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pp_gauss_from_fwhm.pro

Author information

Author: Paulo Penteado (pp.penteado@gmail.com), Nov/2010

Routines

top source pp_gauss_from_fwhm

result = pp_gauss_from_fwhm(x [, fwhm=fwhm] [, sigma=sigma])

Evaluates a normalized Gaussian distribution of mean zero and the provided width at the provided locations (x). The width can be provided from the standard deviation (sigma) or the FWHM (fwhm).

Parameters

x

The locations where the Gaussian is to be evaluated.

Keywords

fwhm in optional default=1d0

Specifies the width of the Gaussian, as its Full Width Half Maximum (FWHM). If both sigma and fwhm are provided, fwhm takes precedence.

sigma in optional default=1d0

Specifies the width of the Gaussian, as its Full Width Half Maximum (FWHM). If both sigma and fwhm are provided, fwhm takes precedence.

Examples

Make a domain where the Gaussian is to be evaluated:

 nx=201
 x=(dindgen(nx)/(nx-1d0)-0.5d0)*5d0

Make a Gaussian with fwhm=1 and plot it:

 yg=pp_gauss_from_fwhm(x,fwhm=1d0)
 pg=plot(x,yg,color='red',name='Gaussian, FWHM=1d0',thick=2.)

Now compare with a Lorentzian (made with pp_lorentz_from_fwhm):

 yl=pp_lorentz_from_fwhm(x,fwhm=1d0)
 pl=plot(x,yl,color='blue',name='Lorentzian, FWHM=1d0',thick=2.,/over)
 l=legend(target=[pg,pl],position=[0.5,0.5]) ;Identify the two lines

Save the result into the file shown below:

   pg.save,'pp_gauss_from_fwhm.png',resolution=100

Statistics

Lines:	10 lines
Cyclomatic complexity:	2
Modified cyclomatic complexity:	2

File attributes

Modification date:	Wed Jun 29 22:15:28 2016
Lines:	10
Docformat:	rst rst

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