results: 研究人员通过分析震动噪声的时空横列相关性，实际获得了火山内部的各种反射特征，以及水热系统的几何结构和动态行为。这些结果为火山的概念模型和高级监测带来了新的视角和信息。Abstract
In geophysics, volcanoes are particularly difficult to image because of the multi-scale heterogeneities of fluids and rocks that compose them and their complex non-linear dynamics. By exploiting seismic noise recorded by a sparse array of geophones, we are able to reveal the magmatic and hydrothermal plumbing system of La Soufri\`ere volcano in Guadeloupe. Spatio-temporal cross-correlation of seismic noise actually provides the impulse responses between virtual geophones located inside the volcano. The resulting reflection matrix can be exploited to numerically perform an auto-focus of seismic waves on any reflector of the underground. An unprecedented view on the volcano's inner structure is obtained at a half-wavelength resolution. This innovative observable provides fundamental information for the conceptual modeling and high-resolution monitoring of volcanoes.
摘要
在地球物理学中，火山特别难以成像，因为它们由多级不同性的液体和岩石组成，以及复杂非线性动态。我们通过利用地震噪声记录的稀疏阵列地震仪，能够揭示拉撒韦尔火山（La Soufri\`ere）在格瑞达岛的 магмати和 hidrotermal 沟管系统。在空间时间交叉相关的地震噪声中，实际提供了虚拟地震仪内部火山中的响应函数。得到的反射矩阵可以 numerically 进行自动фокус处理，以获得任何反射器的地下高分辨率视图。这种创新的可见提供了基本信息 для概念模型和高分辨率监测火山。