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  1. fenix.tecnico.ulisboa.pt

    corroborate findings from other studies, but the acceleration distance and radiation results are new and can pave way to experiments to test these discoveries. The algorithm is general, and can be readily applied to any other class of optimization problems in plasma physics. Keywords: Machine Learning, Genetic Algorithm, Plasma, Optimization ...
  2. fenix.tecnico.ulisboa.pt

    a machine learning controlled PIC simulation code. 1.4. Machine learning Machine learning algorithms have been employed in several fields, and its importance has been grow-ing over the last few years. Several authors predict [3] that it should be as common as numerical sim-ulations in the future to come. Machine learning,
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  4. pubs.aip.org

    Laser-driven ion acceleration is a topic of significant importance in the field of laser-plasma interaction. The generation of high-energy ion beams holds great potential for applications in cancer therapy as well as for fundamental science studies. 1-3 Various acceleration schemes have been proposed. One widely studied scheme is target-normal sheath acceleration (TNSA), which involves ...
  5. pubs.aip.org

    We explore the applications of a variety of machine learning techniques in relativistic laser-plasma experiments beyond optimization purposes. With the trained supervised learning models, the beam charge of electrons produced in a laser wakefield accelerator is predicted given the laser wavefront change caused by a deformable mirror.
  6. link.aps.org

    Particle-in-cell simulations are among the most essential tools for the modeling and optimization of laser-plasma accelerators, since they reproduce the physics from first principles. However, the high computational cost associated with them can severely limit the scope of parameter and design optimization studies. Here, we show that a multitask Bayesian optimization algorithm can be used to ...
  7. accelconf.web.cern.ch

    MC6.D13 Machine Learning. TUPS49. TUPS: Tuesday Poster Session: TUPS. Content from this work may be used under the terms of the CC BY 4.0 licence (© 2024). Any distribution of this work must maintain attribution to the author(s), title of the work, publisher, and DOI.
  8. fusion-cdt.ac.uk

    need to be able to control our laser based x-ray sources if we are to apply them to radiography of ICF targets. High intensity laser plasma interactions are typically modelled using particle in cell (PIC) codes. These codes are computationally very expensive to run, requiring the use of large supercomputers. The particle acceleration often ...
  9. journals.aps.org

    point, we explain the injection and acceleration dynamics that result in optimal beam loading, based on the corre-sponding simulation shown in Fig. 2. As the laser pulse is focused through the target (z foc ¼ 4.75 mm), its leading edge preionizes the weakly bound energy levels of thegas atoms (H þ,N1−5), forming a background plasma of density n

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