LPA Online Workshop on Control Systems and Machine Learning

Sitzung

Poster Session B Room 1

26.01.2022, 18:30

5. Surrogate modeling of Laser-Plasma acceleration

Anna Willmann

26.01.22, 18:30

Experimental research of the laser plasma acceleration processes and properties of beams is important and at the same time requires a lot of resources to perform highly complex experiments and analyse the obtained data. A surrogate of an experiment provides novel insights into the experimental study of laser plasma acceleration and promises optimization of the experiments. A reliable surrogate...

4. ML-based radiation diagnostics for recognition of self-injection radiation

Herr Friedrich Bethke (Helmholtz-Zentrum Dresden-Rossendorf (HZDR))

26.01.22, 18:50

Laser wakefield acceleration (LWFA) has demonstrated to be a small-scale alternative for accelerating electrons. With the discovery and experimental realization of the so-called blowout regime, quasi-monoenergetic electron bunches could be produced. Progress in LWFA beam quality and stability has always been tied to improvements in machine control and experimental diagnostics. One such...

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

Prof. Arkady Gonoskov (University of Gothenburg)

26.01.22, 18:50

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...