Efficient optimization of plasma surface high harmonic generation by an improved Bayesian strategy
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866917824814907392 |
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| author | Fan, Lili Wang, Ziwei Liao, Chenfei Wang, Jingwei |
| author_facet | Fan, Lili Wang, Ziwei Liao, Chenfei Wang, Jingwei |
| contents | Plasma surface high-order harmonics generation (SHHG) driven by intense laser pulses on plasma targets enables a high-quality extreme ultraviolet source with high pulse energy and outstanding spatiotemporal coherence. Optimizing the performance of SHHG is important for its applications in single-shot imaging and absorption spectroscopy. In this work, we demonstrate the optimization of laser-driven SHHG by an improved Bayesian strategy in conjunction with particle-in-cell simulations. A traditional Bayesian algorithm is first employed to optimize the SHHG intensity in a two-dimensional space of parameter. Then an improved Bayesian strategy, using the Latin hypercube sampling technique and a dynamic acquisition strategy, is developed to overcome the curse of dimensionality and the risk of local optima in a high-dimensional space optimization. The improved Bayesian optimization approach is efficient and robust in three-dimensionally optimizing the harmonic ellipticity, paving the way for the upcoming SHHG experiments with a considerable repetition rate. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2410_24051 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Efficient optimization of plasma surface high harmonic generation by an improved Bayesian strategy Fan, Lili Wang, Ziwei Liao, Chenfei Wang, Jingwei Plasma Physics Mathematical Physics Plasma surface high-order harmonics generation (SHHG) driven by intense laser pulses on plasma targets enables a high-quality extreme ultraviolet source with high pulse energy and outstanding spatiotemporal coherence. Optimizing the performance of SHHG is important for its applications in single-shot imaging and absorption spectroscopy. In this work, we demonstrate the optimization of laser-driven SHHG by an improved Bayesian strategy in conjunction with particle-in-cell simulations. A traditional Bayesian algorithm is first employed to optimize the SHHG intensity in a two-dimensional space of parameter. Then an improved Bayesian strategy, using the Latin hypercube sampling technique and a dynamic acquisition strategy, is developed to overcome the curse of dimensionality and the risk of local optima in a high-dimensional space optimization. The improved Bayesian optimization approach is efficient and robust in three-dimensionally optimizing the harmonic ellipticity, paving the way for the upcoming SHHG experiments with a considerable repetition rate. |
| title | Efficient optimization of plasma surface high harmonic generation by an improved Bayesian strategy |
| topic | Plasma Physics Mathematical Physics |
| url | https://arxiv.org/abs/2410.24051 |