Plasma state identification in the COMPASS tokamak
收藏DataCite Commons2024-12-13 更新2024-07-13 收录
下载链接：
https://hdl.handle.net/11104/0342782
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资源简介：
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.
提供机构：
ASEP Repository
创建时间：
2023-05-16
