Cumulative Distribution Functions as Hysteresis Models

被引：0

作者：

de Campos, M.F. ^{[1
]}

de Castro, J.A. ^{[1
]}

机构：

[1] Federal Fluminense University (UFF), Av. dos Trabalhadores 420, RJ, Volta Redonda,27255-125, Brazil

来源：

Acta Physica Polonica A | 2024年 / 146卷 / 01期

关键词：

Coercive force - Gaussian noise (electronic) - Magnetic hysteresis;

D O I：

10.12693/APhysPolA.146.20

中图分类号：

学科分类号：

摘要：

The cumulative distribution functions can be used as the basis for hysteresis models. Here it is described how, using only 3 parameters, including one representing the shape, hysteresis curves can be constructed using symmetric distribution functions. The model is useful in the interpretation of magnetic Barkhausen noise data. The model also has a clear physical meaning because it represents the distribution of coercivity inside the sample. An isotropic Stoner-Wohlfarth hysteresis was partially modelled by a three-parameter cumulative distribution function of Gaussian hysteresis for the 1st and 3rd quadrants. Asymmetric distributions will provide better hysteresis adjustment, but these are four-parameter models. © 2024 Polska Akademia Nauk. All rights reserved.

引用

页码：20 / 25

共 50 条

[41] Asymptotic inversion of the binomial and negative binomial cumulative distribution functions
Gil A.
Segura J.
Temme N.M.
Gil, A. (amparo.gil@unican.es), 1600, Kent State University (52): : 270 - 280
[42] APPROACH TO CONSTRUCTION OF PARAMETRIC CONFIDENCE BANDS ON CUMULATIVE DISTRIBUTION FUNCTIONS
KANOFSKY, P
SRINIVASAN, R
BIOMETRIKA, 1972, 59 (03) : 623 - 631
[43] ASYMPTOTIC INVERSION OF THE BINOMIAL AND NEGATIVE BINOMIAL CUMULATIVE DISTRIBUTION FUNCTIONS
Gil, A.
Segura, J.
Temme, N. M.
ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS, 2020, 52 : 270 - 280
[44] EVALUATION OF CUMULATIVE PROBABILITY DISTRIBUTION FUNCTIONS - IMPROVED NUMERICAL METHODS
BRIGHAM, EO
CONLEY, RE
PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1970, 58 (09): : 1367 - &
[45] Cumulative distribution functions for the five simplest natural exponential families
Letac, Gerard
METRIKA, 2019, 82 (08) : 891 - 902
[46] Prediction of spatial cumulative distribution functions using subsampling - Comment
Christensen, R
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (445) : 99 - 100
[47] A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions
Lafaye de Micheaux, Pierre
Ouimet, Frederic
MATHEMATICS, 2021, 9 (20)
[48] SOME SEMI-CUMULATIVE DISTRIBUTION FUNCTIONS AS TEST FOR CENTROSYMMETRY
SRIKRISHNAN, T
INDIAN JOURNAL OF PURE & APPLIED PHYSICS, 1971, 9 (04) : 230 - +
[49] TESTS AND CONFIDENCE BANDS FOR BIVARIATE CUMULATIVE DISTRIBUTION-FUNCTIONS
ADLER, RJ
BROWN, LD
LU, KL
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1990, 19 (01) : 25 - 36
[50] UNIQUE FACTORIZATION OF PRODUCTS OF BIVARIATE NORMAL CUMULATIVE DISTRIBUTION FUNCTIONS
ANDERSON, TW
GHURYE, SG
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1978, 30 (01) : 63 - 69

← 1 2 3 4 5 →