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...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2023-05-01
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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. |
first_indexed | 2024-04-09T14:29:45Z |
format | Article |
id | doaj.art-c87a64586a024717a6267645966b792d |
institution | Directory Open Access Journal |
issn | 2469-9888 |
language | English |
last_indexed | 2024-04-09T14:29:45Z |
publishDate | 2023-05-01 |
publisher | American Physical Society |
record_format | Article |
series | Physical Review Accelerators and Beams |
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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