Jasmin Joshi-Thompson won first place at the "1st ENEN BSc and Msc Nuclear Competition and Summer School 2024" (Bratislava) with a presentation on her Master's thesis in the category "Radiation Protection and Nuclear Fusion". The Master's thesis “A Neural network for the analysis of Langmuir probe characteristics at the TJ-K stellarator” was carried out in the Plasma Dynamics and Diagnostics group. As part of the work, a new method for analyzing Langmuir probe data was developed and tested, which is based on neural networks. The new method correctly reproduces the actual electron density and temperature within a systematic error of 10% and thus allows a reliable and fast evaluation of the data in real time. We are delighted about the award and congratulate Jasmin Joshi-Thompson!
