2022年1月20日 · We present a machine-learning-based model, capable of automatically identifying the position, spatial extent, and amplitude of ELM filaments. The model is a deep convolutional neural network that has been trained and optimized on an extensive set of manually labeled ECEI data from the KSTAR tokamak.

clotron Emission Imaging (ECEI) diagnostic systems. ECEI allows to infer electron temperature variations, often across a poloidal cross-section. Previously, detailed analyses of lamentary dy-namics and classi cation of the precursors to ELM crashes have been done manually. We present

A detailed study of edge-localized mode (ELM) dynamics in the KSTAR tokamak is performed using a two-dimensional (2D) electron cyclotron emission imaging (ECEI) diagnostic system.

2020年4月28日 · A change in ELM behaviour was seen due to edge electron heating although the effect of ECH launch needs supplementary analyses. The ECEI images of suppressed/mitigated ELM states showed apparent differences when compared with natural ELMy states. Further analyses are ongoing to explain the observed ELM control results.

2011年11月10日 · These ELM control experiments were supported by advanced diagnostics such as electron cyclotron emission imaging (ECEI), which can provide measurements of the plasma electron temperature with high spatial and time resolution at the edge, showing significant differences between the various ELM regimes studied (uncontrolled ELMs, controlled ELMs ...

2016年7月28日 · Visualization revealed that the edge-localized mode (ELM) evolves through multiple stages. ELM dynamics from“RF” emission†. ECE signal spectrogram provides information on the mode activities. RF signals capture the mode activities and the exact moment of crash. Positioning plasmas is critical (optimum coupling of MP?)

In KSTAR H-mode plasmas, ELM physics have been studied by a comparative study between measured ELM images by electron cyclotron emission imaging (ECEI) and edge simulations. In comparative study, the mode structure from the simulation is converted to a synthetic image.

Electron Cyclotron Emission Imaging (ECEI) system[1] was utilized successfully characterize the real time dynamics of ELMs[2] including the growth, saturation and bursting process of this instability during two campaigns (2010 and 2011) of the Korean

2022年1月9日 · Transitions from type-I to small edge localized modes (ELMs) and back are studied using the electron cyclotron emission imaging (ECEI) diagnostic on the ASDEX Upgrade (AUG). ECEI measurements show that the average poloidal velocity of temperature fluctuations of both type-I ELM onsets and small ELMs is the same and is close to 5–6 km s−1.

The KSTAR ECEI system has been used to study various MHD instabilities in the core and edge, including sawteeth, tearing modes, and edge localized modes. In the following example images of