Development of a prototype portable muography detector for exploration of underground cavities

Chaiwongkhot, Kullapha; Kin, Tadahiro; Ohno, Hiroaki; Kondo, Kazuhiro; Sato, Hiroki; Watanabe, Yukinobu

doi:10.1109/nssmic.2016.8069889

Cited by 1 publication

(3 citation statements)

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“…The thickness can be estimated simply from the number of sampling point counts multiplied by the step size, dr. Since the precise geometry of the detector is applied, the data analysis is exactly the same procedure as that used in the actual measurement projection [5]. However, instead of the attenuation rate evaluation, the average thickness obtained from simulated muon events as a function of its direction is calculated.…”

Section: Thickness Project Simulationmentioning

confidence: 99%

“…A multi-purpose portable muography detector was developed for real-time monitoring of the degradation of infrastructures [5,6]. We used the detector with adjusted 8 msr angular resolution for the muography of a seven-stories concrete building [5] and succeeded in the mapping of the rough inner structure of the building. The obtained two-dimension (2D) projection basically shows the variance in density integrated along the transmission path of muons, and the spatial distribution along the path cannot be estimated.…”

Section: Introductionmentioning

confidence: 99%

“…The feasibility is demonstrated by simulation for a simple experimental configuration. We have developed a multi-purpose portable muography detector [5,6]. The detector consists of two muon position sensitive detectors (mu-PSDs).…”

Section: Introductionmentioning

confidence: 99%

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A Feaibility Study of 3D Cosmic-Ray Muon Tomography with a Portable Muography Detector

Chaiwongkhot

Kin

Sasaki

et al. 2019

Proceedings of the Second International Symposium on Radiation Detectors and Their Uses (ISRD2018)

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The Maximum Likelihood-Expectation Maximization (ML-EM) method was applied to 3D image reconstruction of cosmic-ray muon tomography. The feasibility was examined by using Monte Carlo simulation for a simple configuration where two lead blocks were placed at a different height from a muography detector. The 2D projection of the average thickness of the blocks as a function of the muon direction was simulated for multiple detection positions. The 3D image of the density profile was reconstructed by applying the ML-EM method to the simulated projections. It was found that the image reproduces reasonably well the position of the two blocks. The effect of the limited number of detection positions and the number of iteration in the ML-EM method on the image reconstruction was investigated in detail.

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Section: Thickness Project Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%