Speaker
Description
Muography solves density distributions of geological or anthropic structures by analyzing muon flux attenuation. Several composite simulation frameworks carry out muography feasibility studies for specific targets. Those methodologies use diverse codes such as CORSIKA, CRY, MUSIC, and GEANT4, increasing computing time and simulation complexity till precision orders higher than needed.
We present the end-to-end python-based MUographY Simulation Code (MUYSC). MUYSC deploys a user-friendly muography simulation framework for making muograms of any geological structure in a few minutes, calculating muon telescope parameters (acceptance and angular resolution), observation times, and reconstructing 3-dimensional density distributions. MUYSC performance was evaluated by reproducing the results of composite simulation frameworks.
