Applications of the uranium’s set of isotopes for nuclear dating: the Monte-Carlo method

2019 ◽  
Vol 107 (3) ◽  
pp. 207-213
Author(s):  
Oksana Pop ◽  
Volodymyr Maslyuk
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Statistical Testing ◽  
Carpathian Mountains ◽  
Low Background ◽  
Statistical Errors ◽  
The Monte Carlo Method ◽  
Geochemical Studies ◽  
Standard Sets

Abstract The new abilities of the method of standard sets of nuclides (SSN) supplemented by the procedure of statistical testing for geochemical studies and nuclear dating are presented. The method allows one move from point-like to probabilistic dating procedures when both the age of the sample and the statistical errors of its determination can be estimated. Low background γ-spectrometric experiments were carried out for samples of rocks of the Carpathian Mountains and calculations for their dating by using the SSN of the series 238U were made. The dependence of the reliability of nuclear dating on the quality of the low background experiment is discussed too.

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.

scholarly journals Methodological assessment of uncertainty in forecasting hydrocarbon reserves of the North Varieganskoye field (Western Siberia)

2021 ◽  
Vol 1 ◽  
pp. 46-54
Author(s):  
Irina Aleksandrovna LEBEDEVA ◽  
◽  
Stephan Grigor’evich PANYAK ◽  
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reservoir Properties ◽  
Crystal Ball ◽  
The North ◽  
The Monte Carlo Method ◽  
Methodological Assessment ◽  
Hydrocarbon Reserves

Relevance. The assessment of uncertainties for the calculation of hydrocarbon reserves is a timely topic. The quality of hydrocarbon reserves is declining as old oil fields are depleted. Rates of discovery are in decline since most of the territories prospectively rich in hydrocarbon resources have already been explored. Newly discovered fields are classified as small and medium in terms of the amount of hydrocarbon reserves and difficult in terms of the quality of reserves. Purpose of the research is to determine important reservoir properties that have the greatest impact on the variability of the initial hydrocarbon reserves using sensitivity analysis and conducting a probabilistic hydrocarbon reserves assessment by the Monte Carlo method. Methods of research. The probabilistic hydrocarbon reserves assessment was carried out by the Monte Carlo method with the corresponding frequency curves of the probability distribution of volumetric parameters, which were performed using the Oracle Crystal Ball application. The sensitivity analysis of volumetric parameters that have the greatest impact on the amount of the initial hydrocarbons reserves was performed using the Oracle Crystal Ball application as well. Results and their application. An assessment of uncertainties and risks is necessary both for newly discovered fields in order to negate the risk of drilling unproductive wells and mature fields for a targeted program of geological and technological measures (GTM). Conclusions. The formation of bedded sand bodies of the Vasyugan (SE11, SE12, SE13) and Tyumen (SE2) suites took place in various sedimentation conditions, which could not but affect the quality of the reservoir of the studied formations. The analysis of the sensitivity of parameters has shown that different parameters affect the amount of hydrocarbon reserves in places SE11, SE12, SE13 and place SE2 .

METROLOGICAL SUPPORT OF SELECTIVE MULTI-PARAMETRIC CONTROL

2019 ◽  
pp. 32-36 ◽  
Author(s):  
S. B. Danilevich ◽  
M. V. Golobokov ◽  
V. V. Tretyak
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Sample Size ◽  
Simulation Modeling ◽  
Parametric Control ◽  
Reliability Indicators ◽  
The Monte Carlo Method ◽  
Measurement Control ◽  
Accuracy Of Measurement

The development of methods for selective measurement control of commercially available products, the quality of which is characterized by a number of parameters, is considered. At the same time, it is necessary to establish reasonable requirements for the accuracy of measurement of parameters, as well as the sample size of controlled products. If the controlled parameters are correlated, the problem of optimizing their number arises.Using the Monte Carlo method (simulation modeling), we investigated the effect of measurement uncertainty and the sample size of controlled products on control reliability indicators. The average risks of the customer and the manufacturer are calculated while monitoring samples of products of various volumes. The calculations were made under the assumption that the quality of each product is characterized by 30 uncorrelated parameters. It is shown that in the considered case there is an almost linear dependence of the mentioned risks on the volume of the controlled sample of products.

scholarly journals Simulasi Monte Carlo dalam Memprediksi Tingkat Lonjakan Penumpang (Studi Kasus di PT. Tri Arga Travel)

2020 ◽  
pp. 92-97
Author(s):  
Dina Mardiati ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulation Method ◽  
Transportation Services ◽  
The Monte Carlo Method ◽  
Linear Congruential Generator ◽  
High Level ◽  
Linear Congruential ◽  
A Company

Tri Arga Travel is a company engaged in transportation services. The company really prioritizes the quality of service to consumers. So that on holidays there is usually a surge in passengers that cannot be predicted by the company. This greatly affects service to passengers. The purpose of this research is to predict the surge rate of PT. Tri Arga Travel, making it easier for the leadership of PT. Tri Arga Travel to take a policy when there is a surge in passengers in the future. The data used in this study is data on the number of passengers in 2017, 2018, and 2019 with the aim of padang-perawang. Then, the data is processed using the Monte Carlo method. The Monte Carlo method is a simulation method that uses random numbers obtained from the Linear Congruential Generator (LCG) to predict the rate of passenger spike in the following year by utilizing the previous year's passenger data. The results obtained from testing the Monte Carlo simulation can be seen that in July it is predicted that there will be a surge in passengers with an average level of accuracy of 86.74%. With a fairly high level of accuracy, the application of the Monte Carlo method can be used as a recommendation to predict the level of passenger spikes and also help in improving services to prospective passengers of PT. Tri Arga Travel.

Radiology and mammography standard X-ray spectra simulated with the Monte Carlo method

2021 ◽  
Vol 9 (2C) ◽  
Author(s):  
Joel Marques Xavier Filho ◽  
Iury Santos Silveira ◽  
Linda Viola Ehlin Caldas
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Quality Parameters ◽  
Monte Carlo Code ◽  
X Ray ◽  
The Monte Carlo Method ◽  
The Mean

Six standard beams described in the TRS-457 (IAEA): RQR 5, 8, M1, M2, M3, M4 were simulated using the EGSnrc Monte Carlo code. Each spectrum was created by an X-ray tube simulated in BEAMnrc, and attenuation curves were obtained using the application egs_kerma. The quality of each beam was evaluated by the 1st and 2nd half-value layers, the homogeneity coefficients and the mean energies. All beams presented quality parameters compatible with those described in TRS-457 (IAEA).

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.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

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