Maximum-a-Posteriori Cosmic Ray Muon Trajectory Estimation with Energy Loss for Muon Tomography Applications

被引：0
|
作者：
Chatzidakis, Stylianos [1 ]
Liu, Zhengzhi [2 ]
Jarrell, Joshua J. [3 ]
Scaglione, John M. [3 ]
Hayward, Jason P. [2 ]
机构：
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Univ Tennessee, Knoxville, TN 37996 USA
[3] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
来源：
2017 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) | 2017年
关键词：
muon path; GEANT4; multiple Coulomb scattering; SPENT NUCLEAR-FUEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recent cosmic ray muon tomography applications use detectors that measure position and direction of the individual muons before and after traversing the imaged object. However, muon reconstruction techniques are limited in resolution due to low muon flux and the effects of a single Coulomb scattering assumption. In the present work, the use of a Bayesian framework and a Gaussian approximation of multiple Coulomb scattering (MCS) is explored for maximum-a-posteriori estimation of the most likely path of a cosmic ray muon traversing a uniform and nonuniform medium and undergoing MCS. Results were generated using a validated Geant4 workspace. The algorithm is expected to he able to predict muon tracks with improved accuracy and to increase the useful muon flux by 30% over a traditional point-of-closest-approach (PoCA) method. The effect of energy loss due to ionization is investigated, and an energy loss relation is derived and validated.
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页数：2
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