Photopeak detection and quantification using wavelet analysis
Lu, Jie
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https://hdl.handle.net/2142/46778
Description
Title
Photopeak detection and quantification using wavelet analysis
Author(s)
Lu, Jie
Issue Date
2014-01-16T18:02:14Z
Director of Research (if dissertation) or Advisor (if thesis)
Sullivan, Clair Julia
Department of Study
Nuclear, Plasma, & Rad Engr
Discipline
Nuclear, Plasma, Radiolgc Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Wavelet Analysis
Non-negative Least Square
Linear Regression
Nuclear Spectrum
Abstract
Automated isotope identi cation has long been an important problem in
homeland security and nuclear emergency response. This process is di cult
for low-resolution spectra because of the presence of the Compton contin-
uum, electronics noise, and peak overlap. The wavelet transform stands
out among many potential solutions of this problem, owing to its ability to
de-noise noisy signals, pattern matching, and simultaneous multi-resolution
signal analysis. In this thesis, a novel wavelet-based algorithm for detecting
peaks and measuring their areas is introduced. Its abilities in locating peaks,
resolving overlapping peaks, and determining peak areas are presented and
assessed with both simulated signals and real gamma-ray spectra. Peak area
uncertainty was explored and future work and directions were discussed at
the end.
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