Fig 1: Probability of breakdown depending on two parameters Fig 2: Examples of Paschen’s Curves
Goals: Investigate probability of plasma breakdown (creation of plasma) using learning machines algorithms i.e. Support Vector Machine with different setups of tokamak parameters. Mainly the role of the working gas and its pressure, toroidal electric field orientation and breakdown electric field will be investigated. The physical background is rather known but application of learning machines can help to extract more interesting information.
Reports: Learning machines report
Example of use:
./predict_breakdown.py --train --plot ./predict_breakdown.py --test --Ub=400 --Ucd=500 --pressure=27.84 --Tcd=0.01 ./predict_breakdown.py --outliers
Links to files :
predict_breakdown.py - the algorithm itself
data_object.py - class Data