LPA Online Workshop on Control Systems and Machine Learning

Sitzung

Machine learning techniques

27.01.2022, 16:00

Vorsitzende der Sitzung

Machine learning techniques

• Matthew Streeter (Imperial College London)

40. Cognitive Simulation models for inertial confinement fusion

Kelli Humbird (LLNL)

27.01.22, 16:15

Standard computer simulations for indirect drive inertial confinement fusion, without platform-specific corrections, often show discrepancy with experiments. In this talk, we present a machine learning based method for training models that correct for this discrepancy.

We combine simulation and experimental data via a technique called “transfer learning” to produce a model that is...

21. Advanced understanding of Laser-plasma acceleration by Machine Learning: overview of recent developments

Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)

27.01.22, 16:45

We will be reviewing recent machine learning techniques from the perspective of compact Laser-particle accelerators (electron and ions). High-fidelity simulations of the involved physical phenomena are carried out by computationally-expensive particle-in-cell simulations which are used for planning of experiments as well as subsequent analysis. We will be discussing methods for surrogate...

15. A comparison between the performances of machine learning algorithms in the case of laser profile images classification

Tudor Pascu (ELI-NP)

27.01.22, 17:20

The High Power Laser System (HPLS) at ELI-NP / IFIN-HH operation produces a large quantity of data. The laser beam profile images collected from the diagnostics bench help characterize the quality of the system’s operation. The present work focuses on the problem of image classification in order to augment the beam profile qualitative analysis. This leads to the application of machine...

12. Applications of Bayesian Inference in Radiation Reaction Experiments

Eva Los (Imperial College London)

27.01.22, 17:40

Radiation reaction, the recoil of a charge upon emitting radiation, is the subject of ongoing theoretical and experimental research, particularly in highly intense electromagnetic fields in which quantum effects become significant. In such environments, a QED treatment of radiation reaction is required. Various suitable theories have been proposed but have yet to be validated...

25. Multi-objective Multi-Fidelity optimization of LWFA using Expected Hypervolume Improvement

Faran Irshad (CALA-LMU Munich)

27.01.22, 18:00

Bayesian optimization has proven to be an efficient method to optimize expensive-to-evaluate systems such as a Laser Wakefield Accelerator (LWFA). However, depending on the cost of single observations, multi-dimensional optimizations of one or more objectives (Pareto optimization) may still be prohibitively expensive. Multi-fidelity optimization remedies this issue by including multiple,...