yuminzhao91 Goto Github PK

abc

ABC (AmBient noise and Coda) is to compute cross correlation time functions from ambient noise or coda.

bayhunter

dispersion_codes

a collection of codes imlpementing three different techniques for measuring seismic surface wave multi-mode phase velocity dispersion

dissertation-reproducibility-passive-das

This repo contains the code to reproduce figures in my dissertation "Passive Imaging and Characterization of the Subsurface With Distributed Acoustic Sensing"

dt-wavelet

Codes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.

egf-time-correction-toolbox

Matlab toolbox for estimating the Green's function from cross correlating ambient seismic noise and measure time shifts in seismic data

evodcinv

Dispersion curve inversion using Evolutionary Algorithms

fiberopticearthquakes

Scripts and data to recreate figures from the paper "Fiber-optic network observations of earthquake wavefields" by N.J. Lindsey, E.R. Martin, D.S. Dreger, B. Freifeld, S. Cole, S.R. James, B.L. Biondi, J.B. Ajo-Franklin

herrmannpython

Python call to Herrmann's codes for surface waves computation

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

mat_inverse_v2

Matlab application for inversion of Rayleigh phase velocity

modelscarp_inversion

Constraining the past seismic activity and the slip-rates of faults over several millennials is crucial for seismic hazard assessment. Chlorine 36 (36Cl) in situ produced cosmogenic nuclide is increasingly used to retrieve past earthquakes histories on seismically exhumed limestone normal fault-scarps. Following Schlagenhauf et al., [2010] modelling approach, we present a new methodology to retrieve the exhumation history based on a Bayesian transdimensional inversion of the 36Cl data. This procedure uses the reversible jump Markov chains Monte-Carlo algorithm (RJ-MCMC, Green [1995]) which enables 1-exploring the parameter space (number of events, age and slip of the events), 2-finding the more probable scenarios, and 3-precisely quantifying the associated uncertainties. Through a series of synthetic tests, the algorithm revealed a great capacity to constrain event slips and ages in a short computational time (several days) with a precision that can reach 0.1 ky and 0.5 m for the age and slip of exhumation event, respectively. In addition, our study show that the amount of 36Cl accumulated when the sampled fault-plane was still buried under the colluvial wedge, prior its exhumation, might represents up to 35 % of the total 36Cl. This contribution can be accurately determined with a depth profile, reducing uncertainty on the exhumation scenario.

msnoise

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

multi

Multimodal Layered Transdimensional Inversion of Seismic Dispersion Curves with Depth Constraints

ndcp

Noisy Dispersion Curve Picking

nessi

Near Surface Seismic imaging using particle swarm optimization.

nessi.materials

Additionnal materials for NeSSI (presentations,notebooks...)

pyfmincon

A Python bridge to Matlab's fmincon (requires a Matlab license).

pylops

PyLops – A Linear-Operator Library for Python

pymaswdisp

Python scripts to calculate experimental dispersion data from Multi-Channel Analysis of Surface Waves (MASW) data

pysot

Surrogate Optimization Toolbox for Python

pyswarms

A research toolkit for particle swarm optimization in Python

rtseis

A Real-Time Seismic Signals Processing Toolkit

runnerdetection

This repository contains the scripts for our paper "Urban Running Activity Detected Using a Seismic Sensor during COVID‐19 Pandemic" published in Seismological Research Letters.

seis-wzdom

The first version of WZDOM toolbox for optimization and seismic inversion

srfpython

compute surface wave dispersion curves in python using Herrmann's codes

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

surf

surface waves dispersion and kernels

surfwave_inv

A simple Rayleigh wave inversion code for exploration geophysics. The forward model implements the 1972 Schwab and Knopoff algorithm.

swam2d

2D finite-difference fime-domain modeling code for P-Sv wave propagation