Optimization of High Harmonic Generation by Genetic Algorithm

Constance Valentin 1 Olga Boyko 1 Evaggelos Papalazarou 1 Gilles Rey 1 Brigitte Mercier 1 Laura Antonucci 1 Philippe Balcou 1
1 LOA - Laboratoire d'optique appliquée
Abstract : In order to develop an intense Extreme Ultra-Violet source based on High Harmonics Generation (HHG) for many applications, we have performed HHG signal optimization experiments. It has been shown that HHG is very sensitive to temporal fundamental pulse shape. For these experiments, we have used an acousto-optical programmable dispersive filter (Dazzler) in order to modify the spectral phase of the fundamental laser. We have optimized harmonic signals generated in argon gas cell with the help of an genetic algorithm up to a factor 6. We stress on the influence of macroscopic parameters on the optimization process. For the first time, we show and explain the algorithm sensitivity to phase-matching conditions.
Keywords : high harmonic generation learning algorithm
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Journal articles
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https://hal-polytechnique.archives-ouvertes.fr/hal-00520984
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Submitted on : Friday, September 24, 2010 - 4:33:34 PM
Last modification on : Monday, October 21, 2019 - 4:00:05 PM

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Constance Valentin, Olga Boyko, Evaggelos Papalazarou, Gilles Rey, Brigitte Mercier, et al.. Optimization of High Harmonic Generation by Genetic Algorithm. Acta Physica Hungarica B) Quantum Electronics, 2006, 26 (3-4), pp.335-342. ⟨10.1556/APH.26.2006.3-4.14⟩. ⟨hal-00520984⟩

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