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Title: Simultaneous optimization of the cavity heat load and trip rates in linacs using a genetic algorithm

In this paper, a genetic algorithm-based optimization is used to simultaneously minimize two competing objectives guiding the operation of the Jefferson Lab's Continuous Electron Beam Accelerator Facility linacs: cavity heat load and radio frequency cavity trip rates. The results represent a significant improvement to the standard linac energy management tool and thereby could lead to a more efficient Continuous Electron Beam Accelerator Facility configuration. This study also serves as a proof of principle of how a genetic algorithm can be used for optimizing other linac-based machines.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [2] ;  [2] ;  [6]
  1. Old Dominion Univ., Norfolk, VA (United States). Dept. of Physics and Center for Accelerator Science; Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
  2. Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
  3. Univ. of Florida, Gainesville, FL (United States)
  4. Old Dominion Univ., Norfolk, VA (United States)
  5. Old Dominion Univ., Norfolk, VA (United States). Center for Accelerator Science; Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
  6. Old Dominion Univ., Norfolk, VA (United States). Center for Accelerator Science and Dept. of Computer Science
Publication Date:
OSTI Identifier:
1180918
Report Number(s):
JLAB-ACP-14-1901; DOE/OR/23177-3198
Journal ID: ISSN 1098-4402; PRABFM
Grant/Contract Number:
AC05-06OR23177; 1359026
Type:
Published Article
Journal Name:
Physical Review Special Topics. Accelerators and Beams
Additional Journal Information:
Journal Volume: 17; Journal Issue: 10; Journal ID: ISSN 1098-4402
Publisher:
American Physical Society (APS)
Research Org:
Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS