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Reference Guide
 
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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
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Combined (simultaneous) fit of two histogram with separate functions and some common parameters
 
file  combinedFit.py
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Combined (simultaneous) fit of two histogram with separate functions and some common parameters
 
file  ConfidenceIntervals.C
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Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function
 
file  ErrorIntegral.C
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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
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example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables
 
file  fit1.C
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Simple fitting example (1-d histogram with an interpreted function)
 
file  fit2.C
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Fitting a 2-D histogram This tutorial illustrates :
 
file  fit2a.C
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Fitting a 2-D histogram (a variant) This tutorial illustrates :
 
file  fit2d.C
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Example illustrating how to fit a 2-d histogram of type y=f(x)
 
file  fit2dHist.C
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Example to fit two histograms at the same time via the Fitter class.
 
file  fitCircle.C
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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
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Example illustrating how to draw the n-sigma contour of a Minuit fit.
 
file  fitConvolution.C
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Tutorial for convolution of two functions
 
file  fitConvolution.py
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Tutorial for convolution of two functions
 
file  fitExclude.C
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Illustrates how to fit excluding points in a given range.
 
file  fithist.C
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Example of fit where the model is histogram + function
 
file  fitLinear.C
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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
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Fit a 5d hyperplane by n points, using the linear fitter directly
 
file  fitLinearRobust.C
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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
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fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors
 
file  fitNormSum.C
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Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:
 
file  fitNormSum.py
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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
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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
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Example for fitting signal/background.
 
file  graph2dfit.C
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Fitting a TGraph2D
 
file  Ifit.C
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Example of a program to fit non-equidistant data points
 
file  langaus.C
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Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions)
 
file  line3Dfit.C
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Fitting of a TGraph2D with a 3D straight line
 
file  minuit2FitBench.C
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Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits.
 
file  minuit2FitBench2D.C
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Minuit2 fit 2D benchmark.
 
file  minuit2GausFit.C
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Perform fits with different configurations using Minuit2
 
file  multidimfit.C
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Multi-Dimensional Parametrisation and Fitting
 
file  multifit.C
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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
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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
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Get in memory an histogram from a root file and fit a user defined function.
 
file  NumericalMinimization.C
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Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers.
 
file  qa2.C
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Test generation of random numbers distributed according to a function defined by the user
 
file  TestBinomial.C
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Perform a fit to a set of data with binomial errors like those derived from the division of two histograms.
 
file  TwoHistoFit2D.C
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Example to fit two histograms at the same time.
 
file  vectorizedFit.C
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Tutorial for creating a Vectorized TF1 function using a formula expression and use it for fitting an histogram