title: Classification of materials for explosives from prompt gamma spectra by using principal component analysis.
abstract: 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.
authors.affiliation: Nuclear Chemistry Research Division, Korea Atomic Energy Research Institute, 150 Deokjin-dong, Yuseong-gu, Daejeon 305-353, Republic of Korea. imhj@kaeri.re.kr
authors.forename: Hee-Jung
authors.initials: HJ
authors.lastname: Im
authors.forename: Byoung Chul
authors.initials: BC
authors.lastname: Song
authors.forename: Yong Joon
authors.initials: YJ
authors.lastname: Park
authors.forename: Kyuseok
authors.initials: K
authors.lastname: Song
mesh_terms: D053834:Explosive Agents / Q000145:classification*; D008422:Materials Testing / Q000379:methods; D025341:Principal Component Analysis / Q000379:methods*; D013051:Spectrometry, Gamma / Q000379:methods*
chemical_list: D053834:Explosive Agents