PG-RAD - Primary Gamma RADiation landscape simulator

PG-RAD is a command-line software package for simulating localisation of orphan sources using mobile gamma spectrometry. PG-RAD provides a framework for construction road geometries, arbitrary distributions of point sources, modelling the detector response to primary gammas. PG-RAD provides a configurable framework for constructing detector trajectories, defining radioactive source distributions, modelling detector response, and generating synthetic acquisition data. User input is specified through YAML configuration files, which makes simulations reproducible and easily shared.

Installation

PG-RAD is a Python 3 package and is only tested on x86_64 Linux systems. The following installation instructions were testing for a fresh virtual machine running Ubuntu 26.04 LTS.

Conda installation (Tested and recommended)

1. Install git by sudo apt update && sudo apt install git
2. Install miniforge by following these instructions.
3. Create a file called environment.yml, and paste the following in there:

name: my-pgrad-env
channels:
  - conda-forge
dependencies:
  - python=3.12
  - pip:
    - git+ssh://git@github.com/pim-n/pg-rad.git@v0.1.1

4. Run conda env create -f environment.yml to create the environment
5. Run conda activate pg-rad-analysis. You should now be in the conda environment my-pgrad-env.
6. To test if installation was succesful, run pgrad --example --show. If this runs without errors and produces visual output, PG-RAD is correctly installed.

Manual installation

If you prefer another virtual environment, you still need git installed. Ensure the Python version of the environment is >3.12.4 and <3.13. Then, with your virtual environment activated, run pip install git+ssh://git@github.com/pim-n/pg-rad.git@main. Run pgrad --example --show to check if the installation was successful.