Number of the records: 1
Plasma state identification in the COMPASS tokamak
- 1.Zorek, M. - Škvára, V. - Šmídl, V. - Pevný, T. - Seidl, Jakub - Grover, Ondřej
Plasma state identification in the COMPASS tokamak.
Description: The dataset contains selected diagnostic measurements from the COMPASS tokamak and manually created labels of plasma state in the form of csv files. The dataset defines 4 plasma states: L-mode, H-mode, ELM leading edge and ELM trailing edge. The data is intended to be used for training and testing deep neural networks in the task of plasma state identification. The dataset is divided into two parts, supervised (labeled) and unsupervised (unlabeled), each containing 20 COMPASS discharges. Within the unsupervised dataset there are 11 labeled discharges that can be used as a test set.
OECD category: Fluids and plasma physics (including surface physics)
DOI: https://doi.org/10.57680/asep.0571890
https://hdl.handle.net/11104/0342782
Number of the records: 1