Parameter Estimation in Anisotropic Media

小行星9725427 本研究涉及从地壳和地幔物质的各向异性观测中估计各向异性参数的调查。 正演模拟技术将采用基于反射率法和全局优化方法，如模拟退火和遗传算法的参数估计问题。 先前的分析和数值研究表明，各向异性介质的地震数据模型参数的依赖性是高度非线性的，因此，非线性，全局优化方法是适合于此目的。 所解决的问题包括各向异性参数的唯一性，需要确定各向异性参数的数据类型，以及在给定的数据集中包含各向异性参数的重要性。 ***

9725427 Sen This research involves the investigation of anisotropic parameter estimation from observations of anisotropy in crustal and mantle materials. Forward modeling techniques will be used based on the reflectivity method and global optimization methods such as simulate annealing and genetic algorithms for the parameter estimation problem. Prior analytic and numerical investigations reveal that the dependence of model parameters on seismic data for anisotropic media is highly nonlinear and, therefore, a nonlinear, global optimization method is appropriate for this purpose. Questions addressed include the uniqueness of anisotropy parameters, the type of data needed to determine anisotropy parameters, and the importance of inclusion of anisotropy parameters in a given data set. ***