Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm
Abstract
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.
- Authors:
-
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Valley Christian High School, San Jose, CA (United States)
- Michigan State Univ., East Lansing, MI (United States). The Facility for Rare Isotope Beams
- Chinese Academy of Sciences (CAS), Beijing (China). Inst. of High Energy Physics
- 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)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- Contributing Org.:
- 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)
- OSTI Identifier:
- 1353184
- Alternate Identifier(s):
- OSTI ID: 1411296; OSTI ID: 1439216
- Grant/Contract Number:
- AC02-76SF00515; FWP-2013-SLAC-100164; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Additional Journal Information:
- Journal Volume: 846; Journal ID: ISSN 0168-9002
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Free-Electron Lasers; Synchrotron radiation; Numerical optimization; Tapered undulator; Self-seeding; LCLS
Citation Formats
Wu, Juhao, Hu, Newman, Setiawan, Hananiel, Huang, Xiaobiao, Raubenheimer, Tor O., Jiao, Yi, Yu, George, Mandlekar, Ajay, Spampinati, Simone, Fang, Kun, Chu, Chungming, and Qiang, Ji. Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm. United States: N. p., 2016.
Web. doi:10.1016/j.nima.2016.11.035.
Wu, Juhao, Hu, Newman, Setiawan, Hananiel, Huang, Xiaobiao, Raubenheimer, Tor O., Jiao, Yi, Yu, George, Mandlekar, Ajay, Spampinati, Simone, Fang, Kun, Chu, Chungming, & Qiang, Ji. Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm. United States. https://doi.org/10.1016/j.nima.2016.11.035
Wu, Juhao, Hu, Newman, Setiawan, Hananiel, Huang, Xiaobiao, Raubenheimer, Tor O., Jiao, Yi, Yu, George, Mandlekar, Ajay, Spampinati, Simone, Fang, Kun, Chu, Chungming, and Qiang, Ji. Sun .
"Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm". United States. https://doi.org/10.1016/j.nima.2016.11.035. https://www.osti.gov/servlets/purl/1353184.
@article{osti_1353184,
title = {Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm},
author = {Wu, Juhao and Hu, Newman and Setiawan, Hananiel and Huang, Xiaobiao and Raubenheimer, Tor O. and Jiao, Yi and Yu, George and Mandlekar, Ajay and Spampinati, Simone and Fang, Kun and Chu, Chungming and Qiang, Ji},
abstractNote = {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.},
doi = {10.1016/j.nima.2016.11.035},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = ,
volume = 846,
place = {United States},
year = {Sun Nov 20 00:00:00 EST 2016},
month = {Sun Nov 20 00:00:00 EST 2016}
}
Web of Science
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