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Title: Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm

Journal Article · · Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
 [1];  [2];  [3];  [1];  [1];  [4];  [5];  [6];  [7];  [1];  [3];  [8]
  1. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Valley Christian High School, San Jose, CA (United States)
  3. Michigan State Univ., East Lansing, MI (United States). The Facility for Rare Isotope Beams
  4. Chinese Academy of Sciences (CAS), Beijing (China). Inst. of High Energy Physics
  5. Columbia Univ., New York, NY (United States)
  6. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  7. Elettra Sincrotrone Trieste S.C.p.A., Trieste (Italy)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
+ Show Author Affiliations

There is a great interest in generating high-power hard X-ray Free Electron Laser (FEL) in the terawatt (TW) level that can enable coherent diffraction imaging of complex molecules like proteins and probe fundamental high-field physics. A feasibility study of producing such X-ray pulses was carried out employing a configuration beginning with a Self-Amplified Spontaneous Emission FEL, followed by a “self-seeding” crystal monochromator generating a fully coherent seed, and finishing with a long tapered undulator where the coherent seed recombines with the electron bunch and is amplified to high power. The undulator tapering profile, the phase advance in the undulator break sections, the quadrupole focusing strength, etc. are parameters to be optimized. A Genetic Algorithm (GA) is adopted for this multi-dimensional optimization. Concrete examples are given for LINAC Coherent Light Source (LCLS) and LCLS-II-type systems. Analytical estimate is also developed to cross check the simulation and optimization results as a quick and complimentary tool.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Contributing Organization:
Michigan State Univ., East Lansing, MI (United States); Chinese Academy of Sciences (CAS), Beijing (China); Columbia Univ., New York, NY (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States); Elettra Sincrotrone Trieste S.C.p.A., Trieste (Italy); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
Grant/Contract Number:
AC02-76SF00515; FWP-2013-SLAC-100164; AC02-05CH11231
OSTI ID:
1353184
Alternate ID(s):
OSTI ID: 1411296; OSTI ID: 1439216
Journal Information:
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 846; ISSN 0168-9002
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (1)

Generation of large-bandwidth x-ray free electron laser with evolutionary many-objective optimization algorithm journal February 2019

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Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Free-Electron Lasers
Synchrotron radiation
Numerical optimization
Tapered undulator
Self-seeding
LCLS