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Tsallis and Kaniadakis Gaussian Functions, Applied to the Analysis of Diamond Raman Spectrum, and Compared With Pseudo-Voigt Functions

Authors: Sparavigna, Amelia Carolina;

Tsallis and Kaniadakis Gaussian Functions, Applied to the Analysis of Diamond Raman Spectrum, and Compared With Pseudo-Voigt Functions

Abstract

Previous studies (Sparavigna, 2023) have demonstrated the Tsallis q-Gaussian functions suitable for the analysis of Raman spectra. These functions can be used for simulating the different line shapes of Raman bands. Besides the q-Gaussian, another generalized Gaussian form can be investigated for Raman spectroscopy; it is the Kaniadakis κ-Gaussian probability density function, which contains the κ-exponential. Here, we consider both q- and κ-Gaussians for fitting onto the Raman spectrum of diamond. In the case of diamond, some fitting examples obtained with the Kaniadakis exponents are providing a better result, for the behavior of the far wings of the line. Comparison with pseudo-Voigt line shape is also proposed and a pseudo-Voigtian function made of a linear combination of two q-Gaussians is proposed too.

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Keywords

Lorentzian distribution, Raman spectroscopy, Gaussian distribution, Cauchy distribution, Voigt distribution, Kaniadakis κ-Gaussian distribution, Tsallis q-Gaussian distribution, Diamond, Pseudo-Voigt function

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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