Conveners
Thursday Morning 2
- Rodrigo Castro Rojo (CIEMAT)
In modern fusion research, uninterrupted access to historical data is critical for thorough post-discharge analysis, precise experiment control, and robust machine health monitoring. The ability to efficiently retrieve, visualize, and analyze large volumes of time-series data plays a central role in improving operational reliability and supporting data-driven decision-making.
This work...
This work explores the application of Convolutional Neural Networks (CNNs) for tomographic reconstruction of visible plasma radiation distribution at the GOLEM tokamak. The training datasets are generated from emissivity phantoms of the poloidal cross-section together with synthetic measurements from two visible cameras. CNNs are employed for their capability to capture local image patterns in...
