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Title: Adaptive method for electron bunch profile prediction

Abstract

We report on an experiment performed at the Facility for Advanced Accelerator Experimental Tests (FACET) at SLAC National Accelerator Laboratory, in which a new adaptive control algorithm, one with known, bounded update rates, despite operating on analytically unknown cost functions, was utilized in order to provide quasi-real-time bunch property estimates of the electron beam. Multiple parameters, such as arbitrary rf phase settings and other time-varying accelerator properties, were simultaneously tuned in order to match a simulated bunch energy spectrum with a measured energy spectrum. The simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. The main result is a nonintrusive, nondestructive, real-time diagnostic scheme for prediction of bunch profiles, as well as other beam parameters, the precise control of which are important for the plasma wakefield acceleration experiments being explored at FACET. © 2015 authors. Published by the American Physical Society.

Authors:
;
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1241346
DOE Contract Number:  
AC02-76SF00515
Resource Type:
Journal Article
Journal Name:
Physical Review Special Topics. Accelerators and Beams
Additional Journal Information:
Journal Volume: 18; Journal Issue: 10; Journal ID: ISSN 1098-4402
Country of Publication:
United States
Language:
English

Citation Formats

Scheinker, Alexander, and Gessner, Spencer. Adaptive method for electron bunch profile prediction. United States: N. p., 2015. Web. doi:10.1103/PhysRevSTAB.18.102801.
Scheinker, Alexander, & Gessner, Spencer. Adaptive method for electron bunch profile prediction. United States. https://doi.org/10.1103/PhysRevSTAB.18.102801
Scheinker, Alexander, and Gessner, Spencer. 2015. "Adaptive method for electron bunch profile prediction". United States. https://doi.org/10.1103/PhysRevSTAB.18.102801.
@article{osti_1241346,
title = {Adaptive method for electron bunch profile prediction},
author = {Scheinker, Alexander and Gessner, Spencer},
abstractNote = {We report on an experiment performed at the Facility for Advanced Accelerator Experimental Tests (FACET) at SLAC National Accelerator Laboratory, in which a new adaptive control algorithm, one with known, bounded update rates, despite operating on analytically unknown cost functions, was utilized in order to provide quasi-real-time bunch property estimates of the electron beam. Multiple parameters, such as arbitrary rf phase settings and other time-varying accelerator properties, were simultaneously tuned in order to match a simulated bunch energy spectrum with a measured energy spectrum. The simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. The main result is a nonintrusive, nondestructive, real-time diagnostic scheme for prediction of bunch profiles, as well as other beam parameters, the precise control of which are important for the plasma wakefield acceleration experiments being explored at FACET. © 2015 authors. Published by the American Physical Society.},
doi = {10.1103/PhysRevSTAB.18.102801},
url = {https://www.osti.gov/biblio/1241346}, journal = {Physical Review Special Topics. Accelerators and Beams},
issn = {1098-4402},
number = 10,
volume = 18,
place = {United States},
year = {Thu Oct 01 00:00:00 EDT 2015},
month = {Thu Oct 01 00:00:00 EDT 2015}
}

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Works referencing / citing this record:

Model-Independent Tuning for Maximizing Free Electron Laser Pulse Energy
text, January 2019


Machine learning-based longitudinal phase space prediction of particle accelerators
journal, November 2018


Model-independent tuning for maximizing free electron laser pulse energy
journal, August 2019