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}
}
https://doi.org/10.1103/PhysRevSTAB.18.102801
Web of Science
Works referenced in this record:
Multivariate optimization of a high brightness dc gun photoinjector
journal, March 2005
- Bazarov, Ivan V.; Sinclair, Charles K.
- Physical Review Special Topics - Accelerators and Beams, Vol. 8, Issue 3
Extremum seeking with bounded update rates
journal, January 2014
- Scheinker, Alexander; Krstić, Miroslav
- Systems & Control Letters, Vol. 63
In-hardware demonstration of model-independent adaptive tuning of noisy systems with arbitrary phase drift
journal, August 2014
- Scheinker, Alexander; Baily, Scott; Young, Daniel
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 756
Innovative applications of genetic algorithms to problems in accelerator physics
journal, January 2013
- Hofler, Alicia; Terzić, Balša; Kramer, Matthew
- Physical Review Special Topics - Accelerators and Beams, Vol. 16, Issue 1
Model-independent particle accelerator tuning
journal, October 2013
- Scheinker, Alexander; Pang, Xiaoying; Rybarcyk, Larry
- Physical Review Special Topics - Accelerators and Beams, Vol. 16, Issue 10
Minimum-Seeking for CLFs: Universal Semiglobally Stabilizing Feedback Under Unknown Control Directions
journal, May 2013
- Scheinker, Alexander; Krstic, Miroslav
- IEEE Transactions on Automatic Control, Vol. 58, Issue 5
Plasma wakefield acceleration experiments at FACET
journal, May 2010
- Hogan, M. J.; Raubenheimer, T. O.; Seryi, A.
- New Journal of Physics, Vol. 12, Issue 5
Global optimization of an accelerator lattice using multiobjective genetic algorithms
journal, October 2009
- Yang, Lingyun; Robin, David; Sannibale, Fernando
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 609, Issue 1
Multiobjective genetic algorithm optimization of the beam dynamics in linac drivers for free electron lasers
journal, March 2012
- Bartolini, R.; Apollonio, M.; Martin, I. P. S.
- Physical Review Special Topics - Accelerators and Beams, Vol. 15, Issue 3
Evolutionary Algorithm for the Neutrino Factory Front end Design
journal, February 2009
- Poklonskiy, Alexey A.; Neuffer, David
- International Journal of Modern Physics A, Vol. 24, Issue 05
Principle of vibrational control: Theory and applications
journal, August 1980
- Meerkov, S.
- IEEE Transactions on Automatic Control, Vol. 25, Issue 4
Optimization of wiggler magnets ordering using a genetic algorithm
journal, July 1992
- Hajima, Ryoichi; Takeda, Nobukazu; Ohashi, Hirotada
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 318, Issue 1-3
Simultaneous optimization of beam emittance and dynamic aperture for electron storage ring using genetic algorithm
journal, September 2011
- Gao, Weiwei; Wang, Lin; Li, Weimin
- Physical Review Special Topics - Accelerators and Beams, Vol. 14, Issue 9
An algorithm for online optimization of accelerators
journal, October 2013
- Huang, Xiaobiao; Corbett, Jeff; Safranek, James
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 726