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A GEANT4 Simulation Studies on Estimating the Efficiency of 10B-Based Stacked Semiconductor Neutron Detector

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1053))

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Abstract

The present work focuses on Monte Carlo-based GEANT4 simulation for estimating the efficiency of thermal neutron detection for stacked semiconductor neutron detector configuration with enriched B10 as neutron converter material. The simulation revealed that the efficiency of stacked detector configuration is ~56.93% for 90 stacks, which is significantly much higher than its planar configuration counterpart. The low-level discriminator value for background gamma radiation rejection was fixed at a value of 300 keV in the simulation.

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Acknowledgements

One of the author Manoj Kumar Parida would like to sincerely thank Dr. K. Prabakar for his fruitful suggestions and comments. Manoj Kumar Parida would also like to thank and acknowledge Dr. Shivang Tripathi and Dr. G. Prasanna for their fruitful and constructive suggestions. The authors would also like to thank Department of Atomic Energy and KIIT University for their support and encouragement.

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Correspondence to Manoj Kumar Parida .

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Parida, M.K., Jha, V.K., Tripura Sundari, S. (2020). A GEANT4 Simulation Studies on Estimating the Efficiency of 10B-Based Stacked Semiconductor Neutron Detector. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_42

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