The Laser Megajoule facility: laser performances and comparison with computational simulation

V. Denis; V. Beau; L. Lacampagne; T. Chies; X. Julien; E. Bordenave; C. Lacombe; M. Sozet; S. Vermersch; J.-P. Airiau

doi:10.1117/12.2287342

15 February 2018 The Laser Megajoule facility: laser performances and comparison with computational simulation

V. Denis, V. Beau, L. Lacampagne, T. Chies, X. Julien, E. Bordenave, C. Lacombe, M. Sozet, S. Vermersch, J.-P. Airiau

Proceedings Volume 10525, High-Power Laser Materials Processing: Applications, Diagnostics, and Systems VII; 1052503 (2018) https://doi.org/10.1117/12.2287342
Event: SPIE LASE, 2018, San Francisco, California, United States

Abstract

The Laser MegaJoule (LMJ) is a 176-beam laser facility, located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy to targets, for high energy density physics experiments, including fusion experiments. The commissioning of the two first bundles of 8 beams was achieved in December 2016 and commissioning of next bundles is on the way.

A computational system, PARC has been developed and is under deployment to automate the laser setup process, and accurately predict laser energy and temporal shape. PARC is based on the computer simulation code MIRO. For each shot on LMJ, PARC determines the characteristics of the injection laser system required to achieve the desired main laser output and supplies post-shot data analysis and reporting.

The presentation compares energy end temporal shapes measured after amplification and after frequency conversion with results computed with PARC. For most of the LASER shots, both measurement and computed results agree within five percent accuracy.

Citation Download Citation

V. Denis, V. Beau, L. Lacampagne, T. Chies, X. Julien, E. Bordenave, C. Lacombe, M. Sozet, S. Vermersch, and J.-P. Airiau "The Laser Megajoule facility: laser performances and comparison with computational simulation", Proc. SPIE 10525, High-Power Laser Materials Processing: Applications, Diagnostics, and Systems VII, 1052503 (15 February 2018); https://doi.org/10.1117/12.2287342

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