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Reference Guide
RooFit Tutorials

These tutorials illustrate the main features of RooFit: the name of the examples and their short description help in figuring out their objective.

Files

file  rf101_basics.C
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Basic functionality: fitting, plotting, toy data generation on one-dimensional PDFs.
 
file  rf101_basics.py
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This tutorial illustrates the basic features of RooFit.
 
file  rf102_dataimport.C
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Basic functionality: importing data from ROOT TTrees and THx histograms.
 
file  rf102_dataimport.py
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'BASIC FUNCTIONALITY' RooFit tutorial macro #102 Importing data from ROOT TTrees and THx histograms
 
file  rf103_interprfuncs.C
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Basic functionality: interpreted functions and PDFs.
 
file  rf103_interprfuncs.py
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Basic functionality: interpreted functions and pdfs
 
file  rf104_classfactory.C
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Basic functionality: The class factory for functions and pdfs
 
file  rf104_classfactory.py
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Basic functionality: the class factory for functions and pdfs
 
file  rf105_funcbinding.C
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Basic functionality: binding ROOT math functions as RooFit functions and pdfs
 
file  rf105_funcbinding.py
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'BASIC FUNCTIONALITY' RooFit tutorial macro #105 Demonstration of binding ROOT Math functions as RooFit functions and pdfs
 
file  rf106_plotdecoration.C
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Basic functionality: adding boxes with parameters, statistics to RooPlots, decorating with arrows, text etc...
 
file  rf106_plotdecoration.py
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Basic functionality: adding boxes with parameters to RooPlots and decorating with arrows, etc...
 
file  rf107_plotstyles.C
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Basic functionality: various plotting styles of data, functions in a RooPlot
 
file  rf107_plotstyles.py
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Basic functionality: demonstration of various plotting styles of data, functions in a RooPlot
 
file  rf108_plotbinning.C
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Basic functionality: plotting unbinned data with alternate and variable binnings
 
file  rf108_plotbinning.py
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Basic functionality: plotting unbinned data with alternate and variable binnings
 
file  rf109_chi2residpull.C
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Basic functionality: Calculating chi^2 from histograms and curves in RooPlots, making histogram of residual and pull distributions
 
file  rf109_chi2residpull.py
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'BASIC FUNCTIONALITY' RooFit tutorial macro #109 Calculating chi^2 from histograms and curves in ROOT.RooPlots, making histogram of residual and pull distributions
 
file  rf110_normintegration.C
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Basic functionality: normalization and integration of pdfs, construction of cumulative distribution monodimensional functions
 
file  rf110_normintegration.py
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Basic functionality: examples on normalization and integration of pdfs, construction of cumulative distribution functions from monodimensional pdfs
 
file  rf111_derivatives.C
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Basic functionality: numerical 1st,2nd and 3rd order derivatives w.r.t.
 
file  rf111_derivatives.py
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Basic functionality: numerical 1st, and 3rd order derivatives w.r.t.
 
file  rf201_composite.C
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Addition and convolution: composite pdf with signal and background component
 
file  rf201_composite.py
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Addition and convolution: composite pdf with signal and background component
 
file  rf202_extendedmlfit.C
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Setting up an extended maximum likelihood fit.
 
file  rf202_extendedmlfit.py
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Addition and convolution: setting up an extended maximum likelihood fit
 
file  rf203_ranges.C
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Fitting and plotting in sub ranges.
 
file  rf203_ranges.py
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Addition and convolution: fitting and plotting in sub ranges
 
file  rf204a_extendedLikelihood.C
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Extended maximum likelihood fit in multiple ranges.
 
file  rf204a_extendedLikelihood.py
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Extended maximum likelihood fit in multiple ranges.
 
file  rf204b_extendedLikelihood_rangedFit.C
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This macro demonstrates how to set up a fit in two ranges for plain likelihoods and extended likelihoods.
 
file  rf204b_extendedLikelihood_rangedFit.py
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This macro demonstrates how to set up a fit in two ranges for plain likelihoods and extended likelihoods.
 
file  rf205_compplot.C
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Addition and convolution: options for plotting components of composite pdfs.
 
file  rf205_compplot.py
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Addition and convolution: options for plotting components of composite pdfs.
 
file  rf206_treevistools.C
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Addition and convolution: tools for visualization of RooAbsArg expression trees
 
file  rf206_treevistools.py
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Addition and convolution: tools for visualization of ROOT.RooAbsArg expression trees
 
file  rf207_comptools.C
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Addition and convolution: tools and utilities for manipulation of composite objects
 
file  rf207_comptools.py
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'ADDITION AND CONVOLUTION' RooFit tutorial macro #207 Tools and utilities for manipulation of composite objects
 
file  rf208_convolution.C
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Addition and convolution: one-dimensional numeric convolution
 
file  rf208_convolution.py
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'ADDITION AND CONVOLUTION' RooFit tutorial macro #208 One-dimensional numeric convolution (require ROOT to be compiled with –enable-fftw3)
 
file  rf209_anaconv.C
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Addition and convolution: decay function pdfs with optional B physics effects (mixing and CP violation)
 
file  rf209_anaconv.py
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Addition and convolution: decay function pdfs with optional B physics effects (mixing and CP violation) that can be analytically convolved with e.g.
 
file  rf210_angularconv.C
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Addition and convolution: convolution in cyclical angular observables theta
 
file  rf210_angularconv.py
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Convolution in cyclical angular observables theta, and construction of p.d.f in terms of trasnformed angular coordinates, e.g.
 
file  rf211_paramconv.C
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Addition and convolution: working with a pdf with a convolution operator in terms of a parameter
 
file  rf211_paramconv.py
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'ADDITION AND CONVOLUTION' RooFit tutorial macro #211 Working a with a p.d.f.
 
file  rf212_plottingInRanges_blinding.C
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Plot a PDF in disjunct ranges, and get normalisation right.
 
file  rf212_plottingInRanges_blinding.py
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Plot a PDF in disjunct ranges, and get normalisation right.
 
file  rf301_composition.C
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Multidimensional models: multi-dimensional pdfs through composition e.g.
 
file  rf301_composition.py
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Multidimensional models: multi-dimensional pdfs through composition, e.g.
 
file  rf302_utilfuncs.C
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Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
 
file  rf302_utilfuncs.py
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Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
 
file  rf303_conditional.C
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Multidimensional models: use of tailored pdf as conditional pdfs.s
 
file  rf303_conditional.py
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'MULTIDIMENSIONAL MODELS' RooFit tutorial macro #303 Use of tailored p.d.f as conditional p.d.fs.s
 
file  rf304_uncorrprod.C
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Multidimensional models: simple uncorrelated multi-dimensional pdfs
 
file  rf304_uncorrprod.py
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Multidimensional models: simple uncorrelated multi-dimensional pdfs
 
file  rf305_condcorrprod.C
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Multidimensional models: multi-dimensional pdfs with conditional pdfs in product
 
file  rf305_condcorrprod.py
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Multidimensional models: multi-dimensional pdfs with conditional pdfs in product
 
file  rf306_condpereventerrors.C
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Multidimensional models: conditional pdf with per-event errors
 
file  rf306_condpereventerrors.py
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Multidimensional models: complete example with use of conditional pdf with per-event errors
 
file  rf307_fullpereventerrors.C
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Multidimensional models: full pdf with per-event errors
 
file  rf307_fullpereventerrors.py
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Multidimensional models: usage of full pdf with per-event errors
 
file  rf308_normintegration2d.C
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Multidimensional models: normalization and integration of pdfs, construction of cumulative distribution functions from pdfs in two dimensions
 
file  rf308_normintegration2d.py
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Multidimensional models: normalization and integration of pdfs, construction of cumulative distribution functions from pdfs in two dimensions
 
file  rf309_ndimplot.C
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Multidimensional models: making 2/3 dimensional plots of pdfs and datasets
 
file  rf309_ndimplot.py
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Multidimensional models: making 2/3 dimensional plots of pdfs and datasets
 
file  rf310_sliceplot.C
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Multidimensional models: projecting pdf and data slices in discrete observables
 
file  rf310_sliceplot.py
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Multidimensional models: projecting pdf and data slices in discrete observables
 
file  rf311_rangeplot.C
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Multidimensional models: projecting pdf and data ranges in continuous observables
 
file  rf311_rangeplot.py
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Multidimensional models: projecting pdf and data ranges in continuous observables
 
file  rf312_multirangefit.C
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Multidimensional models: performing fits in multiple (disjoint) ranges in one or more dimensions
 
file  rf312_multirangefit.py
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Multidimensional models: performing fits in multiple (disjoint) ranges in one or more dimensions
 
file  rf313_paramranges.C
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Multidimensional models: working with parametrized ranges to define non-rectangular regions for fitting and integration
 
file  rf313_paramranges.py
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Multidimensional models: working with parameterized ranges to define non-rectangular regions for fitting and integration
 
file  rf314_paramfitrange.C
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Multidimensional models: working with parametrized ranges in a fit.
 
file  rf314_paramfitrange.py
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Multidimensional models: working with parameterized ranges in a fit.
 
file  rf315_projectpdf.C
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Multidimensional models: marginizalization of multi-dimensional pdfs through integration
 
file  rf315_projectpdf.py
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Multidimensional models: marginizalization of multi-dimensional pdfs through integration
 
file  rf316_llratioplot.C
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Multidimensional models: using the likelihood ratio technique to construct a signal enhanced one-dimensional projection of a multi-dimensional pdf
 
file  rf316_llratioplot.py
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Multidimensional models: using the likelihood ratio techique to construct a signal enhanced one-dimensional projection of a multi-dimensional pdf
 
file  rf401_importttreethx.C
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Data and categories: advanced options for importing data from ROOT TTree and THx histograms
 
file  rf401_importttreethx.py
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file  rf402_datahandling.C
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Data and categories: tools for manipulation of (un)binned datasets
 
file  rf402_datahandling.py
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Data and categories: tools for manipulation of (un)binned datasets
 
file  rf403_weightedevts.C
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Data and categories: using weights in unbinned datasets
 
file  rf403_weightedevts.py
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file  rf404_categories.C
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Data and categories: working with RooCategory objects to describe discrete variables
 
file  rf404_categories.py
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Data and categories: working with ROOT.RooCategory objects to describe discrete variables
 
file  rf405_realtocatfuncs.C
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Data and categories: demonstration of real-->discrete mapping functions
 
file  rf405_realtocatfuncs.py
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Data and categories: demonstration of real-discrete mapping functions
 
file  rf406_cattocatfuncs.C
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Data and categories: demonstration of discrete-->discrete (invertible) functions
 
file  rf406_cattocatfuncs.py
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Data and categories: demonstration of discrete-discrete (invertable) functions
 
file  rf407_latextables.C
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Data and categories: latex printing of lists and sets of RooArgSets
 
file  rf407_latextables.py
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Data and categories: latex printing of lists and sets of RooArgSets
 
file  rf408_RDataFrameToRooFit.C
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Fill RooDataSet/RooDataHist in RDataFrame.
 
file  rf408_RDataFrameToRooFit.py
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Fill RooDataSet/RooDataHist in RDataFrame.
 
file  rf409_NumPyPandasToRooFit.py
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Convert between NumPy arrays or Pandas DataFrames and RooDataSets.
 
file  rf501_simultaneouspdf.C
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Organisation and simultaneous fits: using simultaneous pdfs to describe simultaneous fits to multiple datasets
 
file  rf501_simultaneouspdf.py
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Organization and simultaneous fits: using simultaneous pdfs to describe simultaneous fits to multiple datasets
 
file  rf502_wspacewrite.C
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Organisation and simultaneous fits: creating and writing a workspace
 
file  rf502_wspacewrite.py
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Organization and simultaneous fits: creating and writing a workspace
 
file  rf503_wspaceread.C
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Organisation and simultaneous fits: reading and using a workspace
 
file  rf503_wspaceread.py
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file  rf504_simwstool.C
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Organisation and simultaneous fits: using RooSimWSTool to construct a simultaneous pdf that is built of variations of an input pdf
 
file  rf504_simwstool.py
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Organization and simultaneous fits: using RooSimWSTool to construct a simultaneous pdf that is built of variations of an input pdf
 
file  rf505_asciicfg.C
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Organisation and simultaneous fits: reading and writing ASCII configuration files
 
file  rf505_asciicfg.py
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Organization and simultaneous fits: reading and writing ASCII configuration files
 
file  rf506_msgservice.C
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Organisation and simultaneous fits: tuning and customizing the RooFit message logging facility
 
file  rf506_msgservice.py
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Organization and simultaneous fits: tuning and customizing the ROOT.RooFit message logging facility
 
file  rf507_debugtools.C
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Organization and simultaneous fits: RooFit memory tracing debug tool
 
file  rf507_debugtools.py
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Organization and simultaneous fits: RooFit memory tracing debug tool
 
file  rf508_listsetmanip.C
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Organization and simultaneous fits: RooArgSet and RooArgList tools and tricks
 
file  rf508_listsetmanip.py
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file  rf509_wsinteractive.C
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Organization and simultaneous fits: easy interactive access to workspace contents - CINT to CLING code migration
 
file  rf509_wsinteractive.py
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Organization and simultaneous fits: easy interactive access to workspace contents - CINT to CLING code migration
 
file  rf510_wsnamedsets.C
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Organization and simultaneous fits: working with named parameter sets and parameter snapshots in workspaces
 
file  rf510_wsnamedsets.py
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file  rf511_wsfactory_basic.C
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Organization and simultaneous fits: basic use of the 'object factory' associated with a workspace to rapidly build pdfs functions and their parameter components
 
file  rf511_wsfactory_basic.py
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Organization and simultaneous fits: basic use of the 'object factory' associated with a workspace to rapidly build pdfs functions and their parameter components
 
file  rf512_wsfactory_oper.C
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Organization and simultaneous fits: operator expressions and expression-based basic pdfs in the workspace factory syntax
 
file  rf512_wsfactory_oper.py
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file  rf513_wsfactory_tools.C
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Organization and simultaneous fits: RooCustomizer and RooSimWSTool interface in factory workspace tool in a complex standalone B physics example
 
file  rf513_wsfactory_tools.py
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Organization and simultaneous fits: illustration use of ROOT.RooCustomizer and ROOT.RooSimWSTool interface in factory workspace tool in a complex standalone B physics example
 
file  rf514_RooCustomizer.C
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Using the RooCustomizer to create multiple PDFs that share a lot of properties, but have unique parameters for each category.
 
file  rf514_RooCustomizer.py
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Using the RooCustomizer to create multiple PDFs that share a lot of properties, but have unique parameters for each category.
 
file  rf515_hfJSON.py
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Code HistFactory Models in JSON.
 
file  rf601_intminuit.C
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Likelihood and minimization: interactive minimization with MINUIT
 
file  rf601_intminuit.py
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file  rf602_chi2fit.C
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Likelihood and minimization: setting up a chi^2 fit to a binned dataset
 
file  rf602_chi2fit.py
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file  rf603_multicpu.C
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Likelihood and minimization: setting up a multi-core parallelized unbinned maximum likelihood fit
 
file  rf603_multicpu.py
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Likelihood and minimization: setting up a multi-core parallelized unbinned maximum likelihood fit
 
file  rf604_constraints.C
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Likelihood and minimization: fitting with constraints
 
file  rf604_constraints.py
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Likelihood and minimization: fitting with constraints
 
file  rf605_profilell.C
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Likelihood and minimization: working with the profile likelihood estimator
 
file  rf605_profilell.py
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file  rf606_nllerrorhandling.C
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Likelihood and minimization: understanding and customizing error handling in likelihood evaluations
 
file  rf606_nllerrorhandling.py
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file  rf607_fitresult.C
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Likelihood and minimization: demonstration of options of the RooFitResult class
 
file  rf607_fitresult.py
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Likelihood and minimization: demonstration of options of the RooFitResult class
 
file  rf608_fitresultaspdf.C
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Likelihood and minimization: representing the parabolic approximation of the fit as a multi-variate Gaussian on the parameters of the fitted pdf
 
file  rf608_fitresultaspdf.py
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Likelihood and minimization: representing the parabolic approximation of the fit as a multi-variate Gaussian on the parameters of the fitted pdf
 
file  rf609_xychi2fit.C
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Likelihood and minimization: setting up a chi^2 fit to an unbinned dataset with X,Y,err(Y) values (and optionally err(X) values)
 
file  rf609_xychi2fit.py
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Likelihood and minimization: setting up a chi^2 fit to an unbinned dataset with X,Y,err(Y) values (and optionally err(X) values)
 
file  rf610_visualerror.C
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Likelihood and minimization: visualization of errors from a covariance matrix
 
file  rf610_visualerror.py
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Likelihood and minimization: visualization of errors from a covariance matrix
 
file  rf611_weightedfits.C
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Likelihood and minimization: Parameter uncertainties for weighted unbinned ML fits
 
file  rf612_recoverFromInvalidParameters.C
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Likelihood and minimization: Recover from regions where the function is not defined.
 
file  rf612_recoverFromInvalidParameters.py
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Likelihood and minimization: Recover from regions where the function is not defined.
 
file  rf613_global_observables.C
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This tutorial explains the concept of global observables in RooFit, and showcases how their values can be stored either in the model or in the dataset.
 
file  rf613_global_observables.py
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This tutorial explains the concept of global observables in RooFit, and showcases how their values can be stored either in the model or in the dataset.
 
file  rf701_efficiencyfit.C
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Special pdf's: unbinned maximum likelihood fit of an efficiency eff(x) function
 
file  rf701_efficiencyfit.py
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Special pdf's: unbinned maximum likelihood fit of an efficiency eff(x) function to a dataset D(x,cut), cut is a category encoding a selection, which the efficiency as function of x should be described by eff(x)
 
file  rf702_efficiencyfit_2D.C
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Special pdf's: unbinned maximum likelihood fit of an efficiency eff(x) function to a dataset D(x,cut), cut is a category encoding a selection whose efficiency as function of x should be described by eff(x)
 
file  rf702_efficiencyfit_2D.py
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Special pdf's: unbinned maximum likelihood fit of an efficiency eff(x) function to a dataset D(x,cut), cut is a category encoding a selection whose efficiency as function of x should be described by eff(x)
 
file  rf703_effpdfprod.C
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Special pdf's: using a product of an (acceptance) efficiency and a pdf as pdf
 
file  rf703_effpdfprod.py
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Special pdf's: using a product of an (acceptance) efficiency and a pdf as pdf
 
file  rf704_amplitudefit.C
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Special pdf's: using a pdf defined by a sum of real-valued amplitude components
 
file  rf704_amplitudefit.py
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Special pdf's: using a pdf defined by a sum of real-valued amplitude components
 
file  rf705_linearmorph.C
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Special pdf's: linear interpolation between pdf shapes using the 'Alex Read' algorithm
 
file  rf705_linearmorph.py
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file  rf706_histpdf.C
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Special pdf's: histogram-based pdfs and functions
 
file  rf706_histpdf.py
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Special pdf's: histogram based pdfs and functions
 
file  rf707_kernelestimation.C
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Special pdf's: using non-parametric (multi-dimensional) kernel estimation pdfs
 
file  rf707_kernelestimation.py
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Special pdf's: using non-parametric (multi-dimensional) kernel estimation pdfs
 
file  rf708_bphysics.C
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Special pdf's: special decay pdf for B physics with mixing and/or CP violation
 
file  rf708_bphysics.py
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Special pdf's: special decay pdf for B physics with mixing and/or CP violation
 
file  rf709_BarlowBeeston.C
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Implementing the Barlow-Beeston method for taking into account the statistical uncertainty of a Monte-Carlo fit template.
 
file  rf709_BarlowBeeston.py
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Implementing the Barlow-Beeston method for taking into account the statistical uncertainty of a Monte-Carlo fit template.
 
file  rf710_roopoly.C
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Taylor expansion of RooFit functions using the taylorExpand function with RooPolyFunc
 
file  rf710_roopoly.py
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Taylor expansion of RooFit functions using the taylorExpand function
 
file  rf711_lagrangianmorph.C
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Morphing effective field theory distributions with RooLagrangianMorphFunc A morphing function as a function of one coefficient is setup and can be used to obtain the distribution for any value of the coefficient.
 
file  rf711_lagrangianmorph.py
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Morphing effective field theory distributions with RooLagrangianMorphFunc.
 
file  rf712_lagrangianmorphfit.C
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Performing a simple fit with RooLagrangianMorphFunc.
 
file  rf712_lagrangianmorphfit.py
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Performing a simple fit with RooLagrangianMorphFunc
 
file  rf801_mcstudy.C
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Validation and MC studies: toy Monte Carlo study that perform cycles of event generation and fitting
 
file  rf801_mcstudy.py
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Validation and MC studies: toy Monte Carlo study that perform cycles of event generation and fitting
 
file  rf802_mcstudy_addons.C
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Validation and MC studies: RooMCStudy - using separate fit and generator models, using the chi^2 calculator model Running a biased fit model against an optimal fit.
 
file  rf803_mcstudy_addons2.C
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Validation and MC studies: RooMCStudy - Using the randomizer and profile likelihood add-on models
 
file  rf804_mcstudy_constr.C
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Validation and MC studies: using RooMCStudy on models with constrains
 
file  rf901_numintconfig.C
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Numeric algorithm tuning: configuration and customization of how numeric (partial) integrals are executed
 
file  rf901_numintconfig.py
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Numeric algorithm tuning: configuration and customization of how numeric (partial) integrals are executed
 
file  rf902_numgenconfig.C
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Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific pdfs are executed
 
file  rf902_numgenconfig.py
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Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific pdfs are executed
 
file  rf903_numintcache.C
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Numeric algorithm tuning: caching of slow numeric integrals and parameterization of slow numeric integrals
 
file  rf903_numintcache.py
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Numeric algorithm tuning: caching of slow numeric integrals and parameterizations of slow numeric integrals