Quantum Polarization Characteristic Function and Cumulant Analysis of Stokes Parameters

2021 ◽  
Author(s):  
Anatoly S. Chirkin ◽  
Ranjit Singh
Keyword(s):  
Characteristic Function ◽  
Polarization Characteristic ◽  
Stokes Parameters ◽  
Quantum Polarization ◽  
Cumulant Analysis

scholarly journals Pulsed characteristic-function measurement of a thermalizing harmonic oscillator

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
Ralf Betzholz ◽  
Yu Liu ◽  
Jianming Cai
Keyword(s):  
Characteristic Function ◽  
Harmonic Oscillator ◽  
Function Measurement

Assessing intermittency characteristics via cumulant analysis of floating wind turbines wakes

2021 ◽  
Vol 13 (1) ◽  
pp. 013302
Author(s):  
Hawwa Kadum ◽  
Stanislav Rockel ◽  
Bianca Viggiano ◽  
Tamara Dib ◽  
Michael Hölling ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Cumulant Analysis

scholarly journals E and B families of the Stokes parameters in the polarized synchrotron and thermal dust foregrounds

2018 ◽  
Vol 2018 (05) ◽  
pp. 059-059 ◽  
Author(s):  
Hao Liu ◽  
James Creswell ◽  
Pavel Naselsky
Keyword(s):  
Stokes Parameters

scholarly journals New diagonal micropolarizer arrays designed by an improved model in fourier domain

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jia Hao ◽  
Yan Wang ◽  
Kui Zhou ◽  
Xiaochang Yu ◽  
Yiting Yu
Keyword(s):  
Stokes Parameters ◽  
Fourier Domain ◽  
Extended Model ◽  
Reconstruction Accuracy ◽  
Polarization Imaging ◽  
New Class ◽  
Reconstruction Quality ◽  
Improved Design ◽  
Improved Model

AbstractThe design of micropolarizer array (MPA) patterns in Fourier domain provides an efficient approach to reconstruct and investigate the polarization information. Inspired by Alenin’s works, in this paper, we propose an improved design model to cover both 2 × N MPAs and other original MPAs, by which an entirely new class of MPA patterns is suggested. The performance of the new patterns is evaluated through Fourier domain analysis and numerical simulations compared with the existing MPAs. Particularly, we analyze the reconstruction accuracy of the first three Stokes parameters and degree of linear polarization (DoLP) in detail. The experimental results confirm that the 2 × 2 × 2 MPA provides the highest reconstruction quality of s0, s1, s2 and DoLP in terms of quantitative measures and visual quality, while the 3 × 3 diagonal MPA achieves the state-of-the-art best results in case of single-snapshot systems. The guidance of this extended model and new diagonal MPAs show its massive potential for the division of focal plane (DoFP) polarization imaging applications.

scholarly journals Computing the Sound of the Sea in a Seashell

2021 ◽  
Author(s):  
Jonathan Ben-Artzi ◽  
Marco Marletta ◽  
Frank Rösler
Keyword(s):  
Characteristic Function ◽  
Helmholtz Resonator ◽  
Positive Answer ◽  
Approximation Procedure ◽  
Universal Algorithm

AbstractThe question of whether there exists an approximation procedure to compute the resonances of any Helmholtz resonator, regardless of its particular shape, is addressed. A positive answer is given, and it is shown that all that one has to assume is that the resonator chamber is bounded and that its boundary is $${{\mathcal {C}}}^2$$ C 2 . The proof is constructive, providing a universal algorithm which only needs to access the values of the characteristic function of the chamber at any requested point.

On the first zero of an empirical characteristic function

1991 ◽  
Vol 28 (3) ◽  
pp. 593-601 ◽  
Author(s):  
H. U. Bräker ◽  
J. Hüsler
Keyword(s):  
Characteristic Function ◽  
Limit Distribution ◽  
Random Variable ◽  
Empirical Characteristic Function ◽  
The Real ◽  
Exponential Decrease ◽  
Characteristic Process

We deal with the distribution of the first zero Rn of the real part of the empirical characteristic process related to a random variable X. Depending on the behaviour of the theoretical real part of the underlying characteristic function, cases with a slow exponential decrease to zero are considered. We derive the limit distribution of Rn in this case, which clarifies some recent results on Rn in relation to the behaviour of the characteristic function.

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