bhrugudave / synthetic-data-generation-using-gans-for-tokamak-plasma-current-quench-experiments

Tokamak Plasma Current Quench Synthetic Data

Contents of the Repository

• This repository contains the synthetic data generated by TabularGAN.
• SyntheticData contains 1750 synthetic data generated using 35 different experimental data.
• Each data contains two columns. (1) Normalized Time (2) Normalized Current
• These synthetic patterns can be used as a training set for ML models to predict the disruptions in the tokamak beforehand.
• The generated dataset is the output of the research titled Synthetic data generation using Generative Adversarial Network for tokamak plasma current quench experiments

Contributors

• Bhrugu Dave ([email protected])
• Sarthak Patel ([email protected])
• Rishi Shiwani ([email protected])