Reduction coefficient in surface-plus-window dissipation: Analysis of experimental data from fusion-fission reactions within a stochastic approach

2003 ◽  
Vol 66 (6) ◽  
pp. 1203-1210 ◽  
Author(s):  
P. N. Nadtochy ◽  
A. V. Karpov ◽  
D. V. Vanin ◽  
G. D. Adeev
Keyword(s):  
Experimental Data ◽  
Stochastic Approach ◽  
Fission Reactions ◽  
Reduction Coefficient

scholarly journals An Empiric-Stochastic Approach, Based on Normalization Parameters, to Simulate Solar Irradiance

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Edith Osorio de la Rosa ◽  
Guillermo Becerra Nuñez ◽  
Alfredo Omar Palafox Roca ◽  
René Ledesma-Alonso
Keyword(s):  
Experimental Data ◽  
Solar Irradiance ◽  
Solar Power ◽  
Moving Average ◽  
Estimation Method ◽  
Synthetic Data ◽  
Stochastic Approach ◽  
Photovoltaic System ◽  
Fitting Procedure ◽  
Irradiance Data

This paper presents a methodology to estimate solar irradiance using an empiric-stochastic approach, which is based on the computation of normalization parameters from the solar irradiance data. For this study, the solar irradiance data were collected in a weather station during a year. Posttreatment included a trimmed moving average to smooth the data, the performance of a fitting procedure using a simple model to recover normalization parameters, and the estimation of a probability density, which evolves along the daytime, by means of a kernel density estimation method. The normalization parameters correspond to characteristic physical variables that allow us to decouple the short- and long-term behaviors of solar irradiance and to describe their average trends with simple equations. The normalization parameters and the probability densities allowed us to build an empiric-stochastic methodology that generates an estimate of the solar irradiance. Finally, in order to validate our method, we had run simulations of solar irradiance and afterward computed the theoretical generation of solar power, which in turn had been compared with the experimental data retrieved from a commercial photovoltaic system. Since the simulation results show a good agreement with the experimental data, this simple methodology can generate the synthetic data of solar power production and may help to design and test a photovoltaic system before installation.

INFLUENCE OF NUCLEAR DISSIPATION ON PRESCISSION NEUTRON MULTIPLICITY, FISSION PROBABILITY AND FISSION TIME FOR COMPOUND NUCLEUS 210Po

2012 ◽  
Vol 21 (01) ◽  
pp. 1250008 ◽  
Author(s):  
H. ESLAMIZADEH
Keyword(s):  
Compound Nucleus ◽  
Stochastic Approach ◽  
Neutron Multiplicity ◽  
Langevin Equations ◽  
Excitation Energies ◽  
One Dimensional ◽  
Reduction Coefficient ◽  
Fission Probability ◽  
Nuclear Dissipation ◽  
Good Agreement

A stochastic approach for fission dynamics based on one-dimensional Langevin equations was applied to investigate the effect of the nuclear dissipation on the prescission neutron multiplicity, fission probability and the fission time for the compound nucleus 210 Po in an intermediate range of excitation energies 30–120 MeV. A modified wall and window dissipation with a reduction coefficient, k s , has been used in the Langevin equations. It was shown that the results of the calculations are in good agreement with the experimental data by using values of k s in the range 0.28 ≤ k s ≤ 0.50.

DYNAMICAL SIMULATION OF EMISSION ANGLE DEPENDENCE OF FRAGMENTS SPIN IN HEAVY ION FUSION–FISSION REACTIONS

2010 ◽  
Vol 19 (07) ◽  
pp. 1451-1461 ◽  
Author(s):  
M. R. PAHLAVANI ◽  
D. NADERI ◽  
S. M. MIRFATHI
Keyword(s):  
Experimental Data ◽  
Heavy Ion ◽  
Emission Angle ◽  
Fission Reactions ◽  
Angle Dependence ◽  
Dynamical Simulation ◽  
Deformation Parameters ◽  
Average Spin ◽  
Neck Thickness ◽  
Heavy Ion Fusion

In this paper, a formalism consisting of multi-dimensional Langevin equation (LE) and Scission point Transition State Model (SCTSM) have been applied to study the angle dependence of fragment's average spin for 16 O + 209 Bi and 16 O + 232 Th systems. The influence of asymmetry and deformation parameters, neck thickness of compound nucleus and pre-scission neutron multiplicity on the fragment's average spin is discussed. Results obtained using this approach are in better agreement with the experimental data as compared with the SCTSM.

scholarly journals A General Theoretical Framework to Design Base Editors with Reduced Bystander Effects

2021 ◽  
Author(s):  
Qian Wang ◽  
Jie Yang ◽  
Zhicheng Zhong ◽  
Xue Gao ◽  
Anatoly Kolomeisky
Keyword(s):  
Experimental Data ◽  
Gene Therapy ◽  
High Precision ◽  
Bystander Effect ◽  
Stochastic Approach ◽  
Molecular Dynamic Simulations ◽  
Dynamic Simulations ◽  
Bystander Effects ◽  
Discrete State ◽  
Base Editing

Abstract Base editors (BEs) hold great potential for gene therapy. However, high precision base editing requires BEs that can discriminate between the target base and multiple bystander bases within a narrow active window (4 - 10 nucleotides). To assist in the design of these optimized editors, we propose a discrete-state stochastic approach to build an analytical model that describes the probabilities of editing the target base and bystanders. Combined with all-atom molecular dynamic simulations, our model well reproduces the experimental data of A3A-BE3 and its variants for target and bystander editing. Building upon this model, we propose several general principles that can guide the design of BEs with a reduced bystander effect. We used these principles to improve the A3G-BEs with high precision and verified their base-editing activities experimentally. In summary, our study provides a computational-aided platform to assist in designing BEs with reduced bystander effects.

scholarly journals Convergence of a Belief Propagation Algorithm for Biological Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Sang-Mok Choo ◽  
Young-Hee Kim
Keyword(s):  
Experimental Data ◽  
Biological Networks ◽  
Belief Propagation ◽  
Iterative Scheme ◽  
Biological Systems ◽  
Network Models ◽  
Stochastic Approach ◽  
Factor Graph ◽  
Process Step ◽  
Whole Process

Constructing network models of biological systems is important for effective understanding and control of the biological systems. For the construction of biological networks, a stochastic approach for link weights has been recently developed by using experimental data and belief propagation on a factor graph. The link weights were variable nodes of the factor graph and determined from their marginal probability mass functions which were approximated by using an iterative scheme. However, there is no convergence analysis of the iterative scheme. In this paper, at first, we present a detailed explanation of the complicated multistep process step by step with a network of small size and artificial experimental data, and then we show a sufficient condition for the convergence of the iterative scheme. Numerical examples are given to illustrate the whole process and to verify our result.

scholarly journals U-238 fission and Pu-239 production in subcritical assembly

2018 ◽  
Vol 177 ◽  
pp. 07003 ◽  
Author(s):  
Magdalena Grab ◽  
Andrzej Wojciechowski
Keyword(s):  
Experimental Data ◽  
Energy Spectrum ◽  
Information Technologies ◽  
Particle Beam ◽  
Peripheral Region ◽  
Particle Energy ◽  
Fission Reactions ◽  
Simulation Results ◽  
Good Agreement

The project touches upon an issue of U-238 fission reactions and Pu-239 production reactions in subcritical assembly. The experiment took place in November 2014 at the Dzhelepov Laboratory of Nuclear Problems (JINR, Dubna) using PHASOTRON.Data of this experiment were analyzed in Laboratory of Information Technologies (LIT). Four MCNPX models were considered for simulation: Bertini/Dresnen, Bertini/Abla, INCL4/Drensnen, INCL4/Abla. The main goal of the project was to compare the experimental data and simulation results. We obtain a good agreement of experimental data and computation results especially for detectors placed besides the assembly axis. In addition, the U-238 fission reactions are more probable to be observed in the region of a higher particle energy spectrum, located closer to the assembly axis and the particle beam as well and vice versa Pu-239 production reactions were dominant in the peripheral region of geometry.

scholarly journals Monte Carlo Calculation of Fragment Distributions in Nuclear Reactions

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
A. Deppman ◽  
E. Andrade-II ◽  
P. C. R. Rossi ◽  
F. Garcia ◽  
J. R. Maiorino
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Qualitative Agreement ◽  
Nuclear Reactions ◽  
Monte Carlo Calculation ◽  
High Energy ◽  
Fission Reactions ◽  
Good Qualitative Agreement ◽  
Driven Systems ◽  
Mc Method

The fragments produced in nuclear reactions for accelarator driven systems (ADS) operation form elements that can have effects on the structure of the reactor. In this regard, the calculation of fragment distributions gives important information for the development of ADS. To obtain those distributions, the Monte Carlo (MC) method is an important tool, and in this work we describe calculations of fragment distributions through a MC code for reactions initiated by intermediate- and high-energy protons and photons on actinide and preactinide nuclei. We study the production of fragments through spallation and fission reactions. The results show good qualitative agreement with experimental data.

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