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Training data for "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power"

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


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  <dc:creator>Korten, Till</dc:creator>
  <dc:creator>Steinbach, Peter</dc:creator>
  <dc:creator>Mirian, Najmeh Sadat</dc:creator>
  <dc:date>2024-11-12</dc:date>
  <dc:description>This repository contains data for the NeurIPS conference paper titled "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power".&#13;
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Raw data is provided in the following files:&#13;
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 PBD2_VRFD_pbd2_stream_6_run52040_file114_20240227T153103.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file115_20240227T153214.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file116_20240227T153325.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file117_20240227T153436.hdf5&#13;
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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.&#13;
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Training data for the MLP model is contained in "electron_power_data_files_114_115_116_117.hdf5"&#13;
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The training data contains 23 machine parameters as well as the temporal power profiles of 2826 electron bunches.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/3253</dc:identifier>
  <dc:identifier>10.14278/rodare.3253</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:3253</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-39889</dc:relation>
  <dc:relation>doi:10.14278/rodare.3252</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>machine learning</dc:subject>
  <dc:subject>free electron laser</dc:subject>
  <dc:subject>linear accelerator</dc:subject>
  <dc:title>Training data for "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power"</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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