Dataset Open Access

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

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

This repository contains data for the NeurIPS conference paper titled "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power".

Raw data is provided in the following files:

  • PBD2_VRFD_pbd2_stream_6_run52040_file114_20240227T153103.hdf5
  • PBD2_VRFD_pbd2_stream_6_run52040_file115_20240227T153214.hdf5
  • PBD2_VRFD_pbd2_stream_6_run52040_file116_20240227T153325.hdf5
  • PBD2_VRFD_pbd2_stream_6_run52040_file117_20240227T153436.hdf5

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.

Training data for the MLP model is contained in "electron_power_data_files_114_115_116_117.hdf5"

The training data contains 23 machine parameters as well as the temporal power profiles of 2826 electron bunches.

Files (1.2 GB)
Name Size
electron_power_data_files_114_115_116_117.hdf5
md5:da0fb7d7953e5d4ab44abb999ef03df0 		7.9 MB Download
PBD2_VRFD_pbd2_stream_6_run52040_file114_20240227T153103.hdf5
md5:983e98eb9d98d978f7da68315f9f08a1 		299.5 MB Download
PBD2_VRFD_pbd2_stream_6_run52040_file115_20240227T153214.hdf5
md5:011f1baf795b54a379ea847c9af545c1 		299.7 MB Download
PBD2_VRFD_pbd2_stream_6_run52040_file116_20240227T153325.hdf5
md5:9a173888cc1f39c8aa98707f82fc72da 		299.9 MB Download
PBD2_VRFD_pbd2_stream_6_run52040_file117_20240227T153436.hdf5
md5:a9b18259cb3e86c25667e540f27b3ef6 		299.8 MB Download
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Publication date:
November 12, 2024
DOI:
10.14278/rodare.3253

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10.14278/rodare.3253

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Keyword(s):
machine learning free electron laser linear accelerator
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-39889
Referenced by:
10.48550/arXiv.2411.09468, https://www.hzdr.de/publications/Publ-39922, https://www.hzdr.de/publications/Publ-41368
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License (for files):
Creative Commons Attribution 4.0 International

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Version 1 10.14278/rodare.3253 Nov 12, 2024
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