Speaker
Description
We develop an end-to-end Geant4 simulation framework for cosmic-ray muography of multi-kilometer-scale targets. To efficiently sample rare transmitted events, we use a staged workflow: (1) atmospheric muons are transported through topography-derived overburden and recorded on a virtual scoring plane to boost statistics within the instrument field-of-view; (2) the surviving phase space is re-simulated with a detailed detector model including Geant4 optical photon transport and SiPM response; (3) a Python-based electronics model converts Geant4/SiPM outputs into realistic digitized waveforms, trigger primitives, and reconstruction-level observables. The pipeline yields instrument-specific response functions for transmitted flux and angular distributions, supports high-statistics production on HPC resources, and enables quantitative detector design, validation, and systematic uncertainty studies.