Optimization of laser-driven quantum beam generation and the applications with artificial intelligence

被引：1

作者：

Kuramitsu, Y. ^{[1
,2
,3
]}

Taguchi, T. ^{[1
]}

Nikaido, F. ^{[1
]}

Minami, T. ^{[1
]}

Hihara, T. ^{[1
]}

Suzuki, S. ^{[1
]}

Oda, K. ^{[1
]}

Kuramoto, K. ^{[1
]}

Yasui, T. ^{[1
]}

Abe, Y. ^{[1
]}

Ibano, K. ^{[1
]}

Takabe, H. ^{[1
]}

Chu, C. M. ^{[4
]}

Wu, K. T. ^{[4
]}

Woon, W. Y. ^{[4
]}

Chen, S. H. ^{[4
]}

Jao, C. S. ^{[5
]}

Chen, Y. C. ^{[6
]}

Liu, Y. L. ^{[7
]}

Morace, A. ^{[2
]}

Yogo, A. ^{[2
]}

Arikawa, Y. ^{[2
]}

Kohri, H. ^{[8
]}

Tokiyasu, A. ^{[9
]}

Kodaira, S. ^{[10
]}

Kusumoto, T. ^{[10
]}

Kanasaki, M. ^{[11
,12
]}

Asai, T. ^{[3
]}

Fukuda, Y. ^{[3
]}

Kondo, K. ^{[3
]}

Kiriyama, H. ^{[3
]}

Hayakawa, T. ^{[3
]}

Tanaka, S. J. ^{[1
]}

Isayama, S. ^{[13
]}

Watamura, N. ^{[14
]}

Suzuki, H. ^{[14
]}

Kumar, H. S. ^{[15
]}

Ohnishi, N. ^{[15
]}

Pikuz, T. ^{[16
]}

Filippov, E. ^{[17
]}

Sakai, K. ^{[1
]}

Yasuhara, R. ^{[18
]}

Nakata, M. ^{[18
,19
]}

Ishikawa, R. ^{[18
]}

Hoshi, T. ^{[18
]}

Mizuta, A. ^{[20
]}

Bolouki, N. ^{[21
]}

Saura, N. ^{[22
]}

Benkadda, S. ^{[22
]}

Koenig, M. ^{[1
,23
]}

机构：

[1] Osaka Univ, Grad Sch Engn, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan

[2] Osaka Univ, Inst Laser Engn, 2-6 Yamadaoka, Suita, Osaka 5650871, Japan

[3] Natl Inst Quantum Sci & Technol QST, Kansai Inst Photon Sci KPSI, 8-1-7 Umemidai, Kizugawa, Kyoto 6190215, Japan

[4] Natl Cent Univ, Dept Phys, 300 Jhongda Rd, Taoyuan 320, Taiwan

[5] Natl Cheng Kung Univ, Dept Phys, Tainan 701, Taiwan

[6] Natl Appl Res Labs, Natl Ctr High Performance Comp, Tainan 711010, Taiwan

[7] Natl Cheng Kung Univ, Inst Space & Plasma Sci, Tainan 701, Taiwan

[8] Osaka Univ, Res Ctr Nucl Phys, 10-1 Mihogaoka, Osaka, Ibaraki 5670047, Japan

[9] Tohoku Univ, Res Ctr Accelerator & Radioisotope Sci, 1-2-1 Mikamine,Taihaku Ku, Sendai, Miyagi 9820826, Japan

[10] Inst Radiol Sci NIRS, Natl Inst Quantum & Radiol Sci & Technol QST, Chiba 2638555, Japan

[11] Kobe Univ, Grad Sch Maritime Sci, Kobe 6580022, Japan

[12] Aoyama Gakuin Univ, Dept Phys Sci, 5-10-1 Fuchinobe, Sagamihara, Kanagawa 2525258, Japan

[13] Kyushu Univ, Dept Adv Environm Sci & Engn, 6-1 Kasuga Kohen, Kasuga, Fukuoka 8168580, Japan

[14] Osaka Univ, Grad Sch Informat Sci & Technol, 2-1 Yamadaoka, Suita 5650871, Japan

[15] Tohoku Univ, Dept Aerosp Engn, 6-6-01 Aramakiazaaoba,Aoba Ku, Sendai 9808579, Japan

[16] Osaka Univ, Inst Open & Transdisciplinary Res Initiat, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan

[17] Ctr Laseres Pulsados CLPU, Salamanca 37185, Spain

[18] Natl Inst Fus Sci, 322-6 Oroshicho, Toki, Gifu 5095292, Japan

[19] Komazawa Univ, Fac Arts & Sci, 1-23-1 Komazawa,Setagaya Ku, Tokyo 1548525, Japan

[20] RIKEN, Astrophys Big Bang Lab, Wako, Saitama 3510198, Japan

[21] Masaryk Univ, Fac Sci, Dept Plasma Phys & Technol, Kotlarska 2, Brno 61137, Czech Republic

[22] Aix Marseille Univ, CNRS, PIIM, UMR 7345, Marseille, France

[23] Univ Paris 06 Sorbonne Univ, Ecole Polytech, Inst Polytech Paris, LULI,CNRS,CEA,UPMC, F-91128 Palaiseau, France

来源：

PHYSICS OF PLASMAS | 2024年 / 31卷 / 05期

基金：

日本学术振兴会;

关键词：

D O I：

10.1063/5.0190062

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We have investigated space and astrophysical phenomena in nonrelativistic laboratory plasmas with long high-power lasers, such as collisionless shocks and magnetic reconnections, and have been exploring relativistic regimes with intense short pulse lasers, such as energetic ion acceleration using large-area suspended graphene. Increasing the intensity and repetition rate of the intense lasers, we have to handle large amounts of data from the experiments as well as the control parameters of laser beamlines. Artificial intelligence (AI) such as machine learning and neural networks may play essential roles in optimizing the laser and target conditions for efficient laser ion acceleration. Implementing AI into the laser system in mind, as the first step, we are introducing machine learning in ion etch pit analyses detected on plastic nuclear track detectors. Convolutional neural networks allow us to analyze big ion etch pit data with high precision and recall. We introduce one of the applications of laser-driven ion beams using AI to reconstruct vector electric and magnetic fields in laser-produced turbulent plasmas in three dimensions.

引用

页数：12

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