Special Session on New Frontiers in Data Analysis for Nuclear Fusion
Chair: Jesus Vega
In Magnetic Confinement Fusion, the operation of next generation devices will be significantly different compared to present day machines. The duration length of the discharges will require abandoning the traditional paradigm of processing and storing the data after the shot. In fact most information will have to be made available in real time. The significant issues of machine protection will require more sophisticated and at the same time more robust feedback control schemes. Another very important issue emerged in the last years of JET operation, and which is expected to become more severe in ITER, is the large amount of data to be analyzed, which cannot be handled in the most efficient way with traditional methods.
In this perspective, this special session welcomes advanced data analysis techniques to properly handle the forthcoming data analysis requirements in plasma physics.
Topics of interest include, but are not limited to:
- Disruption predictors
- Machine learning
- Reliable predictions
- Predictors from scratch
- Real-time data analysis
- Image processing