TY - JOUR
T1 - Methodological Framework for Density Estimation
T2 - 10th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2024
AU - Eleslambouly, Ahmed Khaled
AU - Basiri, Hamid
AU - Ali, Mohammed
AU - Matsushima, Jun
AU - Kodama, Masashi
AU - Yokota, Toshiyuki
AU - Bouchalaa, Fateh
N1 - Publisher Copyright:
© 2024, IEICES/Kyushu University. All rights reserved.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Cosmic Rays
KW - Density estimation
KW - Muography
KW - Subsurface imaging
UR - http://www.scopus.com/inward/record.url?scp=85213320271&partnerID=8YFLogxK
U2 - 10.5109/7323395
DO - 10.5109/7323395
M3 - Conference article
AN - SCOPUS:85213320271
VL - 10
SP - 1100
EP - 1106
JO - International Exchange and Innovation Conference on Engineering and Sciences
JF - International Exchange and Innovation Conference on Engineering and Sciences
Y2 - 17 October 2024 through 18 October 2024
ER -