弹性波结构的收敛表示出现在刻意不同的地震训练路径中
Convergent representations of elastic-wave structure emerge across deliberately distinct seismic training routes
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中文总结 AI 辅助
本研究证明不同地震训练模型（PNSN与SeismicXM）在实验室声发射上形成收敛的波形表示，并支持跨尺度到达波迁移，凸显紧凑模型的泛化能力。
中文摘要 AI 辅助
弹性波传播将实验室断裂与地震联系起来，这为地震模型在不同物理尺度间复用波形结构提供了前景。本文表明，相位拾取器PNSN和多任务模型SeismicXM将未见过的实验室声发射围绕共同的波形关系进行组织。相对于匹配的随机网络，它们的表示在512条保留记录上达成一致。四个地震模型族也能追踪位移后的实验室到达波，而无需拟合目标神经权重。接收函数分类可被冻结的预训练特征访问，尽管标准化的随机特征仍具竞争力。噪声相关性测试了向连续传播输出的扩展：非线性SeismicXM集成优于随机拓扑，而周期中位数仍然更准确。波形干预和合成对照表明，观察到的协议取决于特征校准和所比较的波形。这些结果确立了跨不同地震训练路径的收敛波形组织，并表明跨尺度到达波迁移已经可被紧凑模型访问。
英文摘要
Elastic-wave propagation connects laboratory fracture with earthquakes, raising the prospect of seismic models that reuse waveform structure across physical scales. Here we show that the phase picker PNSN and the multi-task model SeismicXM organize unseen laboratory acoustic emissions around common waveform relations. Their representations agree on 512 held-out records relative to matched random networks. Four earthquake-model families also track displaced laboratory arrivals without fitting target neural weights. Receiver-function classification is accessible to frozen pretrained features, although standardized random features remain competitive. Noise correlations test the extension to continuous propagation outputs: a nonlinear SeismicXM ensemble improves on random topology, while a period-wise median remains more accurate. Waveform interventions and synthetic controls reveal that the observed agreement depends on feature calibration and the waveforms being compared. These results establish convergent waveform organization across distinct seismic training routes and show that cross-scale arrival transfer is already accessible to compact models.
发表机构
- Institute of Geophysics, China Earthquake Administration（中国地震局地球物理研究所）
- University of Chinese Academy of Sciences（中国科学院大学）
- Laboratory of Seismology and Physics of Earth’s Interior, School of Earth and Space Sciences, University of Science and Technology of China（中国科学技术大学地球和空间科学学院地球内部地震学与物理学实验室）
- Institute of Advanced Technology, University of Science and Technology of China（中国科学技术大学先进技术研究院）
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