Random scan optimization of a laser-plasma electron injector based on fast particle-in-cell simulations

被引:0
|
作者
Drobniak, P. [1 ]
Baynard, E. [1 ]
Bruni, C. [1 ]
Cassou, K. [1 ]
Guyot, C. [1 ]
Kane, G. [1 ]
Kazamias, S. [1 ]
Kubytskyi, V. [1 ]
Lericheux, N. [1 ]
Lucas, B. [1 ]
Pittman, M. [1 ]
Massimo, F. [2 ]
Beck, A. [3 ]
Specka, A. [3 ]
Nghiem, P. [4 ]
Minenna, D. [4 ]
机构
[1] Univ Paris Saclay, Lab Phys Infinis Irene Joliot Curie IJCLab 2, CNRS, IN2P3,UMR 9012, F-91405 Orsay, France
[2] Univ Paris Saclay, Lab Phys Gaz & Plasmas, CNRS, LPGP,UMR 8578, F-91405 Orsay, France
[3] Ecole Polytech, Lab Leprince Ringuet LLR, CNRS, UMR 7638, F-91128 Palaiseau, France
[4] Univ Paris Saclay, Ctr Saclay, CEA Irfu, F-91191 Gif Sur Yvette, France
关键词
D O I
10.1103/PhysRevAccelBeams.26.091302
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
The optimization and advanced study of a laser-plasma electron injector are presented based on a truncated ionization injection scheme for high quality beam production. The SMILEI code is used with laser envelope approximation and a low number of particles per cell to reach computation time performances enabling the production of a large number of accelerator configurations. The developed and tested workflow is a possible approach for the production of a large dataset for laser-plasma accelerator optimization. A selection of functions of merit used to grade generated electron beams is discussed. Among the significant number of configurations, two specific working points are presented in detail. All data generated are left open to the scientific community for further study and optimization.
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页数:11
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