Variance reduction for collimated gamma detector geometry in Serpent

No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
School of Science | S harjoitus- ja seminaarityöt
Date
2022
Major/Subject
Mcode
Degree programme
Language
en
Pages
29
Series
PHYS-E0441 - Physics Special Assignment V
Abstract
The potential of modeling the photon transport in passive gamma emission tomography (PGET) with Serpent is restricted by the computational demand of the simulation using conventional particle tracking routines. However, the analog tracking process can be altered to improve the computational efficiency of the Monte Carlo simulation. In this thesis, a variance reduction scheme utilizing splitting and modified direction sampling is developed and implemented in Serpent. The implementation is verified in a simple test geometry and the method is demonstrated in a PGET gamma-radiation transport. As a result, a factor of 13 or greater improvement was successfully obtained compared to the analog simulation. On the contrary, further development would be required to provide a user interface for input parameter adjustments needed for any generalizations of the method.
Description
Keywords
variance reduction, passive gamma emission tomography, Serpent
Other note
Citation