TomoATT: An open-source package for Eikonal equation-based adjoint-state traveltime tomography for seismic velocity and azimuthal anisotropy

IF 4.4 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jing Chen , Masaru Nagaso , Mijian Xu , Ping Tong
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引用次数: 0

Abstract

TomoATT is an open-source software package, aiming at determining seismic velocity and azimuthal anisotropy based on adjoint-state traveltime tomography methods. Key features of TomoATT include Eikonal equation modeling, adjoint-state method, sensitivity kernel regularization, and multi-level parallelization. Through several toy experiments, we demonstrate TomoATT's capability in accurate forward modeling, handling multipathing phenomenon, delivering reliable tomographic results, and achieving high-performance parallelization. Additionally, TomoATT is benchmarked with a synthetic experiment and two real-data applications in central California near Parkfield and Thailand. The successful recovery of the synthetic model, along with the imaging results that are consistent with previous studies and regional tectonics, verifies the effectiveness of TomoATT. Each inversion starts with only three simple input files (about model, data, and parameters) and completes within 2 h using 64 processors. Overall, TomoATT offers an efficient and user-friendly tool for regional and teleseismic traveltime tomography, empowering researchers to image subsurface structures and deepen our understanding of the Earth's interior.
TomoATT:基于Eikonal方程的地震速度和方位各向异性伴随状态走时层析成像的开源软件包
TomoATT是一个开源软件包,旨在基于伴随状态走时层析成像方法确定地震速度和方位各向异性。TomoATT的主要特点包括Eikonal方程建模、伴随状态法、灵敏度核正则化和多级并行化。通过几个玩具实验,我们证明了TomoATT在精确正演建模、处理多路径现象、提供可靠的层析成像结果和实现高性能并行化方面的能力。此外,TomoATT还在加州中部帕克菲尔德和泰国附近进行了一次综合实验和两次实际数据应用。综合模型的成功恢复,以及与前人研究和区域构造相一致的成像结果,验证了TomoATT的有效性。每次反转只从三个简单的输入文件(关于模型、数据和参数)开始,使用64个处理器在2小时内完成。总的来说,TomoATT为区域和远震旅行时断层成像提供了一种高效且用户友好的工具,使研究人员能够对地下结构进行成像,并加深我们对地球内部的了解。
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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