Virtual-diagnostic-based time stamping for ultrafast electron diffraction

In this work, nondestructive virtual diagnostics are applied to retrieve the electron beam time of arrival and energy in a relativistic ultrafast electron diffraction (UED) beamline using independently measured machine parameters. This technique has the potential to improve the temporal resolution o...

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Main Authors: F. Cropp, L. Moos, A. Scheinker, A. Gilardi, D. Wang, S. Paiagua, C. Serrano, P. Musumeci, D. Filippetto
Format: Article
Language:English
Published: American Physical Society 2023-05-01
Series:Physical Review Accelerators and Beams
Online Access:http://doi.org/10.1103/PhysRevAccelBeams.26.052801
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author F. Cropp
L. Moos
A. Scheinker
A. Gilardi
D. Wang
S. Paiagua
C. Serrano
P. Musumeci
D. Filippetto
author_facet F. Cropp
L. Moos
A. Scheinker
A. Gilardi
D. Wang
S. Paiagua
C. Serrano
P. Musumeci
D. Filippetto
author_sort F. Cropp
collection DOAJ
description In this work, nondestructive virtual diagnostics are applied to retrieve the electron beam time of arrival and energy in a relativistic ultrafast electron diffraction (UED) beamline using independently measured machine parameters. This technique has the potential to improve the temporal resolution of pump and probe UED scans. Fluctuations in time of arrival have multiple components, including a shot-to-shot jitter and a long-term drift which can be separately addressed by closed loop feedback systems. A linear-regression-based model is used to fit the beam energy and time of arrival and is shown to be able to predict accurate behavior for both long- and short-time scales. More advanced time-series analysis based on machine learning techniques can be applied to improve this prediction further.
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spelling doaj.art-c87a64586a024717a6267645966b792d2023-05-03T17:31:16ZengAmerican Physical SocietyPhysical Review Accelerators and Beams2469-98882023-05-0126505280110.1103/PhysRevAccelBeams.26.052801Virtual-diagnostic-based time stamping for ultrafast electron diffractionF. CroppL. MoosA. ScheinkerA. GilardiD. WangS. PaiaguaC. SerranoP. MusumeciD. FilippettoIn this work, nondestructive virtual diagnostics are applied to retrieve the electron beam time of arrival and energy in a relativistic ultrafast electron diffraction (UED) beamline using independently measured machine parameters. This technique has the potential to improve the temporal resolution of pump and probe UED scans. Fluctuations in time of arrival have multiple components, including a shot-to-shot jitter and a long-term drift which can be separately addressed by closed loop feedback systems. A linear-regression-based model is used to fit the beam energy and time of arrival and is shown to be able to predict accurate behavior for both long- and short-time scales. More advanced time-series analysis based on machine learning techniques can be applied to improve this prediction further.http://doi.org/10.1103/PhysRevAccelBeams.26.052801
spellingShingle F. Cropp
L. Moos
A. Scheinker
A. Gilardi
D. Wang
S. Paiagua
C. Serrano
P. Musumeci
D. Filippetto
Virtual-diagnostic-based time stamping for ultrafast electron diffraction
Physical Review Accelerators and Beams
title Virtual-diagnostic-based time stamping for ultrafast electron diffraction
title_full Virtual-diagnostic-based time stamping for ultrafast electron diffraction
title_fullStr Virtual-diagnostic-based time stamping for ultrafast electron diffraction
title_full_unstemmed Virtual-diagnostic-based time stamping for ultrafast electron diffraction
title_short Virtual-diagnostic-based time stamping for ultrafast electron diffraction
title_sort virtual diagnostic based time stamping for ultrafast electron diffraction
url http://doi.org/10.1103/PhysRevAccelBeams.26.052801
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