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Haut PDF Correlations in the Monte Carlo Glauber model

Haut PDF Correlations in the Monte Carlo Glauber model ont été compilés par 123dok FR

Correlations in the Monte Carlo Glauber model

Correlations in the Monte Carlo Glauber model

... of correlations studied in this paper — namely, the autocorrelation, nuclear correlations, and the twin correlations — involve scales much shorter than the nuclear ... Voir le document complet

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Using Monte Carlo ray tracing simulations to model the quantum harmonic oscillator modes observed in uranium nitride

Using Monte Carlo ray tracing simulations to model the quantum harmonic oscillator modes observed in uranium nitride

... used Monte Carlo ray tracing simulations with a variety of sample kernels to accurately model the total scattering response observed in a single crystal of uranium nitride on the ... Voir le document complet

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Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis.

Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis.

... On the other hand, the duality of the prior distribution and the fixed regional shape parameter allows the proposed estimator to be at least as efficient as the index flood model.. Thus [r] ... Voir le document complet

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Validation of the Small Animal Biospace Gamma Imager Model Using GATE Monte Carlo Simulations on the Grid

Validation of the Small Animal Biospace Gamma Imager Model Using GATE Monte Carlo Simulations on the Grid

... patients. In consequence, we can find many dedicated small field of view scanners for SPECT (Single Photon Emission Tomography) [2, 3] and PET (Positron Emission Tomography) [4] which have been designed in ... Voir le document complet

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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

... is the design of neural gen- erative models able to output a predictive distribution instead of single ...provide the desired uncertainty measures over the model pre- ...exploration in ... Voir le document complet

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Population Monte Carlo

Population Monte Carlo

... shown in this paper. The population Monte Carlo principle we describe here consists of iterated generations of importance samples, with importance functions depending on the previously ... Voir le document complet

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Monte Carlo Method Applied to the ABV Model of an Interconnect Alloy

Monte Carlo Method Applied to the ABV Model of an Interconnect Alloy

... increase in size and get ...at the borders of the vacancy ...on the distribution of the vacancy ...account in the algorithm to mimic the trapping of heat by ... Voir le document complet

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Molecular mobility with respect to accessible volume in Monte Carlo lattice model for polymers

Molecular mobility with respect to accessible volume in Monte Carlo lattice model for polymers

... 5: Monte Carlo simulation algorithm from 10 5 to 10 8 steps for ratios of locked sites ranging from 0 (every site of the lattice that is not occupied by the polymer is accessible) to ...of ... Voir le document complet

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Extension of the GATE Monte-Carlo simulation package to model bioluminescence and fluorescence imaging

Extension of the GATE Monte-Carlo simulation package to model bioluminescence and fluorescence imaging

... role in medical imaging techniques involving radiations [positron emission tomography (PET), single photon emission computed tomography (SPECT), and computed tomography ...optimize the acquisi- tion and ... Voir le document complet

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Parallel Nested Monte-Carlo search

Parallel Nested Monte-Carlo search

... disjoint model. All the time results are a mean over multiple runs of each algorithm, except for results in parenthesis which were run only ...once. The standard deviation is given between ... Voir le document complet

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Contributions to Monte Carlo Search

Contributions to Monte Carlo Search

... interesting in contrast to classic search algorithms is that it does not rely on the knowledge of the problem ...is the best possible move to execute were mostly relying on an objective ... Voir le document complet

149

Improving Cloud Simulation using the Monte-Carlo Method

Improving Cloud Simulation using the Monte-Carlo Method

... description. The available cloud DESs can be divided in two categories. In the first category are the simulators dedicated to study the clouds from the provider ... Voir le document complet

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Optimized Population Monte Carlo

Optimized Population Monte Carlo

... about the target for the adaptation of the location parame- ters, yielding to optimization-based adaptation ...example, the GAPIS algorithm [18] is an AIS method that exploits the ... Voir le document complet

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Clock Monte Carlo methods

Clock Monte Carlo methods

... consider the 2D and 3D Heisenberg models with oscillatory Ruderman- Kittel-Kasuya-Yosida (RKKY) interactions J ij = J 0 (cos(2k F r ij )/r d ij ) exp(−r ij /λ), where d is the spatial dimension, k F is ... Voir le document complet

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Validation of a Monte Carlo prediction model for portal images using PENELOPE

Validation of a Monte Carlo prediction model for portal images using PENELOPE

... essential in order to ensure that the dose planned by the treatment planning system (TPS) is delivered as accurately as possible and to detect possible ...consists in comparing predicted dose ... Voir le document complet

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Analysis of correlations and their impact on convergence rates in Monte Carlo eigenvalue simulations

Analysis of correlations and their impact on convergence rates in Monte Carlo eigenvalue simulations

... of the generation-to-generation correlations as observed when solving full core eigenvalue problems on PWR ...have in the past looked at the impact of these correlations on ... Voir le document complet

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Monte Carlo Methods in Statistics

Monte Carlo Methods in Statistics

... with the Bayes factors—, and optimisation difficulties with the likelihood perspective, this clas- sification is by no way tight—as for instance when likelihoods involve unmanageable integrals—and all ... Voir le document complet

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Correlations in Monte Carlo eigenvalue simulations : uncertainty quantification, prediction and reduction

Correlations in Monte Carlo eigenvalue simulations : uncertainty quantification, prediction and reduction

... explain the particular features of the variance convergence rates observed ...starting the active generations of the ...to the underestimated variance but also provides an estimate on ... Voir le document complet

327

Monte Carlo power iteration: Entropy and spatial correlations

Monte Carlo power iteration: Entropy and spatial correlations

... reactor. The behaviour of the measured Shannon entropy S(g) during Monte Carlo power it- eration as a function of generations g, for different initial popu- lation sizes N and fixed L = 400 ... Voir le document complet

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Addressing nonlinearities in Monte Carlo

Addressing nonlinearities in Monte Carlo

... 1,2 Monte Carlo is famous for accepting model extensions and model refinements up to infinite ...increasing the configuration space dimension. Considering phytoplankton growth in ... Voir le document complet

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