Calculation of reactor kinetics parameters with Monte Carlo differential operator sampling

2015 ◽  
Vol 82 ◽  
pp. 226-229 ◽  
Author(s):  
Yasunobu Nagaya
Keyword(s):  
Monte Carlo ◽  
Differential Operator ◽  
Kinetics Parameters ◽  
Reactor Kinetics

Calculation of adjoint-weighted reactor kinetics parameters in OpenMC

2019 ◽  
Vol 128 ◽  
pp. 231-235 ◽  
Author(s):  
Xingjie Peng ◽  
Jingang Liang ◽  
Benoit Forget ◽  
Kord Smith
Keyword(s):  
Kinetics Parameters ◽  
Reactor Kinetics

Research on Monte Carlo Perturbation Calculation Methods Applied in Reactor Physics

2009 ◽  
Author(s):  
Ze-guang Li ◽  
Kan Wang ◽  
Gang-lin Yu
Keyword(s):  
Monte Carlo ◽  
Differential Operator ◽  
Sampling Method ◽  
Perturbation Methods ◽  
Calculation Model ◽  
Perturbation Calculation ◽  
Reactor Physics ◽  
Tracking Method ◽  
Monte Carlo Techniques ◽  
Sensitivity Studies

In the reactor design and analysis, there is often a need to calculate the effects caused by perturbations of temperature, components and even structure of reactors on reactivity. And in sensitivity studies, uncertainty analysis of target quantities and unclear data adjustment, perturbation calculations are also widely used. To meet the need of different types of reactors (complex, multidimensional systems), Monte Carlo perturbation methods have been developed. In this paper, several kinds of perturbation methods are investigated. Specially, differential operator sampling method and correlated tracking method are discussed in details. MCNP’s perturbation calculation capability is discussed by calculating certain problems, from which some conclusions are obtained on the capabilities of the differential operator sampling method used in the perturbation calculation model of MCNP. Also, a code using correlated tracking method has been developed to solve certain problems with cross-section changes, and the results generated by this code agree with the results generated by straightforward Monte Carlo techniques.

Monte Carlo analysis of the CROCUS benchmark on kinetics parameters calculation

2016 ◽  
Vol 96 ◽  
pp. 377-388 ◽  
Author(s):  
Andrea Zoia ◽  
Yasushi Nauchi ◽  
Emeric Brun ◽  
Cédric Jouanne
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Kinetics Parameters ◽  
Parameters Calculation

UNCERTAINTY OF THERMOLUMINESCENCE AT LOW DOSE LEVELS: A MONTE-CARLO SIMULATION STUDY

2020 ◽  
Vol 192 (1) ◽  
pp. 14-26
Author(s):  
A M Sadek
Keyword(s):  
Monte Carlo ◽  
Background Noise ◽  
Noise Signal ◽  
Scattering Data ◽  
General Criterion ◽  
Kinetics Parameters ◽  
Monte Carlo Simulation Study ◽  
Peak Fitting ◽  
Pm 10 ◽  
Dose Levels

Abstract The purpose of the current work is to investigate the effect of the scatter data and the background noise level on the uncertainty of the thermoluminescence (TL) measurements. The Monte-Carlo (MC) algorithm has been used to simulate the scattering data and the background noise signal in TL glow-curve. Under the simulation and experimental parameters used in the present study, a new general criterion for the minimum measurable dose has been established. It has been found from the results that the TL measurements, using either the peak maximum or the peak integral, can be conducted with an uncertainty level $<\pm 10\%[2\sigma ]$ when the TL signal is at least 10 times greater than the background noise signal. It has also been found that the same criterion can be used for the evaluation of the kinetics parameters of the TL glow-peak using either the peak fitting or the peak shape methods.

G4-STORK: A Geant4-based Monte Carlo reactor kinetics simulation code

2014 ◽  
Vol 71 ◽  
pp. 451-461 ◽  
Author(s):  
Liam Russell ◽  
Adriaan Buijs ◽  
Guy Jonkmans
Keyword(s):  
Monte Carlo ◽  
Simulation Code ◽  
Reactor Kinetics ◽  
Kinetics Simulation
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