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Three and four generalized Lorentzian approximations for the Voigt line shape
Applied Optics
|April 8, 2010
Summary
This study introduces a four generalized Lorentzian approximation for the Voigt function, significantly improving accuracy over previous methods. This reliable approximation is suitable for most experimental needs in spectroscopy.
Area of Science:
- Spectroscopy
- Computational Physics
- Mathematical Modeling
Background:
- The Voigt function is crucial in spectroscopy for modeling spectral line shapes.
- Previous approximations using one or two generalized Lorentzians had limitations in accuracy.
- Accurate Voigt function approximations are needed for data analysis in various scientific fields.
Purpose of the Study:
- To develop a more accurate approximation of the Voigt function.
- To investigate the use of three and four generalized Lorentzians for Voigt function approximation.
- To assess the accuracy and applicability of the proposed approximation method.
Main Methods:
- Utilized the asymptotical Padé method to derive generalized Lorentzian approximations.
- Developed approximations using three and four generalized Lorentzians in two variables.
- Evaluated the approximation accuracy across different normalized collision widths and line separations.
Main Results:
- Achieved significantly improved accuracy compared to one and two generalized Lorentzian approximations.
- The four generalized Lorentzian function demonstrated positivity for all tested parameters.
- Accuracy better than 0.0001 was obtained for most values, with a worst-case absolute error of ~0.001.
- Adequate limit functions were derived for low and high pressure regimes.
Conclusions:
- A four generalized Lorentzian approximation provides a reliable and computationally accessible method for approximating the Voigt function.
- This method offers high accuracy suitable for a wide range of experimental requirements in spectroscopy and related fields.
- The developed approximation addresses limitations of previous methods, enhancing quantitative analysis in spectral data interpretation.
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