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Monte Carlo code

Leakage-corrected fast reactor assembly calculation with Monte-Carlo code TRIPOLI4r and its validation methodology

Leakage-corrected fast reactor assembly calculation with Monte-Carlo code TRIPOLI4r and its validation methodology

... continuous-energy Monte Carlo code TRIPOLI4 r ...point-wise Monte Carlo simulation and a B1 Homogeneous Equations solver till reaching a final critical state in Monte ...

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Variance Reduction and Graphic Features of TRIPOLI-4 Monte Carlo- Code for ITER Neutronics Calculations

Variance Reduction and Graphic Features of TRIPOLI-4 Monte Carlo- Code for ITER Neutronics Calculations

... Keywords: ITER, neutronics, TRIPOLI-4 ® Monte Carlo code, Variance reduction, Display tool 1. Introduction The International Thermonuclear Experimental Reactor (ITER) is currently under construction ...

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Modeling the consequences of fuel assembly bowing on PWR core neutronics using a Monte-Carlo code

Modeling the consequences of fuel assembly bowing on PWR core neutronics using a Monte-Carlo code

... a b s t r a c t The effect of assemblies bowing in PWR nuclear reactors onto core neutronics is an observed phe- nomenon still poorly understood which can lead to Power Ratio Tilt. Studies of the consequences of ...

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The new neutron noise solver of the Monte Carlo code Tripoli-4

The new neutron noise solver of the Monte Carlo code Tripoli-4

... new Monte Carlo algorithm was proposed in order to solve the transport equation in neutron noise theory with complex-valued weights and a modified collision ...reference Monte Carlo ...

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Contribution à l'amélioration des méthodes d'évaluation de l'échauffement nucléaire dans les réacteurs nucléaires à l'aide du code Monte-Carlo TRIPOLI-4®

Contribution à l'amélioration des méthodes d'évaluation de l'échauffement nucléaire dans les réacteurs nucléaires à l'aide du code Monte-Carlo TRIPOLI-4®

... by Monte-Carlo simulation requires coupled neutron-photon calculation so as to take into account the contribution of secondary ...TRIPOLI-4 Monte-Carlo code, developed by CEA (Saclay ...

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Monte Carlo method and sensitivity estimations

Monte Carlo method and sensitivity estimations

... interest because of its ability to deal with complex geometries and=or complex spectral properties [10,11]. To our knowledge, the question of computing corresponding parametric sensitivities has not yet been addressed. ...

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Accélération de la convergence dans le code de transport de particules Monte-Carlo TRIPOLI-4® en criticité

Accélération de la convergence dans le code de transport de particules Monte-Carlo TRIPOLI-4® en criticité

... de Monte-Carlo qui est faite dans la référence [ Ba13 ...type Monte Carlo permet de simuler la  réal- ité  à l'échelle microscopique pour remonter aux grandeurs macroscopiques : les neutrons ...

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Effect of Statistical Noise on Simulation Results with a Plasma Fluid Code Coupled to a Monte Carlo Kinetic Neutral Code

Effect of Statistical Noise on Simulation Results with a Plasma Fluid Code Coupled to a Monte Carlo Kinetic Neutral Code

... Effect of Statistical Noise on Simulation Results with a Plasma Fluid Code Coupled to a Monte Carlo Kinetic Neutral Code.. HAL is a multi-disciplinary open access archive for the deposit[r] ...

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Monte Carlo Methods in Statistics

Monte Carlo Methods in Statistics

... produced according to a distribution density f , all standard statistical tools, including bootstrap, apply to this sample (with the further appeal that more data points can be produced if deemed necessary). As ...

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Quelques contributions sur les méthodes de Monte Carlo

Quelques contributions sur les méthodes de Monte Carlo

... Dans notre deuxième essai nous proposons plusieurs méthodes de réduction de variance pour l’algorithme de Metropolis Indépendant.. Avant une description plus détaillée du contenu des ess[r] ...

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Addressing nonlinearities in Monte Carlo

Addressing nonlinearities in Monte Carlo

... technique” 11 . We are aware of only one attempt so far to bypass this failing: the recent proposal by the applied mathematics community 1,12–14 to use branching processes 15 to solve Fredholm-type integral equations ...

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Monte Carlo Methods and stochastic approximations

Monte Carlo Methods and stochastic approximations

... binant notre m ethode avec une m ethode de r eduction de variance standard, le taux de r eduction obtenu peut ^ etre tr es grand. On peut en n observer que cette m ethode r eduit le plus souvent la variance de ...

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Line-sampling-based Monte Carlo method

Line-sampling-based Monte Carlo method

... GEM code for Monte Carlo neutronics calculations in reactors and other systems of complex geometry Proceedings of the Conference on Applications of Computing Methods to Reactor Problems [2] Skullerud ...

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Monte Carlo with Determinantal Point Processes

Monte Carlo with Determinantal Point Processes

... 1/N and nodes (x i ) to be the realization of a Markov chain with stationary distribution µ, such as the Metropolis-Hastings chain. Under general conditions on the Markov chain and for f in L 1 of an appropriate measure ...

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Stochastic Quasi-Newton Langevin Monte Carlo

Stochastic Quasi-Newton Langevin Monte Carlo

... 1: LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, Paris, France 2: Department of Computer Engineering, Bo˘gaziçi University, 34342, Bebek, ˙Istanbul, Turkey Abstract Recently, Stochastic Gradient Markov ...

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Variance Analysis for Monte Carlo Integration

Variance Analysis for Monte Carlo Integration

... perform Monte Carlo integration—instead of using optimal adaptive quadra- ture rules—on the spherical and hemispherical domains despite their low dimensional ...are Monte Carlo based, our ...

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Comment on "Sequential Quasi-Monte Carlo Sampling"

Comment on "Sequential Quasi-Monte Carlo Sampling"

... Comment on “Sequential Quasi-Monte Carlo Sampling” Pierre L’Ecuyer DIRO, Universit ´e de Montr ´eal, Canada Gerber and Chopin combine SMC with RQMC to accelerate convergence. They apply RQMC as in the ...

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Monte-Carlo and Domain-Deformation Sensitivities

Monte-Carlo and Domain-Deformation Sensitivities

... k e = 0.5. Estimations of the absorbed radiative intensity density and its sensitivity are obtained for 2.10 6 realizations N of the corresponding Monte-Carlo weight function. Figure 4 displays the results ...

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Étude des artefacts en tomodensitométrie par simulation Monte Carlo

Étude des artefacts en tomodensitométrie par simulation Monte Carlo

... CHAPITRE 2 INTERACTIONS DES PHOTONS AVEC LA MATIÈRE En imagerie médicale, on peut utiliser une source de rayons X ou de rayons gamma pour produire des images. La variation des tons de gris sur ces images dépend de la ...

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Utilisation de la recherche arborescente Monte-Carlo au Hex

Utilisation de la recherche arborescente Monte-Carlo au Hex

... algorithme Monte-Carlo, l’algorithme Monte- Carlo utilisant les simulations aléatoires de B gagnait largement contre l’algorithme utilisant les simulations aléatoires de ...de ...

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