Fit Tutorials

These tutorials illustrate the main fitting features. Their names are related to the aspect which is treated in the code.

Files
file	combinedFit.C
	Combined (simultaneous) fit of two histogram with separate functions and some common parameters
file	combinedFit.py
	Combined (simultaneous) fit of two histogram with separate functions and some common parameters
file	ConfidenceIntervals.C
	Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function
file	ErrorIntegral.C
	Estimate the error in the integral of a fitted function taking into account the errors in the parameters resulting from the fit.
file	exampleFit3D.C
	example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables
file	fit1.C
	Simple fitting example (1-d histogram with an interpreted function)
file	fit1.py
	Fit example.
file	fit2.C
	Fitting a 2-D histogram This tutorial illustrates :
file	fit2a.C
	Fitting a 2-D histogram (a variant) This tutorial illustrates :
file	fit2d.C
	Example illustrating how to fit a 2-d histogram of type y=f(x)
file	fit2dHist.C
	Example to fit two histograms at the same time via the Fitter class.
file	fitCircle.C
	Generate points distributed with some errors around a circle Fit a circle through the points and draw To run the script, do, eg
file	fitcont.C
	Example illustrating how to draw the n-sigma contour of a Minuit fit.
file	fitConvolution.C
	Tutorial for convolution of two functions
file	fitConvolution.py
	Tutorial for convolution of two functions
file	fitExclude.C
	Illustrates how to fit excluding points in a given range.
file	fithist.C
	Example of fit where the model is histogram + function
file	fitLinear.C
	Example of fitting with a linear function, using TLinearFitter This example is for a TGraphErrors, but it can also be used when fitting a histogram, a TGraph2D or a TMultiGraph
file	fitLinear2.C
	Fit a 5d hyperplane by n points, using the linear fitter directly
file	fitLinearRobust.C
	This tutorial shows how the least trimmed squares regression, included in the TLinearFitter class, can be used for fitting in cases when the data contains outliers.
file	fitMultiGraph.C
	fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors
file	fitNormSum.C
	Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:
file	fitNormSum.py
	Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:
file	fitpanel_playback.C
	This file will test all the transient frames (aka Dialog windows) displayed in the fitpanel, as the rest of the functionality is tried automatically with the UnitTest.C unit.
file	fitslicesy.C
	Illustrates how to use the TH1::FitSlicesY function It uses the TH2F histogram generated in macro hsimple.C It invokes FitSlicesY and draw the fitted "mean" and "sigma" in 2 sepate pads.
file	FittingDemo.C
	Example for fitting signal/background.
file	graph2dfit.C
	Fitting a TGraph2D
file	Ifit.C
	Example of a program to fit non-equidistant data points
file	langaus.C
	Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions)
file	line3Dfit.C
	Fitting of a TGraph2D with a 3D straight line
file	minuit2FitBench.C
	Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits.
file	minuit2FitBench2D.C
	Minuit2 fit 2D benchmark.
file	minuit2GausFit.C
	Perform fits with different configurations using Minuit2
file	multidimfit.C
	Multi-Dimensional Parametrisation and Fitting
file	multifit.C
	Fitting multiple functions to different ranges of a 1-D histogram Example showing how to fit in a sub-range of an histogram A histogram is created and filled with the bin contents and errors defined in the table below.
file	multifit.py
	Fitting multiple functions to different ranges of a 1-D histogram Example showing how to fit in a sub-range of an histogram A histogram is created and filled with the bin contents and errors defined in the table below.
file	myfit.C
	Get in memory an histogram from a root file and fit a user defined function.
file	NumericalMinimization.C
	Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers.
file	qa2.C
	Test generation of random numbers distributed according to a function defined by the user
file	TestBinomial.C
	Perform a fit to a set of data with binomial errors like those derived from the division of two histograms.
file	TwoHistoFit2D.C
	Example to fit two histograms at the same time.
file	vectorizedFit.C
	Tutorial for creating a Vectorized TF1 function using a formula expression and use it for fitting an histogram