The critical gradient mode (CGM) is employed to predict the energetic particle (EP) transport induced by the Alfvn eigenmode (AE). To improve the model, the normalized critical density gradient is set as an inverse proportional function of energetic particle density; consequently, the threshold evolves during EP transport. Moreover, in order to consider the EP orbit loss mechanism in CGM, ORBIT code is employed to calculate the EP loss cone in phase space. With these improvements, the AE enhances EPs radial transport, pushing the particles into the loss cone. The combination of the two mechanisms raises the lost fraction to 6.6%, which is higher than the linear superposition of the two mechanisms. However, the loss is still far lower than that observed in current experiments. Avoiding significant overlap between the AE unstable region and the loss cone is a key factor in minimizing EP loss.

临界梯度模式 (CGM) 用于预测由 Alfvn 本征模式 (AE) 引起的高能粒子 (EP) 传输。为了改进模型，将归一化临界密度梯度设置为高能粒子密度的反比函数；因此，阈值在 EP 传输过程中会发生变化。此外，为了考虑 CGM 中的 EP 轨道损失机制，采用 ORBIT 代码计算相空间中的 EP 损失锥。通过这些改进，AE 增强了 EP 的径向传输，将粒子推入损耗锥。两种机制的结合将损失率提高到 6.6%，高于两种机制的线性叠加。但是，损失仍然远低于当前实验中观察到的损失。