scholarly journals The Statistical Analysis of Anisotropy Fluctuations of CMB Temperature in Angular Spatial and Temporal Areas

2021 ◽  
Vol 2081 (1) ◽  
pp. 012035
Author(s):  
V Vargashkin
Keyword(s):  
Statistical Analysis ◽  
Statistical Distributions ◽  
Satellite Measurements ◽  
Data Accumulation ◽  
Cmb Temperature

Abstract The changes in the nature of the statistical distributions of the anisotropy of the temperature of CMB in the satellite measurements of the “WMAP” probe were analyzed for the presence of laws in them in changes within the adjacent periods of data accumulation. Statistical distributions of changes in anisotropy between adjacent data accumulation periods were analyzed. The probability of the occurrence of such unidirectional changes at different frequencies of satellite measurements was analyzed and the probability of their occurrence under the influence of non-random factors was estimated.

A STATISTICAL MODEL OF WINTER/SPRING POLAR OZONE

2021 ◽  
pp. 16-24
Author(s):  
N. S. Ivanova ◽  
Keyword(s):  
Statistical Analysis ◽  
Statistical Model ◽  
Zonal Wind ◽  
The Arctic ◽  
Satellite Measurements ◽  
Latitude Zone ◽  
Using Data ◽  
Polar Ozone

Satellite measurements provided by NASA (USA) at http://ozonewatch.gsfc.nasa.gov are used to study the variability and interdependence of polar ozone, polar temperature, and mean zonal wind. A model of winter/spring polar ozone in the Arctic and Antarctic is constructed using data on polar temperatures at 30, 70, and 100 hPa levels and mean zonal wind at 10 and 70 hPa levels in the latitude zone of 45°-75°. The results of the statistical analysis of the 1979-2020 polar ozone calculation errors are presented.

scholarly journals Закономерности статистического распределения механических свойств волокон полиамида-6

2019 ◽  
Vol 45 (14) ◽  
pp. 20
Author(s):  
Ю.М. Бойко ◽  
В.А. Марихин ◽  
О.А. Москалюк ◽  
Л.П. Мясникова ◽  
Е.С. Цобкалло
Keyword(s):  
Experimental Data ◽  
Distribution Function ◽  
Statistical Analysis ◽  
Weibull Distribution ◽  
Young’S Modulus ◽  
Gaussian Distribution ◽  
Young's Modulus ◽  
Polyamide 6 ◽  
Statistical Distributions ◽  
Weibull Distribution Function

A statistical analysis of the distributions of Young's modulus Е and strain at break b of the commercial oriented fibers of polyamide-6 has been carried out in the frameworks of the models of Gauss and Weibull. The duality of the statistical distributions of Е and b revealed earlier for the strength of polyamide-6 has been confirmed. It consists in the validity of the description of the experimental data by using both the normal Gaussian distribution and the standard Weibull distribution function.

Statistical and Multifractal Properties of Barkhausen Jumps in Exchange-Coupled Antiferromagnetic/Ferromagnetic Bilayers

2014 ◽  
Vol 215 ◽  
pp. 35-40 ◽  
Author(s):  
Ivan V. Shashkov ◽  
Mikhail A. Lebyodkin ◽  
Vladimir S. Gornakov
Keyword(s):  
Statistical Analysis ◽  
Hysteresis Loop ◽  
Multifractal Analysis ◽  
Material Structure ◽  
Statistical Distributions ◽  
Magnetization Process ◽  
Pinning Centers ◽  
Jump Size ◽  
Optical Indicator ◽  
Indicator Film

Statistical and multifractal properties of Barkhausen jumps in exchange-coupled ferromagnet/antiferromagnet bilayers are studied on Co/IrMn and NiFe/NiO heterostructures using a magneto-optical indicator film technique. The statistical analysis proves a nonstochastic character of magnetization jumps. In particular, power-law behavior is observed for Co/IrMn samples. Furthermore, the statistics depends on the ferromagnet layer thickness and antiferromagnet layer material structure. The average jump size displays an asymmetry between the forward and backward branches of the hysteresis loop, particularly pronounced for the structure with a thin Co layer. In spite of the observation of such an asymmetry in the activity of the domain nucleation and pinning centers, the statistical distributions of jumps do not show any significant differences for two branches of the hysteresis loop. The conclusion on a nonrandom character of the magnetization process is supported by the multifractal analysis which reveals the presence of correlations in the time arrangement of the Barkhausen jumps.

scholarly journals Statistical Analysis of Observations of a Complete Sample of Compact Extragalactic Radio Sources

1996 ◽  
Vol 175 ◽  
pp. 97-98
Author(s):  
Y.Y. Kovalev
Keyword(s):  
Statistical Analysis ◽  
Radio Sources ◽  
Statistical Distributions ◽  
Turnover Frequency ◽  
Complete Sample ◽  
Extragalactic Radio Sources ◽  
Bl Lacs

Here are analyzed the results of instantaneous multifrequency observations for a complete sample of 113 extragalactic radio sources (see the paper by Yu.A. Kovalev et al. in these Proceedings) with declinations −30° ÷ 43° from the VLBI–survey. It is tested the hypothesis that quasars and BL Lacs have different nature. Statistical distributions for the turnover flux, turnover frequency, spectral indexes, and other parameters are analyzed.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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