SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo 2014
DOI: 10.1051/snamc/201406014
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Capabilities overview of the MORET 5 Monte Carlo code

Abstract: The MORET code is a simulation tool that solves the transport equation for neutrons using the Monte Carlo method. It allows users to model complex three-dimensional geometrical configurations, describe the materials, define their own tallies in order to analyse the results. The MORET code has been initially designed to perform calculations for criticality safety assessments. New features has been introduced in the MORET 5 code to expand its use for reactor applications. This paper presents an overview of the M… Show more

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Cited by 11 publications
(9 citation statements)
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“…The k eff calculations were performed, for the selected benchmarks, with the 5.D.1 beta version of the MORET 5 [11] code, using JEFF-3.2. In addition, k eff calculations were performed using JEFF3.2, together with the new 235 U evaluation.…”
Section: Jeff-32 Librarymentioning
confidence: 99%
See 1 more Smart Citation
“…The k eff calculations were performed, for the selected benchmarks, with the 5.D.1 beta version of the MORET 5 [11] code, using JEFF-3.2. In addition, k eff calculations were performed using JEFF3.2, together with the new 235 U evaluation.…”
Section: Jeff-32 Librarymentioning
confidence: 99%
“…The full JEFF-3.3T1 library was processed with GAIA 1.1 and the k eff calculations were performed for the same benchmark selection with the 5.D.1 beta version of the MORET 5 [11] code. The C/E results obtained using full JEFF-3.3T1 library are shown in Fig.…”
Section: Jeff-33t1 Librarymentioning
confidence: 99%
“…The continuous energy version of the MORET 5.C.1 code [2] is used for the calculations. It employs cross sections processed via the GAIA tool for different evaluations, such as JEFF-3.1.1 and JEFF-3.2.…”
Section: Calculation Codementioning
confidence: 99%
“…Over the last two decades, the need of Monte Carlo (MC) methods and its techniques for modeling complex systems are growing Vaz, 2010;Cochet et al, 2014). Analytical modeling of complex system is tedious and error-prone (Wu and FDS Team, 2009a;Song et al, 2014).…”
Section: Introductionmentioning
confidence: 99%