PseudoVoigt



       


       


where 0 η 1.


The pV(x) function is a linear combination of a Lorentzian (L) and a Gaussian (G) of the same FWHM (H), so there two parameters

characterizing the peak shape:


       


If L(x) and G(x) are normalized, pV(x) is also normalized. The integral breadth of a normalized pseudoVoigt function is just the inverse of the maximum value. The FWHM is the same for L(x), G(x) and pV(x).









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