CHERT：黏弹性各向异性介质中基于缓存的哈密顿增强射线追踪
CHERT: Cached Hamiltonian-Enhanced Ray Tracing in Viscoelastic Anisotropic Media
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中文总结 AI 辅助
CHERT通过方向性缓存解耦哈密顿计算与最短路径追踪，在黏弹性各向异性介质中实现高效且一致的qP、qSH和qSV射线追踪。
中文摘要 AI 辅助
三句新颖性陈述：CHERT将g哈密顿射线量计算与场尺度最短路径射线追踪解耦，通过可重复使用的方向性缓存实现。该缓存按波模式、类别和采样射线方向索引，在轨迹更新期间提供射线速度、衰减和方向，无需重复进行哈密顿评估。与MSPM的受控比较表明，qP和qSH射线路径及走时场具有一致性，qSV路径选择具有敏感性，并显著减少了计算时间，而角覆盖和节点基准测试验证了CHERT的计算性能。
英文摘要
Three sentence novelty statement: CHERT decouples the g Hamiltonian ray quantity computation from field scale shortest path ray tracing through reusable directional caches. The cache is indexed by wave mode, class, and sampled ray direction, and provides ray velocity, attenuation, and direction during trajectory updates without repetitive Hamiltonian evaluations. Controlled comparisons against MSPM demonstrate qP and qSH raypaths and traveltime fields consistency, qSV path selection sensitivity, and significant computational time reduction, while the angular coverage and nodewise benchmark test validates the CHERTs computational performance.
发表机构
- Khalifa University of Science and Technology（哈利法科学技术大学）
- King Fahd University of Petroleum and Minerals（法赫德国王石油与矿产大学）
机构由 AI 辅助整理，请以论文原文为准。
