alfkoehn / A-deep-learning-approach-to-the-inverse-microwave-scattering-problem-for-plasma-tomography

The final, heavily trimmed notebooks containing most of the machinery and some results from my master thesis work

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

10_final_notebooks

The final, heavily trimmed notebooks containing most of the machinery and some results from my master thesis work

Notebook 01 : The basic notebook containing the FDTD code and the setup needed to simulate the different cases studied.

Notebook 02 : A trimmed down version, containing only the JET-like profile setup, allowing the user to create a dataset of simulations for neural network training

Notebook 03 : The notebook containing all the neural network research for the plasma torch case

Notebook 04 : Similar to 03, but for the JET-like case

Notebook 05 : Another notebook for neural network creation, but this time not to predict the tomographic structure, but to predict the prescense of perturbation in the form of ELM proxies.

Notebook 06 : Again similar to 03 and 04, but now for the most complex case of the JET profiles with added ELM-like perturbations

-- Extra--

Notebook 99 : Not crucial, but can be used to create snapshots of the simulation, allowing the user to make videos, which, you have to admit, is quite nice.

About

The final, heavily trimmed notebooks containing most of the machinery and some results from my master thesis work


Languages

Language:Jupyter Notebook 100.0%