Sanxi Ai (aisanxi)

aisanxi

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Company:WHIGG, CAS

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Sanxi Ai's repositories

disba

Numba-accelerated computation of surface wave dispersion

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Vs-1D-Taiwan

Data for paper '"Joint inversion of Rayleigh wave ellipticity and phase velocity for crustal structure in Taiwan"'

aisanxi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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AkiEstimate

Estimate dispersion from Ambient Noise Cross-Correlations using Aki's spectral formulation

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ASWMS-Q

Matlab version of GSDF method that includes azimuthal anisotropy and attenuation

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blog.seisman.info

SeisMan博客v3.0

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CC-FJpy

A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method

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CNCC

CNCC

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DAzimSurfTomo

Direct inversion of Rayleigh wave dispersion data for 3-D azimuthal anisotropy based on ray tracing

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Dispersion-maps-of-NE-Tibet

Rayleigh and Love wave dispersion maps from ambient noise eikonal tomography

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DSurfTomo

Direct inversion of surface dispersion data based on ray tracing

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FnetPy

A Python package to request seismic waveform data from F-net.

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MCTomo

2D and 3D Monte Carlo seismic tomography

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Noise_python

Python scripts to process noise data from raw to stacked CCFs

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NoisePy

A python code for ambient noise and receiver function analysis

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OBStools

Tools for processing broadband ocean-bottom seismic data

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peer-review

A template for peer review of scientific publications

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PyRaysum

Teleseismic body wave modeling through stacks of (dipping/anisotropic) layers

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RayDec

RayDec is a code to estimate the ellipticity of Rayleigh waves from 3-component single-station recordings

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Recfunk21

The latest distribution of Recfunk codes for computation of receiver functions and harmonic decomposition analysis.

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seismic-python

Python modules and scripts for seismic data processing

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seismo_live

Live Jupyter Notebooks for Seismology

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SeisPy

Python modules for seismic data processing

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unet_cea

U-net to detect P and S phases

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userfeedback

This repository is meant to collect feedback from EIDA users by means of its Issue Tracker

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