Methodological Framework for Density Estimation: Insights from Muography Laboratory Measurements and Simulations Experiments

Ahmed Khaled Eleslambouly, Hamid Basiri, Mohammed Ali, Jun Matsushima, Masashi Kodama, Toshiyuki Yokota, Fateh Bouchalaa

Research output: Contribution to journalConference articlepeer-review

Abstract

Muography is a passive geophysical method that is advancing for multiple imaging applications. In this study, we present a methodological framework for muography to estimate density at a varying density-length. We utilized the muon absorption method to estimate material density, employing both experimental setups with plastic scintillator detectors, acrylic objects and simulations using the PHITS Monte Carlo code. By analyzing muon flux after passing through target materials, we compute an empirical model for density estimation. The findings demonstrate the technique's effectiveness in identifying density variations, with potential applications in geophysical exploration and geological studies. This research aims to advance the precision and reliability of muon-based density estimation by validating the density estimation using simulation and experimental approaches.

Original languageBritish English
Pages (from-to)1100-1106
Number of pages7
JournalInternational Exchange and Innovation Conference on Engineering and Sciences
Volume10
DOIs
StatePublished - 2024
Event10th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2024 - Fukuoka, Japan
Duration: 17 Oct 202418 Oct 2024

Keywords

  • Cosmic Rays
  • Density estimation
  • Muography
  • Subsurface imaging

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