Muon tomography data analysis library
Project description
MuographBeta: muon tomography library
This repo provides a library for muon scattering tomography and muon transmission tomography data analysis.
Overview
As a disclaimer, this library is more of an aggregate of muon tomography algorithms used throughtout PhD research rather than a polished product for the general public. As such, this repo targets mostly muon tomography reaserchers and enthousiasts.
Users can find ready to use scattering density algorihms as well as samples of simulated data.
While curently being at a preliminary stage, this library is designed to be extended by users, whom are invited to implement their favorite reconstruction, material inference or image processing algorithms.
Requierments
The Python libraries required can be installed using Conda, a powerful command line tool for package and environment managment.
It can be installed following these instructions, based on your operating system.
Simply run the following command:
cd MuographBeta/
conda env create --file=environment.yml
You can then activate/deactivate the environment with:
conda activate muograph
conda deactivate
Installation
Now that the required libraries have been installed, the repository can be cloned:
git clone https://github.com/MaximeLagrange/MuographBeta.git
This repo Git Large File Storage (LFS) to handle the data files that are too large for GitHub. To ensure that all LFS files are downloaded, run the following command inside the repository folder:
git lfs pull
Examples
A few examples to introduce users to the package can be found in the ./example/
folder.
Project details
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