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

Steinbach, Peter

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{
  "issued": {
    "date-parts": [
      [
        2025, 
        12, 
        15
      ]
    ]
  }, 
  "id": "4187", 
  "abstract": "<p>This dataset simple_ARES.csv was generated with the open-source <a href=\"https://cheetah-accelerator.readthedocs.io/en/latest/index.html\">cheetah simulator</a> for didactical purposes.\u00a0</p>\r\n\r\n<p>To reproduce the dataset, do the following in a python 3.12 environment:</p>\r\n\r\n<p>1. source .venv/bin/activate</p>\r\n\r\n<p>2. uv sync</p>\r\n\r\n<p>3. python ./generate_simple.py # or execute all cells in ./generate_simple.ipynb</p>", 
  "DOI": "10.14278/rodare.4187", 
  "title": "A dataset for exploring regression and classification of particle accelerator control and resulting beam positions", 
  "type": "dataset", 
  "publisher": "Rodare", 
  "version": "0.1", 
  "author": [
    {
      "family": "Steinbach, Peter"
    }
  ]
}
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Publication date:
December 15, 2025
DOI:
10.14278/rodare.4187

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Keyword(s):
machine learning particle accelerators beam control beam quality
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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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