A description of the PC version of the Monte Carlo criticality code OMEGA is given. The report contains a general description of the code together with a detailed input description. Furthermore, some examples are given illustrating the generation of an input file. The main field of application is the calculation of the criticality of arrangements of fissionable material. Geometrically complicated arrangements that often appear inside and outside a reactor, e.g. in a fuel storage or transport container, can be considered essentially without geometrical approximations. For example, the real geometry of assemblies containing hexagonal or square lattice structures can be described in full detail. Moreover, the code can be used for special inves...
Monte Carlo neutron transport codes can be used for high-fidelity predictions of the performance of ...
Most modern criticality safety Monte Carlo codes have reached a good level of achievement concerning...
International audienceNuclear criticality safety assessment often requires groupwise Monte Carlo sim...
The object of this report is to show the reliability of OMEGA criticality calculations by a comparis...
With the closure of many experimental facilities, the nuclear criticality safety analyst is increasi...
KENO IV is a multigroup Monte Carlo criticality program written for the IBM 360 computers. It execut...
Over the past two decades, criticality safety analysts have come to rely to a large extent on Monte ...
In this chapter we present our MCNP modeling, concerning fast critical experimental benchmarks, abou...
OMEGA is a CRAY I computer program that controls nine codes used by LLNL Physical Data Group for: 1)...
Accurate and reliable computational methods are essential for nuclear criticality safety analyses. T...
This research presents new code for Monte Carlo N-Particle (MCNP) to achieve an improved time during...
Abstract. Most modern criticality safety Monte Carlo codes have reached a good level of achievement ...
In this work we describe a new method for parallelizing the source iterations in a Monte Carlo criti...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
Traditionally, nuclear data evaluations have been performed in support of the analysis and design of...
Monte Carlo neutron transport codes can be used for high-fidelity predictions of the performance of ...
Most modern criticality safety Monte Carlo codes have reached a good level of achievement concerning...
International audienceNuclear criticality safety assessment often requires groupwise Monte Carlo sim...
The object of this report is to show the reliability of OMEGA criticality calculations by a comparis...
With the closure of many experimental facilities, the nuclear criticality safety analyst is increasi...
KENO IV is a multigroup Monte Carlo criticality program written for the IBM 360 computers. It execut...
Over the past two decades, criticality safety analysts have come to rely to a large extent on Monte ...
In this chapter we present our MCNP modeling, concerning fast critical experimental benchmarks, abou...
OMEGA is a CRAY I computer program that controls nine codes used by LLNL Physical Data Group for: 1)...
Accurate and reliable computational methods are essential for nuclear criticality safety analyses. T...
This research presents new code for Monte Carlo N-Particle (MCNP) to achieve an improved time during...
Abstract. Most modern criticality safety Monte Carlo codes have reached a good level of achievement ...
In this work we describe a new method for parallelizing the source iterations in a Monte Carlo criti...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
Traditionally, nuclear data evaluations have been performed in support of the analysis and design of...
Monte Carlo neutron transport codes can be used for high-fidelity predictions of the performance of ...
Most modern criticality safety Monte Carlo codes have reached a good level of achievement concerning...
International audienceNuclear criticality safety assessment often requires groupwise Monte Carlo sim...