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Title: Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material

Abstract

This work illustrates a methodology based on photon interrogation and coincidence counting for determining the characteristics of fissile material. The feasibility of the proposed methods was demonstrated using a Monte Carlo code system to simulate the full statistics of the neutron and photon field generated by the photon interrogation of fissile and non-fissile materials. Time correlation functions between detectors were simulated for photon beam-on and photon beam-off operation. In the latter case, the correlation signal is obtained via delayed neutrons from photofission, which induce further fission chains in the nuclear material. An analysis methodology was demonstrated based on features selected from the simulated correlation functions and on the use of artificial neural networks. We show that the methodology can reliably differentiate between highly enriched uranium and plutonium. Furthermore, the mass of the material can be determined with a relative error of about 12%. Keywords: MCNP, MCNP-PoliMi, Artificial neural network, Correlation measurement, Photofission

Authors:
 [1];  [1];  [2];  [1]
  1. ORNL
  2. Nuclear Engineering Department Politecnico di Milano, Milan, Italy
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
966077
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: PHYSOR, Vancouver, Canada, 20060910, 20060914
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; CHAINS; CORRELATION FUNCTIONS; DELAYED NEUTRONS; FISSILE MATERIALS; FISSION; HIGHLY ENRICHED URANIUM; NEURAL NETWORKS; NEUTRONS; PHOTOFISSION; PHOTONS; PLUTONIUM; SIMULATION; STATISTICS

Citation Formats

Pozzi, Sara A, Downar, Thomas J, Padovani, Enrico, and Clarke, Shaun D. Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material. United States: N. p., 2006. Web.
Pozzi, Sara A, Downar, Thomas J, Padovani, Enrico, & Clarke, Shaun D. Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material. United States.
Pozzi, Sara A, Downar, Thomas J, Padovani, Enrico, and Clarke, Shaun D. Sun . "Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material". United States. doi:.
@article{osti_966077,
title = {Monte Carlo Modeling of Photon Interrogation Methods for Characterization of Special Nuclear Material},
author = {Pozzi, Sara A and Downar, Thomas J and Padovani, Enrico and Clarke, Shaun D},
abstractNote = {This work illustrates a methodology based on photon interrogation and coincidence counting for determining the characteristics of fissile material. The feasibility of the proposed methods was demonstrated using a Monte Carlo code system to simulate the full statistics of the neutron and photon field generated by the photon interrogation of fissile and non-fissile materials. Time correlation functions between detectors were simulated for photon beam-on and photon beam-off operation. In the latter case, the correlation signal is obtained via delayed neutrons from photofission, which induce further fission chains in the nuclear material. An analysis methodology was demonstrated based on features selected from the simulated correlation functions and on the use of artificial neural networks. We show that the methodology can reliably differentiate between highly enriched uranium and plutonium. Furthermore, the mass of the material can be determined with a relative error of about 12%. Keywords: MCNP, MCNP-PoliMi, Artificial neural network, Correlation measurement, Photofission},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2006},
month = {Sun Jan 01 00:00:00 EST 2006}
}

Conference:
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