Designing and Simulating Detectors for Muography Applications

POSTER

Abstract

Muography is a non-invasive imaging technique that uses cosmic ray muons to probe underground features such as mineral depositions. We have set up a simulation framework that uses CORSIKA to model cosmic ray air showers and GEANT4 to model interactions with cosmic ray muon detectors. We constructed detectors based on the CosmicWatch and IceCube detector designs and validated our simulation by benchmarking against performance results from these detectors. Using our validated simulation framework, we designed and simulated novel detectors using scintillators coupled to Silicon Photomultipliers (SiPMs) to read out signals. Our designs incorporate machine learning algorithms to reconstruct charged particle trajectories based on SiPM signals and ensembles of simulations based on our Geant4 framework. Our goal is to construct a robust and high-resolution imaging camera that is capable of running reliably in underground conditions.

Presenters

  • Ipsita Chaudhary

    • University of Illinois at Urbana-Champaign

Authors

  • Ipsita Chaudhary

    • University of Illinois at Urbana-Champaign