for detecting the diversion of fuel elements from spent nuclear fuel (SNF) assemblies. For the passive detection problems, ADVANTG obtains an O(10Cf Interrogation with Prompt Neutron (CIPN) detection system proposed by Hu et al. We also present results for two passive detection problems in which a cargo container holding a shielded neutron or gamma source is placed near a portal monitor. We present numerical results for an 'active-interrogation' problem in which a standard cargo container is irradiated by a deuterium-tritium fusion neutron generator. In this paper, we describe the application of ADVANTG to a set of threat-detection simulations. The ADVANTG code has been developed to automate the generation of weight-window more ยป parameters for MCNP using the Consistent Adjoint Driven Importance Sampling method and employs the TORT or Denovo 3-D discrete ordinates codes to generate importance maps. For these problems, automated hybrid methods offer an efficient alternative to trial-and-error variance reduction techniques (e.g., geometry splitting or the stochastic weight window generator). An active source of new applications is the field of homeland security-particularly the detection of nuclear material threats. As the use of this hybrid computational technique is becoming more widespread, the scope of applications in which it is being applied is expanding. Deterministic transport codes have been used for some time to generate weight-window parameters that can improve the efficiency of Monte Carlo simulations.
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