A Python Tools to imaging the shallow seismic structure

Overview

ShallowSeismicImaging

Tools to imaging the shallow seismic structure, above 10 km, based on the ZH ratio measured from the ambient seismic noise, and P polarization from tele-seismic P wave

Installation

First clone this repository or download code on machine where you would like to setup.

- Clone the repo

$ git clone https://github.com/SeisPider/ShallowSeismicImaging.git
$ cd ShallowSeismicImaging

- Install Python

Windows,Mac,Linux

- Instal SAC

SAC

- Install requirements.txt

$ pip install -r requirements.txt

Above command will install all the dependencies of project.

Folder structure

.
├── LICENSE
├── Noise.ZHratio.Measurement             # Measurment technique to obtain ZH ratio from ambient seismic noise
│   ├── Measurement                       # Measurement of ZH ratio
│   │   ├── Step1.Measurement.py         
│   │   ├── Step2.Constrain.moveavg.py
│   │   ├── Step3.Decomposition.py
│   │   ├── __pycache__
│   │   ├── info                          # Info. of seismic stations to measure
│   │   ├── measured.new3.Verification    # Verification for measurement result
│   │   ├── run.test.sh
│   │   └── utils.py                    
│   ├── data
│   │   └── getData.py
│   └── src                               # Source code for measurement
│       ├── Noise.py
│       ├── __init__.py
│       ├── __pycache__
│       └── utils.py
├── Polarization.Analysis                 # Measurement and inverison of P wave polarization
│   ├── analysis
│   │   ├── MOD.Verification
│   │   ├── POL.Verification
│   │   ├── Step1.Ppicks.py               # Automatic pick P arrival
│   │   ├── Step2.MeasureP.py             # Measure P apparent polariztaion angle
│   │   ├── Step3.PureInvertS.py          # Inversion for the Near-surface Vs 
│   │   ├── info                          # Info. of seismic stations to measure P polarization 
│   │   └── src
│   └── data
│       └── getData.py
├── README.md
└── requirements.txt
   

Support

If you face any problem or issue in configuration or usage of poolagency project as per the instruction documented above, Please feel free to communicate with ShallowSeismicImaging Development Team.

Reference

  1. Xiao X, Cheng S, Wu J, et al. Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function[J]. Geophysical Journal International, 2021, 225(2): 998-1019.
Owner
Xiao Xiao
PhD Candidate in Seismology
Xiao Xiao
Get mutations in cluster by querying from LAPIS API

Cluster Mutation Script Get mutations appearing within user-defined clusters. Usage Clusters are defined in the clusters dict in main.py: clusters = {

neherlab 1 Oct 22, 2021
Incubator for useful bioinformatics code, primarily in Python and R

Collection of useful code related to biological analysis. Much of this is discussed with examples at Blue collar bioinformatics. All code, images and

Brad Chapman 560 Jan 03, 2023
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
Data Analytics on Genomes and Genetics

Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass. DONE by TEAM SIGMA!

1 Jan 12, 2022
Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

statsmodels 8k Dec 29, 2022
SparseLasso: Sparse Solutions for the Lasso

SparseLasso: Sparse Solutions for the Lasso Introduction SparseLasso provides a Scikit-Learn based estimation of the Lasso with cross-validation tunin

Gabriel Okasa 1 Nov 08, 2021
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
Lale is a Python library for semi-automated data science.

Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-

International Business Machines 293 Dec 29, 2022
A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

3k Jan 02, 2023
Full automated data pipeline using docker images

Create postgres tables from CSV files This first section is only relate to creating tables from CSV files using postgres container alone. Just one of

1 Nov 21, 2021
Python reader for Linked Data in HDF5 files

Linked Data are becoming more popular for user-created metadata in HDF5 files.

The HDF Group 8 May 17, 2022
A set of procedures that can realize covid19 virus detection based on blood.

A set of procedures that can realize covid19 virus detection based on blood.

Nuyoah-xlh 3 Mar 07, 2022
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

qgrid Qgrid is a Jupyter notebook widget which uses SlickGrid to render pandas DataFrames within a Jupyter notebook. This allows you to explore your D

Quantopian, Inc. 2.9k Jan 08, 2023
pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

Joseph Wong 182 Nov 11, 2022
MapReader: A computer vision pipeline for the semantic exploration of maps at scale

MapReader A computer vision pipeline for the semantic exploration of maps at scale MapReader is an end-to-end computer vision (CV) pipeline designed b

Living with Machines 25 Dec 26, 2022
Data Analysis for First Year Laboratory at Imperial College, London.

Data Analysis for First Year Laboratory at Imperial College, London. For personal reference only, and to reference in lab reports and lab books.

Martin He 0 Aug 29, 2022
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks

The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge S

1 Jan 09, 2022
track your GitHub statistics

GitHub-Stalker track your github statistics 👀 features find new followers or unfollowers find who got a star on your project or remove stars find who

Bahadır Araz 34 Nov 18, 2022
Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022
A real data analysis and modeling project - restaurant inspections

A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re

Jafar Pourbemany 2 Aug 21, 2022