asymmetry function
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Atoms ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 94
Author(s):  
Yang Wang ◽  
Hai-Liang Du ◽  
Xi-Ming Zhu ◽  
Oleg Zatsarinny ◽  
Klaus Bartschat

The Dirac B-spline R-matrix (DBSR) method is employed to treat low-energy electron collisions with thallium atoms. Special emphasis is placed on spin polarization phenomena that are investigated through calculations of the differential cross-section and the spin asymmetry function. Overall, good agreement between the present calculations and the available experimental measurements is found. The contributions of electron exchange to the spin asymmetry cannot be ignored at low impact energies, while the spin–orbit interaction plays an increasingly significant role as the impact energy rises.


Mathematika ◽  
2021 ◽  
Vol 67 (4) ◽  
pp. 788-806
Author(s):  
B. Malcolm Brown ◽  
Karl Michael Schmidt ◽  
Stephen P. Shipman ◽  
Ian Wood

2020 ◽  
Vol 27 ◽  
pp. 91
Author(s):  
Manolis Divaris ◽  
Charalampos Moustakidis

We systematically study the effect of the nuclear symmetry energy in the basic properties of finite, neutron-rich, heavy nuclei where symmetry energy plays a dominant role. We employ a variational method, in the framework of the Thomas-Fermi approximation, to study the effect of the symmetry energy on the neutron skin thickness and symmetry energy coefficients of various nuclei. The isospin asymmetry function a(r) is directly related to the symmetry energy as a consequence of the variational principle. In addition to this, the Coulomb interaction is included in a self-consistent way. The energy density of the asymmetric nuclear matter that is used, has its origins in a momentum-dependent interaction.


2017 ◽  
Vol 57 ◽  
pp. 291-292
Author(s):  
Slawomir Winiarski ◽  
Krzysztof Aleksandrowicz
Keyword(s):  

2017 ◽  
Author(s):  
Guillaume A. Rousselet ◽  
Cyril R. Pernet ◽  
Rand R. Wilcox

AbstractIf many changes are necessary to improve the quality of neuroscience research, one relatively simple step could have great pay-offs: to promote the adoption of detailed graphical methods, combined with robust inferential statistics. Here we illustrate how such methods can lead to a much more detailed understanding of group differences than bar graphs and t-tests on means. To complement the neuroscientist’s toolbox, we present two powerful tools that can help us understand how groups of observations differ: the shift function and the difference asymmetry function. These tools can be combined with detailed visualisations to provide complementary perspectives about the data. We provide implementations in R and Matlab of the graphical tools, and all the examples in the article can be reproduced using R scripts.


2009 ◽  
Vol 80 (6) ◽  
Author(s):  
V. Hamelbeck ◽  
G. F. Hanne ◽  
O. Zatsarinny ◽  
K. Bartschat ◽  
R. K. Gangwar ◽  
...  

2005 ◽  
Vol 49 (11) ◽  
pp. 905-915 ◽  
Author(s):  
V. I. Shishov ◽  
T. V. Smirnova
Keyword(s):  

1995 ◽  
Vol 10 (3) ◽  
pp. 204-206 ◽  
Author(s):  
P. Riello ◽  
P. Canton ◽  
G. Fagherazzi

A new semi-empirical approximation for the asymmetry function to be used in the X-ray Rietveld analysis has resulted in lower values of the so-called goodness-of-fit index, defined as S = Rwp/Rexp, where Rwp is the R-weighted pattern and Rexp is the R-expected [R. A. Young, The Rietveld Method (Oxford U.P., Oxford, 1993)], with respect to the corresponding values obtained with the classical approximation used by Rietveld in his fundamental paper. A comparing test of the two asymmetry functions was carried out for the cubic Y2O3 and for αAl2O3 using either pseudo-Voigt or Pearson VII symmetrical functions and two diffractometers. As in the case of the Rietveld approximation, the present one, which employs an exponential function, is optimized using only one fitting parameter. Experimentally, the asymmetry can be considerably diminished by using Soller slits with a small opening angle (≤2°).


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