Gamma-ray pixel noise simulator using Geant4

This is source code for the following publication.

Ren Komatsu, Hanwool Woo, Yusuke Tamura, Atsushi Yamashita and Hajime Asama, "Gamma-ray Image Noise Generation Using Energy-Image Converter Based on Image Histogram", Proceedings of the 2021 IEEE/SICE International Symposium on System Integration (SII2021), 2021.

Requirements

C++14 or newer

• Geant4

Python3.6 or newer

• Numpy
• OpenCV
• Jupyter notebook

How to run

This source code is written based on a simuation where 1.0 PBq of Co60 is placed as a radioactive source. You need to adjust some settings to use different radioactive sources.

Gamma-ray simulation using Geant4.

git clone https://github.com/matsuren/pixel_noise_sim_geant4.git
cd pixel_noise_sim_geant4
mkdir build && cd build && cmake ..
make -j
./Application_Main 10782150

Generate gamma-ray noise images.

cd notebook
jupyter notebook

Run parameter_estimation notebook to obtain optimized conversion paramters.

After that, run gamma_noise_image_convert notebook to generate gamma-ray noise images using optimized parameters.