Pinned Repositories
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
srfpython
compute surface wave dispersion curves in python using Herrmann's codes
yuminzhao91's Repositories
yuminzhao91/srfpython
compute surface wave dispersion curves in python using Herrmann's codes
yuminzhao91/ABC
ABC (AmBient noise and Coda) is to compute cross correlation time functions from ambient noise or coda.
yuminzhao91/BayHunter
yuminzhao91/dispersion_codes
a collection of codes imlpementing three different techniques for measuring seismic surface wave multi-mode phase velocity dispersion
yuminzhao91/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"
yuminzhao91/dt-wavelet
Codes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.
yuminzhao91/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
yuminzhao91/EvoDCinv
Dispersion curve inversion using Evolutionary Algorithms
yuminzhao91/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
yuminzhao91/herrmannpython
Python call to Herrmann's codes for surface waves computation
yuminzhao91/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
yuminzhao91/mat_inverse_v2
Matlab application for inversion of Rayleigh phase velocity
yuminzhao91/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.
yuminzhao91/MSNoise
A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org
yuminzhao91/MuLTI
Multimodal Layered Transdimensional Inversion of Seismic Dispersion Curves with Depth Constraints
yuminzhao91/NDCP
Noisy Dispersion Curve Picking
yuminzhao91/nessi
Near Surface Seismic imaging using particle swarm optimization.
yuminzhao91/nessi.materials
Additionnal materials for NeSSI (presentations,notebooks...)
yuminzhao91/pylops
PyLops – A Linear-Operator Library for Python
yuminzhao91/pySOT
Surrogate Optimization Toolbox for Python
yuminzhao91/pyswarms
A research toolkit for particle swarm optimization in Python
yuminzhao91/rtseis
A Real-Time Seismic Signals Processing Toolkit
yuminzhao91/Seis-WZDOM
The first version of WZDOM toolbox for optimization and seismic inversion
yuminzhao91/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
yuminzhao91/SWAM2D
2D finite-difference fime-domain modeling code for P-Sv wave propagation
yuminzhao91/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
yuminzhao91/utm
Bidirectional UTM-WGS84 converter for python
yuminzhao91/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.
yuminzhao91/TrafficAttenuation
This repository contains the scripts for our manuscript "Seismic attenuation extraction from traffic signals 2 recorded by a single seismic station" accepted by Geophysical Research Letters.
yuminzhao91/yuminzhao91.github.io
This is the repository for my personal website. I forked this repository from alshedivat / al-folio and modified the files. You can access my personal website through this link: https://yuminzhao91.github.io/.