Date of this Version
S. Murray, CMOS Radioactive Isotope Identification with Multichannel Analyzer and Embedded Neural Network. Master's thesis, Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, 2018.
A radiation detection and identification system is designed and implemented to perform gamma ray spectroscopy on radioactive sources and identify which isotopes are present in the sources. A multichannel analyzer is implemented on an ASIC to process the signal produced from gamma rays detected by a scintillator and photomultiplier tube and to quantize the gamma ray energies to build a histogram. A fast, low memory embedded neural network is implemented on a microcontroller ASIC to identify the isotopes present in the gamma ray histogram produced by the multichannel analyzer in real time.
Advisors: Sina Balkir and Michael Hoffman
Computer Engineering Commons, Electrical and Electronics Commons, Other Electrical and Computer Engineering Commons, Systems and Communications Commons, VLSI and Circuits, Embedded and Hardware Systems Commons