2019
DOI: 10.1016/j.jqsrt.2019.01.017
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Notes: An assessment of some closed-form expressions for the Voigt function III: Combinations of the Lorentz and Gauss functions

Abstract: A variety of "pseudo-Voigt" functions, i.e. a linear combination of the Lorentz and Gauss function (occasionally augmented with a correction term), have been proposed as a closed-form approximation for the convolution of the Lorentz and Gauss function known as the Voigt function. First, a compact review of several approximations using a consistent notation is presented. The comparison with accurate reference values indicates relative errors as large as some percent. (Franz Schreier) √ ln 2γ L /γ G . At the lin… Show more

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Cited by 8 publications
(2 citation statements)
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References 32 publications
(75 reference statements)
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“…Participant #13 used a pseudo-Voigt function rather than a Lorentzian function and some differences in peak metrics such as Γ 2D may be expected, as a pseudo-Voigt function is a linear combination (not a convolution) of Lorentzian and Gaussian curves [83]. To explore the effect of peak fit function on the relative difference due to data analysis, participant #13's data was re-fitted with a pseudo-Voigt function in OriginPro (OriginLab) as used as for a comparison between the participant and LP data.…”
Section: Peak Fitting Functionsmentioning
confidence: 99%
“…Participant #13 used a pseudo-Voigt function rather than a Lorentzian function and some differences in peak metrics such as Γ 2D may be expected, as a pseudo-Voigt function is a linear combination (not a convolution) of Lorentzian and Gaussian curves [83]. To explore the effect of peak fit function on the relative difference due to data analysis, participant #13's data was re-fitted with a pseudo-Voigt function in OriginPro (OriginLab) as used as for a comparison between the participant and LP data.…”
Section: Peak Fitting Functionsmentioning
confidence: 99%
“…Schreier [38,43,44] has extensively reviewed this subject. The Voigt function is a powerful tool that has important applications in many fields of science.…”
Section: Spectral Fitting Programme Thermo No-lifmentioning
confidence: 99%