Accurate in situ rock density measurement with cosmic ray muon radiography

Author:

Pang Jie1ORCID,Li Zhiwei2ORCID,Dong Shuning3,Li Jingtai2,Mao Xin2,Ding Hao4ORCID,Wang Hao3,Guo Xiaoming3,Liu Lei3,Zhang Jianming1,Feng Xinzhou1,Liu Bin1,Ouyang Xiaoping1ORCID,Han Ran1

Affiliation:

1. School of Nuclear Science & Engineering, North China Electric Power University 1 , Beijing 102206, China

2. Beijing Institute of Spacecraft Environment Engineering 2 , 104 You Yi Road, Beijing 100094, China

3. China Coal Technology & Engineering Group Corp, Xian Research Institute 3 , Xian 70054, Shaanxi, People’s Republic of China

4. Department of Engineering Physics, Tsinghua University 4 , Beijing 100084, China

Abstract

Muon radiography, which relies on measuring the absorption and attenuation of muons as they pass through matters, offers a new imaging technique capable of revealing the internal structure of large objects. Recent technological advancement allows for the application or testing of muon radiography in various fields, including mining, civil engineering, security check, etc. This study investigates the factors that influence muon radiography, which is used in density inversion, through simulations and experiments. The materials considered for density inversion include water, standard rock, and iron. Our simulation studies show that the number of events detected and selected has an impact on the reconstruction results, and several factors, such as multiple Coulomb scattering processes, recording time, and spatial resolution, which influence the number of muons, must be taken into account when measuring the rock density. We design and conduct a laboratory scale experiment based on the simulation results. We filter the 220 h of recording signals through time coincidence and straight-line fitting to obtain the selected events. Our results reveal that the statistical error of muons survival ratio in recording time significantly impacts the inversion result and decreases the error can improve accuracy greatly. In the experiment, the deviation between the inversion mean value and the expected value can be reduced to 2.4%–2.9% for iron, 7% for water, and 1.5% for standard rock. This density inversion approach provides insight into future density detection of underground structures.

Funder

Xi'an Research Institute, China Coal Technology Engineering Group

National Natural Science Foundation of China

Publisher

AIP Publishing

Reference40 articles.

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4. Imaging internal density structure of the Laoheishan volcanic cone with cosmic ray muon radiography;Nucl. Sci. Tech.,2022

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