scholarly journals USE OF THE MONTE CARLO SERPENT CODE FOR MODELING THE SECOND SERIES OF EXPERIMENTAL DATA OF KUCA SUBCRITICAL INSTALLATION

2019 ◽  
pp. 88-93
Author(s):  
O.R. Trofymenko ◽  
А.V. Nosovsky ◽  
V.I. Gulik
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Physical Characteristics ◽  
Experimental Results ◽  
Calculation Results ◽  
Effective Multiplication

Modeling of the neutron-physical characteristics of the Kyoto University KUCA subcritical facility was conducted using the Monte Carlo Serpent code. The effective multiplication factors for the critical experiments of the series II on the KUCA research subcritical facility were calculated. The presented calculation results were compared with the experimental results and the results of the calculations made using the Monte Carlo codes MCNP6 and KENO-VI.

Monte Carlo modeling of production of three alpha-particles in low energy n +12C interactions

2021 ◽  
Vol 36 (25) ◽  
pp. 2150182
Author(s):  
Khusniddin K. Olimov ◽  
Vladimir V. Lugovoi ◽  
Kosim Olimov ◽  
Maratbek Shodmonov ◽  
Kadyr G. Gulamov ◽  
...  
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Monte Carlo Model ◽  
Three Dimensional ◽  
Alpha Particles ◽  
Incident Neutron ◽  
Excitation Energies ◽  
Collision Event ◽  
Direct Decay ◽  
Calculation Results

To describe [Formula: see text] interactions with production of three [Formula: see text]-particles at incident neutron kinetic energy of 14 MeV in a nuclear (photo) emulsion, a Monte Carlo model is proposed for four channels of decay of an excited carbon-12 nucleus into three [Formula: see text]-particles. The Monte Carlo calculation results describe well the experimental data on the distribution of the angle between the three-dimensional momenta of all pairs of [Formula: see text]-particles in a collision event, on the distribution of the angle between the projections of the momentum vectors of all pairs of [Formula: see text]-particles in collision event on each of the coordinate planes, on the distribution of the sum of the kinetic energies of all pairs of [Formula: see text]-particles in a collision event, and the distribution of projections of the momenta of [Formula: see text]-particles on the coordinate planes. The best agreement of the Monte Carlo model results with the experimental data is achieved if the direct decay [Formula: see text] and decay through the formation of an intermediate beryllium nucleus [Formula: see text] are generated with equal probabilities, while the excitation energies of 3.04 MeV, 1.04 MeV, and 0.1 MeV for the beryllium nucleus are generated with relative weights of 75%, 15%, and 10%, respectively.

Systematic study of rapidity dispersion parameter in high energy nucleus–nucleus interactions

2014 ◽  
Vol 23 (03) ◽  
pp. 1450012 ◽  
Author(s):  
Swarnapratim Bhattacharyya ◽  
Maria Haiduc ◽  
Alina Tania Neagu ◽  
Elena Firu
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Systematic Study ◽  
Nuclear Emulsion ◽  
Quantitative Measure ◽  
High Energy ◽  
Average Multiplicity ◽  
Experimental Results ◽  
Dispersion Parameter ◽  
Parameter Values

A systematic study of rapidity dispersion parameter as a quantitative measure of clustering of particles has been carried out in the interactions of 16 O , 28 Si and 32 S projectiles at 4.5 A GeV/c with heavy ( AgBr ) and light (CNO) groups of targets present in the nuclear emulsion. For all the interactions, the total ensemble of events has been divided into four overlapping multiplicity classes depending on the number of shower particles. For all the interactions and for each multiplicity class, the rapidity dispersion parameter values indicate the occurrence of clusterization during the multiparticle production at Dubna energy. The measured rapidity dispersion parameter values are found to decrease with the increase of average multiplicity for all the interactions. The dependence of rapidity dispersion parameter on the average multiplicity can be successfully described by a relation D(η) = a + b〈ns〉 + c〈ns〉2. The experimental results have been compared with the results obtained from the analysis of Monte Carlo simulated (MC-RAND) events. MC-RAND events show weaker clusterization among the pions in comparison to the experimental data.

Application of Monte-Carlo Simulation to Design of Sampler and Detector in Radiation Monitoring System

2017 ◽  
Author(s):  
Kei Sugihara ◽  
Hirotaka Sakai ◽  
Kanako Hattori ◽  
Genki Tanaka ◽  
Mitsunobu Hayashi ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Energy Distribution ◽  
Monitoring System ◽  
Radiation Monitoring ◽  
Equipment Design ◽  
Experimental Results ◽  
Monte Carlo Code ◽  
Calculation Results ◽  
Radiation Monitoring System

In this study, the applicability of Monte-Carlo code PHITS(1) to the equipment design of sampler and detector in the radiation monitoring system was evaluated by comparing calculation results with experimental results obtained by actual measurements of radioactive materials. In modeling a simulation configuration, reproducing the energy distribution of beta-ray emitted from specific nuclide by means of Fermi Function was performed as well as geometric arrangement of the detector in the sampler volume. The reproducing and geometric arrangement proved that the calculation results are in excellent matching with actual experimental results. Moreover, reproducing the Gaussian energy distribution to the radiation energy deposition was performed according to experimental results obtained by the multi-channel analyzer. Through the modeling and the Monte-Carlo simulation, key parameters for equipment design were identified and evaluated. Based on the results, it was confirmed that the Monte-Carlo simulation is capable of supporting the evaluation of the equipment design.

Comparative Studying of Gough, P.S Stress Formula and Kuo, K.K Stress Formula

2014 ◽  
Vol 574 ◽  
pp. 114-118
Author(s):  
Yan Ming Zhang ◽  
Xing Bai Luo ◽  
Jian Wei Zhen ◽  
Yan Kun Chen
Keyword(s):  
Experimental Data ◽  
Inflection Point ◽  
Experimental Results ◽  
Compression Phase ◽  
Calculation Results ◽  
Stress Curve

Introduced Gough, PS stress formula and Kuo, KK stress formula, use the two formulas for specific examples ,the calculated results show that: the calculation results of Gough, P.S stress formula basically the same with the experimental results, stress curve was essentially fall within the range of experimental data in the curve, at the beginning of the compression phase Gough, P.S formula to calculate the stress value exceeds the value at the time of the experimental data; stress curve obtained by Kuo, K.K formula is consistent with the experimental results, when curves are basically the same at the temperature , the curve from experimental calculated very consistent in porosity in the range of , Kuo, K.K formula to calculate the results slightly in porosity in the range of ,the point which porosity is Kuo, K.K inflection point . Finally, the two formulas applicability and scope are analyzed, pointing out the limitations of the two formulas used to calculate the stress propellant.

Studies of Asymmetric particle Production in Different Multiplicity Zone in Azimuthal Space in High Energy Nucleus-Nucleus Interactions

2020 ◽  
Author(s):  
Swarnapratim Bhattacharyya
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Particle Production ◽  
High Energy ◽  
Experimental Results ◽  
Dynamical Fluctuations ◽  
Experimental Findings

Studies of asymmetric particle production and investigation of dynamical fluctuations in different multiplicity zone in azimuthal space are performed for <sup>16</sup>O-AgBr, <sup>22</sup>Ne-AgBr, <sup>28</sup>Si-AgBr and <sup>32</sup>S-AgBr interactions at (4.1-4.5) AGeV/c. Evidence of strong dynamical fluctuations is observed for the experimental data. Comparisons of the experimental results with the results of Monte Carlo simulated events (MC-RAND) and the results obtained from the analysis of AMPT model also strengthen the experimental findings.

Application of Monte Carlo Simulation to Design of Sampler and Detector in Radiation Monitoring System

2018 ◽  
Vol 4 (4) ◽  
Author(s):  
Kei Sugihara ◽  
Hirotaka Sakai ◽  
Kanako Hattori ◽  
Genki Tanaka ◽  
Mitsunobu Hayashi ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Heavy Ion ◽  
Radiation Monitoring ◽  
Equipment Design ◽  
Experimental Results ◽  
Code System ◽  
Transport Code ◽  
Calculation Results ◽  
Radiation Monitoring System

In this study, the applicability of Monte Carlo code particle and heavy ion transport code system (PHITS) [Sato et al. (2013, “Particle and Heavy Ion Transport Code System PHITS, Version 2.52,” J. Nucl. Sci. Technol., 50(9), pp. 913–923)] to the equipment design of sampler and detector in the radiation monitoring system was evaluated by comparing calculation results with experimental results obtained by actual measurements of radioactive materials. In modeling a simulation configuration, reproducing the energy distribution of beta-ray emitted from specific nuclide by means of Fermi Function was performed as well as geometric arrangement of the detector in the sampler volume. The reproducing and geometric arrangement proved that the calculation results are in excellent matching with actual experimental results. Moreover, reproducing the Gaussian energy distribution to the radiation energy deposition was performed according to experimental results obtained by the multi-channel analyzer. Through the modeling and the Monte Carlo simulation, key parameters for equipment design were identified and evaluated. Based on the results, it was confirmed that the Monte Carlo simulation is capable of supporting the evaluation of the equipment design.

ANGULAR DISTRIBUTIONS OF TARGET BLACK FRAGMENTS IN NUCLEUS–NUCLEUS COLLISIONS AT HIGH ENERGY

2003 ◽  
Vol 12 (05) ◽  
pp. 713-723 ◽  
Author(s):  
FU-HU LIU ◽  
NABIL N. ABD ALLAH ◽  
DONG-HAI ZHANG ◽  
MAI-YING DUAN
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
High Energy ◽  
Ideal Gas ◽  
Experimental Results ◽  
Angular Distributions ◽  
Ideal Gas Model

The experimental results of space, azimuthal, and projected angular distributions of target black fragments produced in silicon-emulsion collisions at 4.5A GeV/c (the Dubna energy) are reported. A multi-source ideal gas model is suggested to describe the experimental angular distributions. The Monte Carlo calculated results are in agreement with the experimental data.

Refined thermal calculation of the locomotive heat engine collector

2020 ◽  
pp. 56-58
Author(s):  
P.V. Gubarev ◽  
D.V. Glazunov ◽  
V.G. Ruban ◽  
A.S. Shapshal
Keyword(s):  
Experimental Data ◽  
Electric Motor ◽  
Heat Balance ◽  
Thermal Imaging ◽  
Heat Engine ◽  
Thermal Calculation ◽  
Calculation Results ◽  
Cooling Air ◽  
The Heat Balance ◽  
Traction Electric Motor

The thermal calculation of the locomotive traction engine collector is proposed. The equations of the heat balance of its elements are obtained taking into account the cooling air. The calculation results and experimental data of thermal imaging control are presented. Keywords: traction electric motor, collector, thermal calculation, thermal imaging control. [email protected]

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