Conveners
DB/2 Information retrieval, dimensionality reduction and visualisation in fusion databases: Session 9
- Joshua Stillerman (MIT Plasma Science and Fusion Center)
- Min Xu (Southwestern Institute of Physics)
Tokamak operations and Fusion plasma research datasets are vast and complex, presenting various challenges in data analysis and interpretation.
The development of cutting-edge tools based on Artificial Intelligence (AI), and machine learning (ML) algorithms can significantly accelerate fusion plasma research outcomes and optimize the tokamak operations.
We discuss the potential...
While the Integrated Modelling & Analysis Suite (IMAS [1]) is being developed further, the number of simulations available in IMAS is increasing both at ITER and within the Members. As a result, tools are needed to manage, curate and expose the large IMAS simulation databases to the potential users. Ad-hoc solutions have been developed in some cases, such as the ITER scenario database (2500+...
The analysis of data from fusion devices is a common and important task in Fusion Data Research (FDR). One which poses several practical challenges to scientists.
First, experimental programs generate an enormous amount of data which is hosted by dedicated institutions. Accessing this raw data requires authorization and either a very fast direct connection or enormous local storage...
As a necessary auxiliary heating method, Neutral Beam Injection (NBI) heating technology has high heating efficiency and clear physical mechanism to meet various needs of fusion experiments, so it will definitely become an indispensable key technology in future fusion research. NBI requires parameter tuning and optimization before it can be formally put into operation, so its operational data...
