3 papers
physics.plasm-ph2020
Plasma Confinement Mode Classification Using a Sequence-to-Sequence Neural Network With Attention
Francisco Matos, Vlado Menkovski, Alessandro Pau +2
In a typical fusion experiment, the plasma can have several possible confinement modes. At the TCV tokamak, aside from the Low (L) and High (H) confinement modes, an additional mod…
physics.data-an2020
Deep learning for Gaussian process tomography model selection using the ASDEX Upgrade SXR system
Francisco Matos, Jakob Svensson, Andrea Pavone +2
Gaussian process tomography (GPT) is a method used for obtaining real-time tomographic reconstructions of the plasma emissivity profile in a tokamak, given some model for the under…
physics.data-an2019
Classification of tokamak plasma confinement states with convolutional recurrent neural networks
F. Matos, V. Menkovski, F. Felici +2
During a tokamak discharge, the plasma can vary between different confinement regimes: Low (L), High (H) and, in some cases, a temporary (intermediate state), called Dithering (D).…