roofit Directory Reference

Directory dependency graph for roofit:

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## Files | |

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] |

Addition and convolution: extended maximum likelihood fit with alternate range definition for observed number of events. | |

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 | |