Experimental study of core MHD behavior and a novel algorithm for rational surface detection based on profile reflectometry in EAST

Abstract

Microwave reflectometry is a powerful diagnostic that can measure the density profile and localized turbulence with high spatial and temporal resolution and will be used in ITER, so the understanding of the influence of plasma perturbations on the reflect signal is important. The characteristics of the reflect signal from profile reflectometry, the time-of-fight (TOF) signal to the MHD instabilities are investigated in EAST. Using a 1D full-wave simulation code by the FDTD method, it is well validated that the local density flattening could induce the discontinuity of the simulated TOF signal and an obvious change of reflect amplitude. Experimental TOF signals associated with different types of MHD instabilities (sawtooth, sawtooth precursors and tearing mode) are studied in detail and show agreement with the simulation. Two new improved algorithms for detecting and localizing the radial positions of the low-order rational surface, the Cross-correlation and Gradient Threshold (CGT) method and the 2D Convolutional Neural Network approach (CNN) are presented for the first time. It is concluded that the TOF signal analysis from profile reflectometry can provide a straightforward and localized measurement of the plasma perturbation from the edge to the core simultaneously and may be a complement or correction to the q-profile control, which will be beneficial for the advanced tokamak operation.