|
| file | rf101_basics.C [code] |
| |   Basic functionality: fitting, plotting, toy data generation on one-dimensional PDFs.
|
| |
| file | rf101_basics.py [code] |
| | This tutorial illustrates the basic features of RooFit.
|
| |
| file | rf102_dataimport.C [code] |
| | Basic functionality: importing data from ROOT TTrees and THx histograms.
|
| |
| file | rf103_interprfuncs.C [code] |
| | Basic functionality: interpreted functions and PDFs.
|
| |
| file | rf103_interprfuncs.py [code] |
| | Basic functionality: interpreted functions and pdfs
|
| |
| file | rf104_classfactory.C [code] |
| | Basic functionality: The class factory for functions and pdfs
|
| |
| file | rf104_classfactory.py [code] |
| | Basic functionality: the class factory for functions and pdfs
|
| |
| file | rf105_funcbinding.C [code] |
| | Basic functionality: binding ROOT math functions as RooFit functions and pdfs
|
| |
| file | rf106_plotdecoration.C [code] |
| | Basic functionality: adding boxes with parameters, statistics to RooPlots, decorating with arrows, text etc...
|
| |
| file | rf106_plotdecoration.py [code] |
| | Basic functionality: adding boxes with parameters to RooPlots and decorating with arrows, etc...
|
| |
| file | rf107_plotstyles.C [code] |
| | Basic functionality: various plotting styles of data, functions in a RooPlot
|
| |
| file | rf107_plotstyles.py [code] |
| | Basic functionality: demonstration of various plotting styles of data, functions in a RooPlot
|
| |
| file | rf108_plotbinning.C [code] |
| | Basic functionality: plotting unbinned data with alternate and variable binnings
|
| |
| file | rf108_plotbinning.py [code] |
| | Basic functionality: plotting unbinned data with alternate and variable binnings
|
| |
| file | rf109_chi2residpull.C [code] |
| | Basic functionality: Calculating chi^2 from histograms and curves in RooPlots, making histogram of residual and pull distributions
|
| |
| file | rf110_normintegration.C [code] |
| | Basic functionality: normalization and integration of pdfs, construction of cumulative distribution monodimensional functions
|
| |
| file | rf110_normintegration.py [code] |
| | Basic functionality: examples on normalization and integration of pdfs, construction of cumulative distribution functions from monodimensional pdfs
|
| |
| file | rf111_derivatives.C [code] |
| | Basic functionality: numerical 1st,2nd and 3rd order derivatives w.r.t.
|
| |
| file | rf111_derivatives.py [code] |
| | Basic functionality: numerical 1st, and 3rd order derivatives w.r.t.
|
| |
| file | rf201_composite.C [code] |
| | Addition and convolution: composite pdf with signal and background component
|
| |
| file | rf201_composite.py [code] |
| | Addition and convolution: composite pdf with signal and background component
|
| |
| file | rf202_extendedmlfit.C [code] |
| | Setting up an extended maximum likelihood fit.
|
| |
| file | rf202_extendedmlfit.py [code] |
| | Addition and convolution: setting up an extended maximum likelihood fit
|
| |
| file | rf203_ranges.C [code] |
| | Fitting and plotting in sub ranges.
|
| |
| file | rf203_ranges.py [code] |
| | Addition and convolution: fitting and plotting in sub ranges
|
| |
| file | rf204_extrangefit.py [code] |
| |
| file | rf204a_extendedLikelihood.C [code] |
| | Extended maximum likelihood fit in multiple ranges.
|
| |
| file | rf204b_extendedLikelihood_rangedFit.C [code] |
| | This macro demonstrates how to set up a fit in two ranges such that it does not only fit the shapes in each region, but also takes into account the relative normalization of the two.
|
| |
| file | rf205_compplot.C [code] |
| | Addition and convolution: options for plotting components of composite pdfs.
|
| |
| file | rf205_compplot.py [code] |
| | Addition and convolution: options for plotting components of composite pdfs.
|
| |
| file | rf206_treevistools.C [code] |
| | Addition and convolution: tools for visualization of RooAbsArg expression trees
|
| |
| file | rf206_treevistools.py [code] |
| | Addition and convolution: tools for visualization of ROOT.RooAbsArg expression trees
|
| |
| file | rf207_comptools.C [code] |
| | Addition and convolution: tools and utilities for manipulation of composite objects
|
| |
| file | rf208_convolution.C [code] |
| | Addition and convolution: one-dimensional numeric convolution
|
| |
| file | rf209_anaconv.C [code] |
| | Addition and convolution: decay function pdfs with optional B physics effects (mixing and CP violation)
|
| |
| file | rf209_anaconv.py [code] |
| | 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 [code] |
| | Addition and convolution: convolution in cyclical angular observables theta
|
| |
| file | rf211_paramconv.C [code] |
| | Addition and convolution: working with a pdf with a convolution operator in terms of a parameter
|
| |
| file | rf212_plottingInRanges_blinding.C [code] |
| | Plot a PDF in disjunct ranges, and get normalisation right.
|
| |
| file | rf301_composition.C [code] |
| | Multidimensional models: multi-dimensional pdfs through composition e.g.
|
| |
| file | rf301_composition.py [code] |
| | Multidimensional models: multi-dimensional pdfs through composition, e.g.
|
| |
| file | rf302_utilfuncs.C [code] |
| | Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
|
| |
| file | rf302_utilfuncs.py [code] |
| | Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
|
| |
| file | rf303_conditional.C [code] |
| | Multidimensional models: use of tailored pdf as conditional pdfs.s
|
| |
| file | rf304_uncorrprod.C [code] |
| | Multidimensional models: simple uncorrelated multi-dimensional pdfs
|
| |
| file | rf304_uncorrprod.py [code] |
| | Multidimensional models: simple uncorrelated multi-dimensional pdfs
|
| |
| file | rf305_condcorrprod.C [code] |
| | Multidimensional models: multi-dimensional pdfs with conditional pdfs in product
|
| |
| file | rf305_condcorrprod.py [code] |
| | Multidimensional models: multi-dimensional pdfs with conditional pdfs in product
|
| |
| file | rf306_condpereventerrors.C [code] |
| | Multidimensional models: conditional pdf with per-event errors
|
| |
| file | rf306_condpereventerrors.py [code] |
| | Multidimensional models: complete example with use of conditional pdf with per-event errors
|
| |
| file | rf307_fullpereventerrors.C [code] |
| | Multidimensional models: full pdf with per-event errors
|
| |
| file | rf307_fullpereventerrors.py [code] |
| | Multidimensional models: usage of full pdf with per-event errors
|
| |
| file | rf308_normintegration2d.C [code] |
| | Multidimensional models: normalization and integration of pdfs, construction of cumulative distribution functions from pdfs in two dimensions
|
| |
| file | rf308_normintegration2d.py [code] |
| | Multidimensional models: normalization and integration of pdfs, construction of cumulative distribution functions from pdfs in two dimensions
|
| |
| file | rf309_ndimplot.C [code] |
| | Multidimensional models: making 2/3 dimensional plots of pdfs and datasets
|
| |
| file | rf309_ndimplot.py [code] |
| | Multidimensional models: making 2/3 dimensional plots of pdfs and datasets
|
| |
| file | rf310_sliceplot.C [code] |
| | Multidimensional models: projecting pdf and data slices in discrete observables
|
| |
| file | rf310_sliceplot.py [code] |
| | Multidimensional models: projecting pdf and data slices in discrete observables
|
| |
| file | rf311_rangeplot.C [code] |
| | Multidimensional models: projecting pdf and data ranges in continuous observables
|
| |
| file | rf311_rangeplot.py [code] |
| | Multidimensional models: projecting pdf and data ranges in continuous observables
|
| |
| file | rf312_multirangefit.C [code] |
| | Multidimensional models: performing fits in multiple (disjoint) ranges in one or more dimensions
|
| |
| file | rf312_multirangefit.py [code] |
| | Multidimensional models: performing fits in multiple (disjoint) ranges in one or more dimensions
|
| |
| file | rf313_paramranges.C [code] |
| | Multidimensional models: working with parametrized ranges to define non-rectangular regions for fitting and integration
|
| |
| file | rf313_paramranges.py [code] |
| | Multidimensional models: working with parameterized ranges to define non-rectangular regions for fitting and integration
|
| |
| file | rf314_paramfitrange.C [code] |
| | Multidimensional models: working with parametrized ranges in a fit.
|
| |
| file | rf314_paramfitrange.py [code] |
| | Multidimensional models: working with parameterized ranges in a fit.
|
| |
| file | rf315_projectpdf.C [code] |
| | Multidimensional models: marginizalization of multi-dimensional pdfs through integration
|
| |
| file | rf315_projectpdf.py [code] |
| | Multidimensional models: marginizalization of multi-dimensional pdfs through integration
|
| |
| file | rf316_llratioplot.C [code] |
| | Multidimensional models: using the likelihood ratio technique to construct a signal enhanced one-dimensional projection of a multi-dimensional pdf
|
| |
| file | rf316_llratioplot.py [code] |
| | Multidimensional models: using the likelihood ratio techique to construct a signal enhanced one-dimensional projection of a multi-dimensional pdf
|
| |
| file | rf401_importttreethx.C [code] |
| | Data and categories: advanced options for importing data from ROOT TTree and THx histograms
|
| |
| file | rf402_datahandling.C [code] |
| | Data and categories: tools for manipulation of (un)binned datasets
|
| |
| file | rf402_datahandling.py [code] |
| | Data and categories: tools for manipulation of (un)binned datasets
|
| |
| file | rf403_weightedevts.C [code] |
| | Data and categories: using weights in unbinned datasets
|
| |
| file | rf404_categories.C [code] |
| | Data and categories: working with RooCategory objects to describe discrete variables
|
| |
| file | rf404_categories.py [code] |
| | Data and categories: working with ROOT.RooCategory objects to describe discrete variables
|
| |
| file | rf405_realtocatfuncs.C [code] |
| | Data and categories: demonstration of real-->discrete mapping functions
|
| |
| file | rf405_realtocatfuncs.py [code] |
| | Data and categories: demonstration of real-discrete mapping functions
|
| |
| file | rf406_cattocatfuncs.C [code] |
| | Data and categories: demonstration of discrete-->discrete (invertible) functions
|
| |
| file | rf406_cattocatfuncs.py [code] |
| | Data and categories: demonstration of discrete-discrete (invertable) functions
|
| |
| file | rf407_latextables.C [code] |
| | Data and categories: latex printing of lists and sets of RooArgSets
|
| |
| file | rf407_latextables.py [code] |
| | Data and categories: latex printing of lists and sets of RooArgSets
|
| |
| file | rf501_simultaneouspdf.C [code] |
| | Organisation and simultaneous fits: using simultaneous pdfs to describe simultaneous fits to multiple datasets
|
| |
| file | rf501_simultaneouspdf.py [code] |
| | Organization and simultaneous fits: using simultaneous pdfs to describe simultaneous fits to multiple datasets
|
| |
| file | rf502_wspacewrite.C [code] |
| | Organisation and simultaneous fits: creating and writing a workspace
|
| |
| file | rf502_wspacewrite.py [code] |
| | Organization and simultaneous fits: creating and writing a workspace
|
| |
| file | rf503_wspaceread.C [code] |
| | Organisation and simultaneous fits: reading and using a workspace
|
| |
| file | rf504_simwstool.C [code] |
| | Organisation and simultaneous fits: using RooSimWSTool to construct a simultaneous pdf that is built of variations of an input pdf
|
| |
| file | rf504_simwstool.py [code] |
| | Organization and simultaneous fits: using RooSimWSTool to construct a simultaneous pdf that is built of variations of an input pdf
|
| |
| file | rf505_asciicfg.C [code] |
| | Organisation and simultaneous fits: reading and writing ASCII configuration files
|
| |
| file | rf505_asciicfg.py [code] |
| | Organization and simultaneous fits: reading and writing ASCII configuration files
|
| |
| file | rf506_msgservice.C [code] |
| | Organisation and simultaneous fits: tuning and customizing the RooFit message logging facility
|
| |
| file | rf506_msgservice.py [code] |
| | Organization and simultaneous fits: tuning and customizing the ROOT.RooFit message logging facility
|
| |
| file | rf507_debugtools.C [code] |
| | Organization and simultaneous fits: RooFit memory tracing debug tool
|
| |
| file | rf507_debugtools.py [code] |
| | Organization and simultaneous fits: RooFit memory tracing debug tool
|
| |
| file | rf508_listsetmanip.C [code] |
| | Organization and simultaneous fits: RooArgSet and RooArgList tools and tricks
|
| |
| file | rf509_wsinteractive.C [code] |
| | Organization and simultaneous fits: easy interactive access to workspace contents - CINT to CLING code migration
|
| |
| file | rf509_wsinteractive.py [code] |
| | Organization and simultaneous fits: easy interactive access to workspace contents - CINT to CLING code migration
|
| |
| file | rf510_wsnamedsets.C [code] |
| | Organization and simultaneous fits: working with named parameter sets and parameter snapshots in workspaces
|
| |
| file | rf511_wsfactory_basic.C [code] |
| | 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 [code] |
| | 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 [code] |
| | Organization and simultaneous fits: operator expressions and expression-based basic pdfs in the workspace factory syntax
|
| |
| file | rf513_wsfactory_tools.C [code] |
| | Organization and simultaneous fits: RooCustomizer and RooSimWSTool interface in factory workspace tool in a complex standalone B physics example
|
| |
| file | rf513_wsfactory_tools.py [code] |
| | 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 [code] |
| | Using the RooCustomizer to create multiple PDFs that share a lot of properties, but have unique parameters for each category.
|
| |
| file | rf601_intminuit.C [code] |
| | Likelihood and minimization: interactive minimization with MINUIT
|
| |
| file | rf602_chi2fit.C [code] |
| | Likelihood and minimization: setting up a chi^2 fit to a binned dataset
|
| |
| file | rf603_multicpu.C [code] |
| | Likelihood and minimization: setting up a multi-core parallelized unbinned maximum likelihood fit
|
| |
| file | rf603_multicpu.py [code] |
| | Likelihood and minimization: setting up a multi-core parallelized unbinned maximum likelihood fit
|
| |
| file | rf604_constraints.C [code] |
| | Likelihood and minimization: fitting with constraints
|
| |
| file | rf604_constraints.py [code] |
| | Likelihood and minimization: fitting with constraints
|
| |
| file | rf605_profilell.C [code] |
| | Likelihood and minimization: working with the profile likelihood estimator
|
| |
| file | rf606_nllerrorhandling.C [code] |
| | Likelihood and minimization: understanding and customizing error handling in likelihood evaluations
|
| |
| file | rf607_fitresult.C [code] |
| | Likelihood and minimization: demonstration of options of the RooFitResult class
|
| |
| file | rf607_fitresult.py [code] |
| | Likelihood and minimization: demonstration of options of the RooFitResult class
|
| |
| file | rf608_fitresultaspdf.C [code] |
| | 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 [code] |
| | 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 [code] |
| | 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 [code] |
| | 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 [code] |
| | Likelihood and minimization: visualization of errors from a covariance matrix
|
| |
| file | rf610_visualerror.py [code] |
| | Likelihood and minimization: visualization of errors from a covariance matrix
|
| |
| file | rf611_weightedfits.C [code] |
| | Likelihood and minimization: Parameter uncertainties for weighted unbinned ML fits
|
| |
| file | rf612_recoverFromInvalidParameters.C [code] |
| | Likelihood and minimization: Recover from regions where the function is not defined.
|
| |
| file | rf701_efficiencyfit.C [code] |
| | Special pdf's: unbinned maximum likelihood fit of an efficiency eff(x) function
|
| |
| file | rf701_efficiencyfit.py [code] |
| | 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 [code] |
| | 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 [code] |
| | 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 [code] |
| | Special pdf's: using a product of an (acceptance) efficiency and a pdf as pdf
|
| |
| file | rf703_effpdfprod.py [code] |
| | Special pdf's: using a product of an (acceptance) efficiency and a pdf as pdf
|
| |
| file | rf704_amplitudefit.C [code] |
| | Special pdf's: using a pdf defined by a sum of real-valued amplitude components
|
| |
| file | rf704_amplitudefit.py [code] |
| | Special pdf's: using a pdf defined by a sum of real-valued amplitude components
|
| |
| file | rf705_linearmorph.C [code] |
| | Special pdf's: linear interpolation between pdf shapes using the 'Alex Read' algorithm
|
| |
| file | rf706_histpdf.C [code] |
| | Special pdf's: histogram-based pdfs and functions
|
| |
| file | rf706_histpdf.py [code] |
| | Special pdf's: histogram based pdfs and functions
|
| |
| file | rf707_kernelestimation.C [code] |
| | Special pdf's: using non-parametric (multi-dimensional) kernel estimation pdfs
|
| |
| file | rf707_kernelestimation.py [code] |
| | Special pdf's: using non-parametric (multi-dimensional) kernel estimation pdfs
|
| |
| file | rf708_bphysics.C [code] |
| | Special pdf's: special decay pdf for B physics with mixing and/or CP violation
|
| |
| file | rf708_bphysics.py [code] |
| | Special pdf's: special decay pdf for B physics with mixing and/or CP violation
|
| |
| file | rf709_BarlowBeeston.C [code] |
| | Implementing the Barlow-Beeston method for taking into account the statistical uncertainty of a Monte-Carlo fit template.
|
| |
| file | rf801_mcstudy.C [code] |
| | Validation and MC studies: toy Monte Carlo study that perform cycles of event generation and fitting
|
| |
| file | rf801_mcstudy.py [code] |
| | Validation and MC studies: toy Monte Carlo study that perform cycles of event generation and fitting
|
| |
| file | rf802_mcstudy_addons.C [code] |
| | 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 [code] |
| | Validation and MC studies: RooMCStudy - Using the randomizer and profile likelihood add-on models
|
| |
| file | rf804_mcstudy_constr.C [code] |
| | Validation and MC studies: using RooMCStudy on models with constrains
|
| |
| file | rf901_numintconfig.C [code] |
| | Numeric algorithm tuning: configuration and customization of how numeric (partial) integrals are executed
|
| |
| file | rf901_numintconfig.py [code] |
| | Numeric algorithm tuning: configuration and customization of how numeric (partial) integrals are executed
|
| |
| file | rf902_numgenconfig.C [code] |
| | Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific pdfs are executed
|
| |
| file | rf902_numgenconfig.py [code] |
| | Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific pdfs are executed
|
| |
| file | rf903_numintcache.C [code] |
| | Numeric algorithm tuning: caching of slow numeric integrals and parameterization of slow numeric integrals
|
| |
| file | rf903_numintcache.py [code] |
| | Numeric algorithm tuning: caching of slow numeric integrals and parameterizations of slow numeric integrals
|
| |
