A cosmic ray muons tomography system with triangular bar plastic scintillator detectors and improved 3d image reconstruction algorithm: A simulation study
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system’s position resolution is below 1 ~ mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm 5 cm 10 cm used our inversion algorithm can be presented below 1 104 effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeological framework.
Abstract
Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system’s position resolution is below 1 ~ mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm 5 cm 10 cm used our inversion algorithm can be presented below 1 104 effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeological framework.
참고문헌 (22)
- E. P. George, "Cosmic rays measure overburden of tunnel", Common Wealth Eng, 455 (1955)
- Luis W. Alvarez, "Search for hidden chambers in the pyramids", Science, 167 (1970)
- H. K. M. Tanaka, "Radiographic measurements of the internal structure of Mt. West Iwate with near-horizontal cosmic-ray muons and future developments", Nucl. Instrum. Method. Phys. Res, 555(1, pp.2) (2005), 164~172
- G. Ambrosi, "The mu-ray project: volcano radiography with cosmic-ray muons", Nucl. Instrum. sin Phys. Res. Sect. Accel. Spectrom. Detect. Equip (2011)
- Konstantin N. Borozdin, "Surveillance : radiographic imaging with cosmic-ray muons", Nature, 422(6929), pp.277~ (2003)
- K. Gnanvo, "Performance expectations for a tomography system using cosmic ray muons and micro pattern gas detectors for the detection of nuclear contraband", 2008 IEEE Nuclear Science Symposium Conference Record, pp.1278~1284 (2008)
- K. Gnanvo, "Detection and imaging of high-z materials with a muon tomography station using gem detectors", IEEE Nuclear Science Symposium Conference Record Nuclear Science Symposium (2011)
- William C. Priedhorsky, "Detection of high-z objects using multiple scattering of cosmic ray muons", Rev. Sci. Instrum, 74(10), pp.4294~4297 (2003)
- J. A. Green, "Optimizing the Tracking Efficiency for Cosmic Ray Muon Tomography" (2006)
- C. L. Morris, "Obtaining material identification with cosmic ray radiography", Aip Adv, 2(4), pp.455~ (2012)
- K. N. Borozdin, "Scattering muon radiography and its application to the detection of high-z materials", Nuclear Science Symposium Conference Record (2003)
- L. J. Schultz, "Image reconstruction and material z discrimination via cosmic ray muon radiography", Nucl. Instrum. Method. Phys. Res, 519(3), pp.687~694 (2004)
- A. Sharma, "Muon tracking and triggering with gaseous detectors and some applications", Nucl. Inst. Method. Phys. Res. A, 666, pp.98~129 (2012)
- "Muon tomography applied to geosciences and volcanology", Nucl. Inst. Method. Phys. Res. A (2012)
- Larry Joe. Schultz, "Cosmic Ray Muon Radiography", PhD, pp.2003
- L. J. Schultz, "Statistical reconstruction for cosmic ray muon tomography", IEEE Transact. Image Process, 16(8), pp.1985~1993 (2007)
- Guobao Wang, "Bayesian image reconstruction for improving detection performance of muon tomography", IEEE Transact. Image Process, 18(5) (2009)
- Guobao Wang, "Statistical image reconstruction for muon tomography using a Gaussian scale mixture model", IEEE Transact. Nucl. Sci, 56(4), pp.2480~2486 (2009)
- S. Agostinelli, "GEANT4da simulation toolkit", Nucl. Instrum. Method. Phys. Res, 506(3), pp.250~ (2003)
- J. Allison, "GEANT4 developments and applications", IEEE Transact. Nucl. Sci, 53 (2006)
- Sefl. Martin, "GEANT4 simulation toolkit", Nucl. Instrum. Method. Phys. Res, 506(3), pp.250~303 (2003)
- J. Beringer, "Particle data group: the review of particle physics", Phys. Rev. D, 86(10001) (2012)
