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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. Thus, the simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. Finally, 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.

Authors:
;
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1223578
Alternate Identifier(s):
OSTI ID: 1185171; OSTI ID: 1236010
Report Number(s):
SLAC-PUB-16310; LA-UR-15-24596
Journal ID: ISSN 1098-4402; PRABFM; 102801
Grant/Contract Number:  
AC02-76SF00515; AC52-06NA25396
Resource Type:
Published Article
Journal Name:
Physical Review Special Topics. Accelerators and Beams
Additional Journal Information:
Journal Name: Physical Review Special Topics. Accelerators and Beams Journal Volume: 18 Journal Issue: 10; Journal ID: ISSN 1098-4402
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS; ACCPHY; bunch profiles; 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING

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. Thu . "Adaptive method for electron bunch profile prediction". United States. https://doi.org/10.1103/PhysRevSTAB.18.102801.
@article{osti_1223578,
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. Thus, the simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. Finally, 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.},
doi = {10.1103/PhysRevSTAB.18.102801},
journal = {Physical Review Special Topics. Accelerators and Beams},
number = 10,
volume = 18,
place = {United States},
year = {Thu Oct 15 00:00:00 EDT 2015},
month = {Thu Oct 15 00:00:00 EDT 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1103/PhysRevSTAB.18.102801

Citation Metrics:
Cited by: 26 works
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