fityk(1) [debian man page]

FITYK(1)						      General Commands Manual							  FITYK(1)

NAME

       fityk - non-linear curve fitting and data analysis

SYNOPSIS

       fityk [OPTION]... [FILE]...
       cfityk [OPTION]... [FILE]...

DESCRIPTION

       This manpage documents briefly the fityk and cfityk programs for nonlinear fitting of analytical functions (especially peak-shaped) to data
       (usually experimental data). In other words, for nonlinear peak separation and analysis.
       It was developed for analyzing diffraction patterns, but can be also used in other fields, since concepts and operations specific for crys-
       tallography are separated from the rest of the program.
       Fityk offers various nonlinear fitting methods, subtracting background, calibrating data, easy placement of peaks and changing peak parame-
       ters, automation of common tasks with scripts, and much more. The main advantage of the program is a flexibility - parameters of peaks  can
       be  arbitrarily	binded with each other, eg. width of peak can be an independent variable, can be the same as width of other peak or can be
       given by complicated - common for all peaks - formula.
       The program comes in two versions: fityk , the GUI version and cfityk , the command line version.
       A user manual for fityk and cfityk can be found in /usr/share/doc/fityk/html/fityk-manual.html.

OPTIONS

       -h, --help
	      Print the usage and exit.

       -V, --version
	      Print the version number and exit.

       Use --help to see the full list of options.

AUTHOR

       This manual page was written by Carlo Segre <segre@iit.edu> and updated by Marcin Wojdyr.

								  January 8, 2006							  FITYK(1)

Gaussian(3pm)						User Contributed Perl Documentation					     Gaussian(3pm)

NAME

       PDL::Fit::Gaussian - routines for fitting gaussians

DESCRIPTION

       This module contains some custom gaussian fitting routines.  These were developed in collaboration with Alison Offer, they do a reasonably
       robust job and are quite useful.

       Gaussian fitting is something I do a lot of, so I figured it was worth putting in my special code.

       Note it is not clear to me that this code is fully debugged. The reason I say that is because I tried using the internal linear eqn solving
       C routines called elsewhere and they were giving erroneous results.  So steal from this code with caution! However it does give good fits
       to reasonable looking gaussians and tests show correct parameters.

		    KGB 29/Oct/2002

SYNOPSIS

	       use PDL;
	       use PDL::Fit::Gaussian;
	       ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data);
	       ($pk, $fwhm, $back, $err, $fit) = fitgauss1dr($r, $data);

FUNCTIONS

   fitgauss1d
       Fit 1D Gassian to data piddle

	 ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data);

	 ($cen, $pk, $fwhm, $back, $err, $fit) = fitgauss1d($x, $data);

	 xval(n); data(n); [o]xcentre();[o]peak_ht(); [o]fwhm();
	 [o]background();int [o]err(); [o]datafit(n);
	 [t]sig(n);  [t]xtmp(n); [t]ytmp(n); [t]yytmp(n); [t]rtmp(n);

       Fits a 1D Gaussian robustly free parameters are the centre, peak height, FWHM. The background is NOT fit, because I find this is generally
       unreliable, rather a median is determined in the 'outer' 10% of pixels (i.e. those at the start/end of the data piddle). The initial
       estimate of the FWHM is the length of the piddle/3, so it might fail if the piddle is too long. (This is non-robust anyway). Most data does
       just fine and this is a good default gaussian fitter.

       SEE ALSO: fitgauss1dr() for fitting radial gaussians

   fitgauss1dr
       Fit 1D Gassian to radial data piddle

	 ($pk, $fwhm2, $back, $err, $fit) = fitgauss1dr($r, $data);

	 ($pk, $fwhm2, $back, $err, $fit) = fitgauss1dr($r, $data);

	 xval(n); data(n); [o]peak_ht(); [o]fwhm();
	 [o]background();int [o]err(); [o]datafit(n);
	 [t]sig(n);  [t]xtmp(n); [t]ytmp(n); [t]yytmp(n); [t]rtmp(n);

       Fits a 1D radial Gaussian robustly free parameters are the peak height, FWHM. Centre is assumed to be X=0 (i.e. start of piddle).  The
       background is NOT fit, because I find this is generally unreliable, rather a median is determined in the 'outer' 10% of pixels (i.e. those
       at the end of the data piddle). The initial estimate of the FWHM is the length of the piddle/3, so it might fail if the piddle is too long.
       (This is non-robust anyway). Most data does just fine and this is a good default gaussian fitter.

       SEE ALSO: fitgauss1d() to fit centre as well.

BUGS

       May not converge for weird data, still pretty good!

AUTHOR

       This file copyright (C) 1999, Karl Glazebrook (kgb@aaoepp.aao.gov.au), Gaussian fitting code by Alison Offer (aro@aaocbn.aao.gov.au).  All
       rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details,
       see the file COPYING in the PDL distribution. If this file is separated from the PDL distribution, the copyright notice should be included
       in the file.

perl v5.14.2							    2012-05-30							     Gaussian(3pm)