Photopeak detection and quantification using wavelet analysis

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Nuclear, Plasma, Radiolgc Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Lu, Jie

Contributors dc:contributor

• Sullivan, Clair Julia

• Wavelet Analysis
• Non-negative Least Square
• Linear Regression
• Nuclear Spectrum

Statement dc:rights

• Copyright 2013 Jie Lu

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/46778

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/46778