LPA Online Workshop on Control Systems and Machine Learning

Sitzung

Poster Session A Room 2

24.01.2022, 18:30

8. Open-Source Software and Data Formats for High Energy Density Physics

Dr. Peter V Heuer (Laboratory for Laser Energetics)

24.01.22, 18:30

Open and standardized data formats have numerous advantages, including streamlining collaboration, improving software interoperability, and lowering access barriers. However, most data in high energy density physics (HEDP) are currently stored in idiosyncratic instrument or laboratory-specific formats. Analysis software is likewise often written for use by a single author (often duplicating...

6. Optimisation of high-intensity laser-solid interactions using gaussian process regression.

Charlotte Palmer (QUB)

24.01.22, 18:35

Laser-driven energetic proton accelerators have the potential to provide compact sources of MeV energy, low emittance, sub-picosecond duration proton beams for a variety of applications. The primary impediment to their wider adoption is the challenge of shot-to-shot reproducibility and tuning of the parameters to optimize desirable proton beam qualities in a multi-dimensional parameter space....

24. Linac tuning using ML

Hayg Guler (IJCLAB)

24.01.22, 18:45

We present the ongoing experimental work on the ML for tuning of the RF gun and linac based on the associated diagnostics.

Our machine is based on Tango control system, currently operating at 10Hz, it was designed to control the machine (magnets, laser, RF, diags etc.), and perform dedicated physical measurements. This architecture allows us to easily integrate ML methods and tools to...