Velocity Gradient Technique: a simple Demo

What is Velocity Gradient Technique?

Onilne Demo

The demo is hosted on our laztech Github page for Jupyter Notebook version. We also provide the Julia script for terminal user to run on the terminal environment.

Run on Local Machine

*The simulation data used on the demo can be found here: *

Prerequisite

1. Julia. VGT currently support Julia 0.6.
2. (Optional) Jupyter Notebook. After you download Julia, you could install Jupyter Notebook easily.
3. Julia Packages: HDF5, PyCall, PyPlot. This little script might be helpful:

# Package Install
# In your Julia terminal, type:
Pkg.add("HDF5");
Pkg.add("PyCall");
Pkg.add("PyPlot");

# You might also want to install Jupyter Notebook for the 
Pkg.add("IJulia")

To open Jupyter Notebook in your computer, simply type in your terminal:

jupyter-notebook

and navigate to the folder where you installed.

Quick Start

1. Download the VGT-demo folder to your local machine.
2. Open demo-VGT.jl if you're using Julia terminal or demo-VGT.ipynb if you're using Jupyter Notebook.
3. If you're using terminal, make sure you have the data cube in the same folder and change the corresponding data name in the code:

# Line 6~8 in demo-VGT.jl 
### Choose your cube here ###
dataname= "run-0-ppv.h5";   # <----- Put your cube name here
#---------------------------#