24.–27. Jan. 2022
Europe/Berlin Zeitzone
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This event is part of the Laser-Plasma Accelerator Seminars. Click here for more information, including data protection.

Towards simulation-governed ML-based analysis of laser-plasma interactions

26.01.2022, 18:50
20m

Sprecher

Prof. Arkady Gonoskov (University of Gothenburg)

Beschreibung

A key problem in experimental diagnostics of laser-plasma interactions is identifying the interaction scenario using only limited measurement data. Using numerical simulations for training ML models to recognize interactions via measurements has the potential to become a powerful paradigm for complex experimental arrangements. This is because such ML-based diagnostics does not require either description or presence of notable signals, which would commonly be used for comparison of experimental and theoretical data. One of the difficulties lies in reaching ML model invariance, i.e. making the model tolerant to the transition between simulated and experimental data. These can differ due to limitations of measurement techniques or the simplifications and assumptions used in simulations. In this work we study the applicability of various approaches to improving ML-model invariance, including noise toleration via artificial contamination of simulated results and data augmentation via physics-governed composability of simulated outcomes. We assess the prospects in view of the following long-standing problems in laser-plasma physics: (1) laser-solid interaction characterization via generated high-order harmonic spectra [1, 2]; (2) peak intensity determination from the interaction with particle beams [2]; (3) diagnostics of tight-focusing of short laser pulses.
[1] A. Gonoskov et. al. Sci. Rep. 9 (1), 1-15 (2019)
[2] Y. Rodimkov et al., Sensors 21 (21), 6982 (2021)
[3] Y. Rodimkov et al., Entropy 23 (1), 21 (2021)

Hauptautoren

Prof. Arkady Gonoskov (University of Gothenburg) Herr Yury Rodimkov (Lobachevsky University) Dr. Shikha Bhadoria (University of Gothenburg) Herr Valentin Volokitin (Lobachevsky University) Dr. Evgeny Efimenko (Institute of Applied Physics of the Russian Academy of Sciences) Dr. Alexey Polovinkin (Adv Learning Systems, TDATA, Intel) Dr. Julien Ferri (University of Gothenburg) Prof. Thomas Blackburn (University of Gothenburg) Prof. Mattias Marklund (University of Gothenburg) Prof. Iosif Meyerov (Lobachevsky University)

Präsentationsmaterialien