November 12, 2024 Dataset Open Access

Korten, Till; Steinbach, Peter; Mirian, Najmeh Sadat

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  "sameAs": [
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  "datePublished": "2024-11-12", 
  "distribution": [
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      "fileFormat": "hdf5", 
      "contentUrl": "https://rodare.hzdr.de/api/files/449347b6-a78d-402c-a727-0da567ee3315/electron_power_data_files_114_115_116_117.hdf5", 
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  "keywords": [
    "machine learning", 
    "free electron laser", 
    "linear accelerator"
  ], 
  "creator": [
    {
      "@type": "Person", 
      "name": "Korten, Till", 
      "@id": "https://orcid.org/0000-0002-2315-9247", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf HZDR"
    }, 
    {
      "@type": "Person", 
      "name": "Steinbach, Peter", 
      "@id": "https://orcid.org/0000-0002-4974-230X", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf HZDR"
    }, 
    {
      "@type": "Person", 
      "name": "Mirian, Najmeh Sadat", 
      "@id": "https://orcid.org/0000-0002-6152-2721", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf HZDR"
    }
  ], 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "url": "https://rodare.hzdr.de/record/3253", 
  "description": "<p>This repository contains data for the NeurIPS conference paper titled \"Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power\".</p>\r\n\r\n<p>Raw data is provided in the following files:</p>\r\n\r\n<ul>\r\n <li>PBD2_VRFD_pbd2_stream_6_run52040_file114_20240227T153103.hdf5</li>\r\n <li>PBD2_VRFD_pbd2_stream_6_run52040_file115_20240227T153214.hdf5</li>\r\n <li>PBD2_VRFD_pbd2_stream_6_run52040_file116_20240227T153325.hdf5</li>\r\n <li>PBD2_VRFD_pbd2_stream_6_run52040_file117_20240227T153436.hdf5</li>\r\n</ul>\r\n\r\n<p>The raw data contains 23 machine parameters as well as the longitudinal phase space images of 2826 shots in the lasing-off regime of the FLASH2 beamline at DESY Hamburg.</p>\r\n\r\n<p>Training data for the MLP model is contained in \"electron_power_data_files_114_115_116_117.hdf5\"</p>\r\n\r\n<p>The training data contains 23 machine parameters as well as the temporal power profiles of 2826 electron bunches.</p>", 
  "@type": "Dataset", 
  "name": "Training data for \"Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power\"", 
  "identifier": "https://doi.org/10.14278/rodare.3253", 
  "@id": "https://doi.org/10.14278/rodare.3253"
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