The estimation techniques of the time series correlations in nuclear reactor calculations by the Monte Carlo method using multiprocessor computers

2012 ◽  
Vol 75 (14) ◽  
pp. 1669-1674 ◽  
Author(s):  
M. A. Kalugin ◽  
D. S. Oleynik ◽  
E. A. Sukhino-Khomenko
Keyword(s):  
Time Series ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Nuclear Reactor ◽  
Estimation Techniques ◽  
The Monte Carlo Method

Simulation of Nuclear Reactor Kinetics by the Monte Carlo Method

2017 ◽  
Vol 80 (8) ◽  
pp. 1399-1407
Author(s):  
E. A. Gomin ◽  
V. D. Davidenko ◽  
A. S. Zinchenko ◽  
I. K. Kharchenko
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Nuclear Reactor ◽  
Reactor Kinetics ◽  
The Monte Carlo Method ◽  
Nuclear Reactor Kinetics

scholarly journals Detection of a sinusoidal oscillation of unknown frequency in a time series – a geodetic approach

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
R. Lehmann
Keyword(s):  
Time Series ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Hypothesis Test ◽  
Critical Values ◽  
Statistical Hypothesis ◽  
Ratio Test ◽  
Sinusoidal Oscillation ◽  
The Monte Carlo Method ◽  
Sinusoidal Oscillations

AbstractGeodetic and geophysical time series may contain sinusoidal oscillations of unknown angular frequency. Often it is required to decide if such sinusoidal oscillations are truly present in a given time series. Here we pose the decision problem as a statistical hypothesis test, an approach very popular in geodesy and other scientific disciplines. In the case of unknown angular frequencies such a test has not yet been proposed.We restrict ourselves to the detection of a single sinusoidal oscillation in a one-dimensional time series, sampled at non-uniform time intervals.We compare two solution methods: the likelihood ratio test for parameters in a Gauss-Markov model and the analysis of the Lomb-Scargle periodogram. Whenever needed, critical values of these tests are computed using the Monte Carlo method. We analyze an exemplary time series from an absolute gravimetric observation by various tests. Finally, we compare their statistical power. It is found that the results for the exemplary time series are comparable. The LR test is more flexible, but always requires the Monte Carlo method for the computation of critical values. The periodogram analysis is computationally faster, because critical values can be approximately deduced from the exponential distribution, at least if the sampling is nearly uniform.

scholarly journals Complex for Modeling the Reliability of Reactor Plant Systems by the Monte Carlo Method

2018 ◽  
Vol 3 (3) ◽  
pp. 54
Author(s):  
E.V. Mikhailova ◽  
A.V. Sobolev
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Nuclear Reactor ◽  
Reactor Plant ◽  
Reactor Unit ◽  
Reliability Indicators ◽  
Dependent Failures ◽  
The Monte Carlo Method ◽  
State Determination ◽  
Complex Technical Systems

The article considers the main models incorporated in the developed software package for modeling reliability indicators of nuclear reactor unit (RF) complex technical systems by the Monte Carlo method. Approaches to organization of system state determination on the layout basis into groups, principles of accounting for dependent failures and incomplete recovery are described.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

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