Classification of materials for explosives from prompt gamma spectra by using principal component analysis.
Data from the elemental composition-ratios and experimental prompt gamma spectra of samples were used to develop suitable discriminant classes for suspect samples. The collected data and gamma spectra were applied to principal component analysis (PCA) to discriminate explosives from non-explosive materials.
Im
Hee-Jung
HJ
Nuclear Chemistry Research Division, Korea Atomic Energy Research Institute, 150 Deokjin-dong, Yuseong-gu, Daejeon 305-353, Republic of Korea. imhj@kaeri.re.kr
Song
Byoung Chul
BC
Park
Yong Joon
YJ
Song
Kyuseok
K
D053834:Explosive Agents / Q000145:classification*; D008422:Materials Testing / Q000379:methods; D025341:Principal Component Analysis / Q000379:methods*; D013051:Spectrometry, Gamma / Q000379:methods*
D053834:Explosive Agents