| 研究課題/領域番号 |
23K17152
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| 研究機関 | 国立研究開発法人量子科学技術研究開発機構 |
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研究代表者 |
黄 開 国立研究開発法人量子科学技術研究開発機構, 関西光量子科学研究所 光量子ビーム科学研究部, 主任研究員 (30866166)
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| 研究期間 (年度) |
2023-04-01 – 2025-03-31
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| キーワード | high power laser / accelerator / beam diagnostics / EO sampling / transition radiation / genetic algorithm |
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| 研究実績の概要 |
The first single shot measurement of the 3D density profile of the electron bunches from laser wakefield acceleration has been conducted by using the "TR-EO" technique. Both experiments and numerical studies have been carried out. The detailed 3D structure was reconstructed with genetic algorithm. The goal of this proposal has been fully accomplished.
For the experimental aspect: Optical transition radiation (OTR) imaging and electro-optic (EO) sampling were conducted simultaneously, for the transverse and longitudinal measurements of the electron bunch, respectively.
For the theoretical aspect: I have conducted systematic studies on the process of OTR imaging and EO spatial decoding.
Two papers have been published and several oral presentations have been given.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
Due to the experimental experience and numerical effort from my previous KAKENHI No. 21K17998, the experiments and numerical studies of this proposal have been carried out very smoothly. Very detailed numerical studies have been carried out. The calculation code for data analysis has been fully vectorized for the fast processing. Highly advanced experiments have been conducted. The 3D shape of the electron bunch was detected by simultaneously performing optic transition radiation imaging and electro-optic sampling. Detailed 3D structures to few micrometer levels were reconstructed using a genetic algorithm.
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| 今後の研究の推進方策 |
The goal of this proposal has been fully accomplished. Both experimental and numerical studies have been carried out. The results have been published on high-impact professional journals.
However, genetic algorithms were used to solve the inverse problem in the data analysis. It was time consuming. For the next step, I plan to perform machine learning on the whole detection system to speed up the process. In this way, it is possible to realize the real-time electron bunch 3D detection during the laser wakefield acceleration experiment.
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| 次年度使用額が生じた理由 |
In FY2023, a workstation with AMD 64-core CPU was originally planned for the purpose of data analysis and algorithm development. However, I found that the new Apple M2-ultra CPU has equally computing performance, but with cheaper price. I purchased the Apple Mac Studio. That was the reason why 603,630 yen was left in FY2023.
For the further optimization of the research, the residual amount will be used in FY2024 for the purchasing of a GPU for machine learning of the overall detection system and new types of EO crystals to enhance the temporal resolution of the detection.
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