2 research outputs found
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Silicon Photomultiplier Modeling of CsI(Tl) with Front End Electronics using a Monte Carlo Model
Silicon photomultipliers (SiPM) have become increasingly popular in radiation detection design due to smaller profiles, lower operating voltage, and magnetic insensitivity. However, there are nonlinear effects that make modeling SiPM challenging. This study looks at using a Monte Carlo approach to modeling the output of an SiPM and front end electronics for a slow scintillation pulse (CsI(Tl)) and then verifying the results with measurements. The SiPM circuit and front-end electronics were designed in LT Spice for the simulation. In order to define the current source within the SiPM model, a python script was written using a Monte Carlo approach simulating microcells firing throughout the scintillation process. Measurements were taken from a physical circuit and compared. It was found that the rising edge agreed well with measurements. However, the falling edge showed an over-estimate on the SiPM output and an underestimate on the amplifier output. The SiPM output amplitude was likely due to a difference in the simulated light yield and actual light yield from the scintillation crystal. The difference in the falling edge was likely due to errors in the modeling of the CsI(Tl) scintillation decay. Overall this model produced a good estimate for the output from front end electronics
Progress in the Verification and Validation Efforts for START: A Spent Fuel Routing Tool
The US Department of Energys Office of Nuclear Energy is planning for an
integrated waste management approach to transport, store, and eventually
dispose of spent nuclear fuel and other high-level radioactive waste as part of
the Integrated Waste Management program. In support of this effort, the
Stakeholder Tool for Assessing Radioactive Transportation is being developed
within the IWM program. This is a web-based decision support tool that can be
used to analyze geospatial data related to the transportation of SNF and HLW.Comment: Presented at the '2023 ANS Winter Conference and Expo