论文标题
接收器功能和表面波分散的联合反转的多任务无味的卡尔曼反演
Multi-task Unscented Kalman Inversion for joint inversion of receiver function and surface wave dispersion
论文作者
论文摘要
基于最近开发的计算数学中无意义的卡尔曼反转理论，我们提出了一个贝叶斯关节反转框架，即多任务无心的卡尔曼反转（MTUKI），并将其应用于接收器功能（RF）和表面波浪分散（SWD）的关节反转（SWD）。该方法可以以无衍生化的方式共享不同观测值之间的信息，并为模型参数的后验分布（每层介质中的厚度和S波速度）提供有效的高斯近似值。理论和实验表明，我们提出的框架在鲁棒性，准确性和高效率方面表现出了卓越的性能。
Based on the recently developed theory of Unscented Kalman Inversion in computational mathematics, we proposed a Bayesian joint inversion framework, i.e., Multi-task Unscented Kalman Inversion (MTUKI), and apply it to the joint inversion of receiver function (RF) and surface wave dispersion (SWD). This method can share information between different observations in a derivative-free way and provide an efficient Gaussian approximation to the posterior distribution of model parameters (thickness and S-wave velocity in each layer of media). The theory and experiments show that our proposed framework demonstrates superior performance in terms of robustness, accuracy, and high efficiency.
