674dd1a3355d610b952a880a5b 		10.4 kB Download
generate_simple.py
md5:4902b2cde12bcdc684d1ca3ec5bbe30c 		6.9 kB Download
pyproject.toml
md5:1a39974d6d95fa97e44a54d29d7dcb08 		290 Bytes Download
simple_ARES.csv
md5:2fd04218046e74ef6b9a01f4e1edba2a 		6.8 MB Download
uv.lock
md5:be33cd76f876bcaa4d23fa649ab83cea 		208.4 kB Download
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Publication date:
December 15, 2025
DOI:
10.14278/rodare.4187

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10.14278/rodare.4187

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Keyword(s):
machine learning particle accelerators beam control beam quality
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-42455
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License (for files):
Creative Commons Attribution 4.0 International

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Version 0.1 10.14278/rodare.4187 Dec 15, 2025
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