creators_name: Lam, Y. W., creators_name: Wong, C. S., creators_name: Ratnavelu, K., type: article datestamp: 2007-11-03 16:54:46 lastmod: 2008-10-31 07:19:42 metadata_visibility: show corp_creators: University of Malaya. Faculty of Science. Dept. of Physics. Plasma Research Laboratory. corp_creators: University of Malaya. Institute of Mahematical Sciences. title: Monte Carlo Computational Simulation of Neutron Activation of Materials ispublished: pub subjects: Q full_text_status: none keywords: Monte Carlo Simulation, neutron activation, physics note: Y. W. Lam would like to express his gratitude to Universiti Malaya for a Pascasiswazah award to undertake his M.Sc. abstract: A Monte Carlo computational simulation technique is implemented in GEANT4 object-oriented architecture with ENDF/B VI cross section data. It is used to describe the attenuation and activation of neutron with various materials (lead, aluminium, lithium and ethanol). The neutron inelastic, elastic and capture processes will be considered in the simulation. The simulated cross sections are compared with the Breit-Wigner distribution, which is used in ENDF/B VI and gamma (γ) energy spectrum of materials will be cumulated as the basic data for material identification. date: 2003-12 date_type: published publication: Jurnal Fizik Malaysia volume: 24 number: 3 & 4 publisher: Malaysian Institute of Physics (IFM) pagerange: 145-149 refereed: TRUE issn: 0128-0333 official_url: http://eprints.ictp.it/204/ referencetext: [1] J. Tickner, “Determination of the spatial response of neutron based analysers using a Monte Carlo based method”, Appl. Radiat. Isot., 53, 507-513(2000). [2] P.M. Shea, T. Gozani and M. Bozorgmanesh, “ATNA explosive detection system in airline baggage”, Nucl. Instrum. Methods A, 299, 444-448 (1990). [3] E.M.A. Hussein and E.J.Walker, “Review of oneside approaches to radiographic imaging for detection of explosives and narcotics”, Radiat. Meas., 29(6), 581-591 (1998). [4] N.M. Spyrou, “Neutron activation analysis challenges problems and applications in biomedical and other areas”, J. Radioanal. Nucl. Chem., 239(1), 59-70 (1999). [5] Chen C.Y., “Optical conditions for identifying ⁸⁰Brand ¹²⁸I in health food angelica keiskei using rapid epithermal neutron activation analysis”, Appl. Radiat. Isot., 58, 423-429 (2003). [6] G. Vourvopoulos and P.C. Womble, “Pulsed fast/thermal neutron analysis: A technique for explosives detection”, TALANTA, 54, 459-468 (2001); G. Eiceman, Elsevier (2001). [7] J.C. Overlay, “Determination of H, C, N, O content of bulk materials from neutron attenuation measurements”, The Int. J. Appl. Radiat. Isot.,36(3), 185-191 (1985). [8] K. Binder (ed.), Application of Monte Carlo Method in Statistical Physics, Topics Curr. Phys., Vol. 7, 2nd edn., Springer, Berlin, Heidelberg (1986). [9] M. Sohrabpour, M. Shahriari, V. Zarifian and K.K. Moghadam, “Borehole prompt gamma neutron activation and comparison with Monte Carlo simulation using MCNP code Borehole PGNAA experiment comparison with MCNP”, Appl. Radiat. Isot., 50(4), 805-810 (1999). [10] W.V. Nunes, A.X. da Silva, V.R. Crispim and R. Schirru, “Explosives detection using promptgamma neutron activation and neural networks”, Appl. Radiat. Isot., 56 (6), 937-943 (2002). citation: Lam, Y. W., and Wong, C. S., and Ratnavelu, K., (2003) Monte Carlo Computational Simulation of Neutron Activation of Materials. Jurnal Fizik Malaysia, 24 (3 & 4). pp. 145-149. ISSN 0128-0333