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Title:Simultaneous fast and slow neutron detection with superheated droplet detector and real-time readout system
Author(s):Liu, Yi
Director of Research:Sullivan, Clair Julia
Doctoral Committee Chair(s):Sullivan, Clair Julia
Doctoral Committee Member(s):d'Errico, Francesco; Stubbins, James F; Meng, Lingjian
Department / Program:Nuclear, Plasma, & Rad Engr
Discipline:Nuclear, Plasma, Radiolgc Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Neutron detection
Superheated droplet detector
Radiation portal monitors
Neutron dosimeter
Neutron spectrometer
Abstract:Alternative slow neutron detection technologies are desired in response to needs by homeland security and radiation safety. Superheated droplet detectors (SDD) have the potential to be used in both situations because they have many distinct characteristics, such as photon insensitivity, passive operation, tissue-equivalent composition, isotropic response, flexible size, and low cost. A neutron detection system based on SDDs is developed in this research for simultaneous detection of fast neutrons and slow neutrons. The detection system is composed of two SDDs and an imaging-readout system. One of the SDDs is doped with 3.4\% $^6$LiCl, and the other one is a regular SDD. In the imaging-readout system of the detection system, machine learning algorithms are developed for accurate bubble counting. The algorithms show a much better accuracy and precision than traditionally used algorithms.
Issue Date:2017-05-05
Type:Thesis
URI:http://hdl.handle.net/2142/98096
Rights Information:Copyright 2017 Yi Liu
Date Available in IDEALS:2017-09-29
Date Deposited:2017-08


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