Install with Conda

It is also possible to install all the dependencies with Conda in a new environment.

Please note this method uses the latest stable Conda release of OpenMC. Some of the tasks require the development version of OpenMC. The PIP or Docker method make use of this newer development version of OpenMC.

This installation option supports Linux and has been tested most on Ubuntu

First install Miniconda or Anaconda, or Miniforge

• Miniforge

• Miniconda

• Anaconda

Once you have a version of Conda installed then proceed with cloning or download the repository.

sudo apt-get install git
git clone https://github.com/fusion-energy/neutronics-workshop.git
cd neutronics-workshop

Then create the environment with Conda.

conda env create --name neutronicsworkshop --file=environment.yml

Then activate the environment with

conda activate neutronicsworkshop

The download the nuclear data. This will create a nuclear_data folder in your home directory and download several Gb of data needed for the simulations

bash postBuild

Then you should be able to run the jupyter lab command and within Jupyter Lab you can load up the ipynb tasks found in the tasks folders.

jupyter lab

Then navigate to the task that you want to run in the tasks folder.