(swfunc-voigtfwhm)=

# swfunc.voigtfwhm

## Syntax
 
`y = fitfun.voigtfwhm(x,p)`
 
## Description
 
`y = fitfun.voigtfwhm(x,p)` calculates the voigt function. The width
parameters define the FWHM value. The
integral of the function is normalized assuming that $dx = 1$. The
conversion between different width:
 
* gamma parameter of the Lorentzian $\gamma = w_L/2$
* standard deviation of the Gaussian $\sigma = w_G/\sqrt{8\cdot\ln(2)}$
 
## Input Arguments
 
`x`
: Input coordinates where the function will be calculated.
 
`p`
: Parameters in a vector with elements `[A x0 wG wL]`:
 
  * `A` integral of the output assuming $dx=1$ (for different $dx$
     multiply the amplitude with $dx$ to keep the integral constant).
  * `x0` peak center positions.
  * `wG` FWHM of the Gaussian component.
  * `wL` FWHM of the Lorentzian component.
 
 
## See also
 
[swfunc.gauss](#swfunc-gauss) \| [swfunc.gaussfwhm](#swfunc-gaussfwhm) \| [swfunc.pvoigt](#swfunc-pvoigt)
 
*[FWHM]: Full Width at Half Maximum