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- W4383370169 abstract "We present ANSEICCA, an open-source package for forward and inverse modelling of seis- mic ambient noise cross-correlations at local scales, where the effects of Earth’s sphericity are negligible. The package implements a nonlinear finite-frequency inversion technique wherein measurements of cross-correlation energy are used to invert for the spatial distribution of am- bient noise sources, under the assumption of a fixed Earth structure model. It is seamlessly integrated with other open-source Python packages for seismic wave propagation modelling, in- cluding a C-based numerical solver for acoustic modelling in 2-D media. It is a unique package insofar as the inversion is based on finite-frequency sensitivity kernels, but executed without the adjoint method. Instead, speed and computational efficiency are achieved by parallelising the code. Moreover, the Hessian-based optimization ensures convergence in a relatively small num- ber of iterations (≈ 10), compared to purely gradient-based methods. We introduce the structure of the package in detail, describing both the serial and parallel versions of the code. Perfor- mance benchmarks show that ANSEICCA affords compute times of the order of a few minutes per iteration of inversion, with typical local-scale seismic array geometries." @default.
- W4383370169 created "2023-07-07" @default.
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- W4383370169 date "2023-07-10" @default.
- W4383370169 modified "2023-09-26" @default.
- W4383370169 title "ANSEICCA: a Python package for seismic ambient noise source inversion by cross-correlation modelling" @default.
- W4383370169 doi "https://doi.org/10.31223/x56t0j" @default.
- W4383370169 hasPublicationYear "2023" @default.
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