断层摄影术
曲面(拓扑)
国家(计算机科学)
地质学
计算机科学
物理
几何学
数学
光学
算法
作者
Mijian Xu,Shijie Hao,Jing Chen,Bingfeng Zhang,Ping Tong
摘要
Abstract SurfATT is a novel software package designed for ambient noise surface-wave tomography. It employs the innovative adjoint-state travel-time tomography method with the consideration of model inhomogeneity and surface topography. Key features of SurfATT include a user-friendly interface, efficient memory utilization, and high computational performance. As a result, it capably handles surface-wave tomography for large-scale datasets and models. Benchmark tests further highlight SurfATT’s remarkable performance, particularly on high-performance computing systems and Apple M1 Max chip, underscoring its potential compatibility across diverse computing environments. Its application to the western U.S. region showcases its effectiveness in generating high-resolution tomographic images and revealing spatial correlations with tectonic features. Overall, SurfATT emerges as an efficient solution for surface-wave tomography tasks, offering researchers and practitioners a powerful tool for understanding Earth’s subsurface structures.
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