Radiative collapse is a phenomenon that the plasma suddenly terminates with strong radiation and that occurs when the plasma density is increased. In order to maintain a stable plasma in nuclear fusion power plants, it is necessary to detect the precursors (= anomalies) of radiative collapse and to control to avoid the collapse. In this project, we will use the database of the Large Helical Device (LHD) to develop and consider a program that can detect anomalies with higher accuracy.

(Left) Field of view of two-dimensional radiation measurement, (middle) radiation profile just before radiative collapse, and (right) detected anomaly radiation structure