Abstract
MCBEND 11 is the latest version of the general radiation transport Monte Carlo code from AMEC Foster Wheeler’s ANSWERS® Software Service. MCBEND is well established in the UK shielding community for radiation shielding and dosimetry assessments. MCBEND supports a number of acceleration techniques, for example the use of an importance map in conjunction with Splitting/Russian Roulette. MCBEND has a well established automated tool to generate this importance map, commonly referred to as the MAGIC module using a diffusion adjoint solution. This method is fully integrated with the MCBEND geometry and material specification, and can easily be run as part of a normal MCBEND calculation. An often overlooked feature of MCBEND is the ability to use this method for forward scoping calculations, which can be run as a very quick deterministic method. Additionally, the development of the Visual Workshop environment for results display provides new capabilities for the use of the forward calculation as a productivity tool. In this paper, we illustrate the use of the combination of the old and new in order to provide an enhanced analysis capability. We also explore the use of more advanced deterministic methods for scoping calculations used in conjunction with MCBEND, with a view to providing a suite of methods to accompany the main Monte Carlo solver.
Highlights
MCBEND 11 [1] is the latest version of the general radiation transport Monte Carlo code from AMEC Foster Wheeler’s ANSWERS® Software Service
MCBEND is well established in the UK shielding community for radiation shielding and dosimetry assessments
The second route we explore is an evolution of the way a tetrahedral based geometry description can be utilised in MCBEND
Summary
MCBEND 11 [1] is the latest version of the general radiation transport Monte Carlo code from AMEC Foster Wheeler’s ANSWERS® Software Service. This feature was developed as a method for representing CAD models in MCBEND, but it has been extended to provide a toolkit to switch between a modern, fully featured, deterministic methodology based on a tetrahedral mesh, and the MCBEND Monte Carlo method. This is illustrated by use with the FETCH2 code developed at Imperial College, London [2]
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