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 language | British English |
|---|---|
| Pages (from-to) | 1100-1106 |
| Number of pages | 7 |
| Journal | International Exchange and Innovation Conference on Engineering and Sciences |
| Volume | 10 |
| DOIs | |
| State | Published - 2024 |
| Event | 10th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2024 - Fukuoka, Japan Duration: 17 Oct 2024 → 18 Oct 2024 |
Keywords
- Cosmic Rays
- Density estimation
- Muography
- Subsurface imaging
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