Student Research Projects
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Abstract
This thesis presents an organized explanation and breakdown of the Maximum Likelihood Expectation Maximization image reconstruction algorithm. This background research was used to develop a means of implementing the algorithm into the imaging code for UNH's Field Deployable Imaging Neutron Detector to improve its ability to resolve complex neutron sources. This thesis provides an overview for this implementation scheme, and include the results of a couple of reconstruction tests for the algorithm. A discussion is given on the current state of the algorithm and its integration with the neutron detector system, and suggestions are given for how the work and results of this project could be continued and expanded upon.
Department
Department of Physics
Date of Publication or Presentation
Fall 12-22-2020
Project Type
Undergraduate Research Project
College or School
CEPS
First Advisor
Mark McConnell
Second Advisor
Karl Slifer
Recommended Citation
Jameson, Angus Boyd, "Analysis and Implementation of the Maximum Likelihood Expectation Maximization Algorithm for FIND" (2020). Student Research Projects. 24.
https://scholars.unh.edu/student_research/24
Thesis Presentation Slides
Included in
Applied Statistics Commons, Atomic, Molecular and Optical Physics Commons, Data Science Commons, Nuclear Commons, Probability Commons