Noise reduction in the prompt gamma spectroscopy by a principal component analysis

ANYL 45

Hee-Jung Im, imhj@kaeri.re.kr, Byoung Chul Song, Yong-Joon Park, and Won Ho Kim. Nuclear Chemistry Research Division, Korea Atomic Energy Research Institute, 150 Deokjin-dong, Yuseong-gu, Daejeon, 305-353, South Korea
A high flux, good scintillator or effective noise reduction is necessary for a better detection of neutron or gamma rays. We applied the principal component analysis (PCA) method to treat the gamma spectra obtained from a research reactor at the Korea Atomic Energy Research Institute (KAERI) for an effective noise reduction. After the noise reduction by the PCA, the relevant information was preserved in a singular value decomposition model while discarding much of the noise. The result of the PCA makes it possible to detect explosives in a very short time (within 20 seconds).
 

General Papers
7:00 PM-9:00 PM, Sunday, 10 September 2006 Moscone Center -- Hall D, Poster

Division of Analytical Chemistry

The 232nd ACS National Meeting, San Francisco, CA, September 10-14, 2006