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001     582788
005     20231025210536.0
037 _ _ |a PUBDB-2023-02175
041 _ _ |a English
100 1 _ |a Grech, Christian
|0 P:(DE-H253)PIP1095777
|b 0
|e Corresponding author
111 2 _ |a The 14th International Particle Accelerator Conference
|c Venice
|d 2023-05-07 - 2023-05-12
|w Italy
245 _ _ |a Virtual Photon Pulse Characterisation using Machine Learning methods
260 _ _ |c 2029
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
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500 _ _ |a This can be published to the public.
520 _ _ |a The use of fast computational tools is important in the operation of X-ray free electron lasers, in order to predict the output of diagnostics when they are either destructive or unavailable. Physics-based simulations can be computationally intensive to provide estimates on a real-time basis. This proposed work explores the use of machine learning to provide operators with estimates of key photon pulse characteristics related to beam pointing. A data pipeline is set up and the method is applied to the SASE1 undulator line at the European XFEL. This case study evaluates the performance of the model for different amounts of training data.
536 _ _ |a 621 - Accelerator Research and Development (POF4-621)
|0 G:(DE-HGF)POF4-621
|c POF4-621
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Accelerator Physics
|2 Other
650 _ 7 |a mc6-beam-instrumentation-controls-feedback-and-operational-aspects - MC6: Beam Instrumentation, Controls, Feedback and Operational Aspects
|2 Other
650 _ 7 |a mc6-a27-machine-learning-and-digital-twin-modelling - MC6.A27: Machine Learning and Digital Twin Modelling
|2 Other
693 _ _ |a XFEL
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700 1 _ |a Jafarinia, Farzad
|0 P:(DE-H253)PIP1080379
|b 1
700 1 _ |a Guetg, Marc
|0 P:(DE-H253)PIP1080263
|b 2
700 1 _ |a Geloni, Gianluca
|0 P:(DE-H253)PIP1000427
|b 3
700 1 _ |a Guest, Trey
|0 P:(DE-H253)PIP1093124
|b 4
856 4 _ |u https://bib-pubdb1.desy.de/record/582788/files/HTML-Approval_of_scientific_publication.html
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910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
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910 1 _ |a Deutsches Elektronen-Synchrotron
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910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
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910 1 _ |a European XFEL
|0 I:(DE-588)1043621512
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910 1 _ |a European XFEL
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910 1 _ |a European XFEL
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|6 P:(DE-H253)PIP1093124
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Materie und Technologie
|1 G:(DE-HGF)POF4-620
|0 G:(DE-HGF)POF4-621
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920 1 _ |0 I:(DE-H253)MXL-20160301
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|l Koordination des XFEL-Beschleunigers
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