|
file | rf101_basics.C |
| Basic functionality: fitting, plotting, toy data generation on one-dimensional p.d.f
|
|
file | rf101_basics.py |
| This tutorial illustrates the basic features of RooFit.
|
|
file | rf102_dataimport.C |
| Basic functionality: importing data from ROOT TTrees and THx histograms
|
|
file | rf103_interprfuncs.C |
| Basic functionality: interpreted functions and p.d.f.s
|
|
file | rf103_interprfuncs.py |
| Basic functionality: interpreted functions and p.d.f.s
|
|
file | rf104_classfactory.C |
| Basic functionality: The class factory for functions and p.d.f.s
|
|
file | rf104_classfactory.py |
| Basic functionality: the class factory for functions and p.d.f.s
|
|
file | rf105_funcbinding.C |
| Basic functionality: binding ROOT math functions as RooFit functions and pdfs
|
|
file | rf106_plotdecoration.C |
| Basic functionality: adding boxes with parameters, statistics to RooPlots, decorating with arrows, text etc...
|
|
file | rf106_plotdecoration.py |
| Basic functionality: adding boxes with parameters to RooPlots and decorating with arrows, etc...
|
|
file | rf107_plotstyles.C |
| Basic functionality: various plotting styles of data, functions in a RooPlot
|
|
file | rf107_plotstyles.py |
| Basic functionality: demonstration of various plotting styles of data, functions in a RooPlot
|
|
file | rf108_plotbinning.C |
| Basic functionality: plotting unbinned data with alternate and variable binnings
|
|
file | rf108_plotbinning.py |
| Basic functionality: plotting unbinned data with alternate and variable binnings
|
|
file | rf109_chi2residpull.C |
| Basic functionality: Calculating chi^2 from histograms and curves in RooPlots, making histogram of residual and pull distributions
|
|
file | rf110_normintegration.C |
| Basic functionality: normalization and integration of p.d.fs, construction of cumulative distribution monodimensional functions
|
|
file | rf110_normintegration.py |
| Basic functionality: examples on normalization and integration of p.d.fs, construction of cumulative distribution functions from monodimensional p.d.f.s
|
|
file | rf111_derivatives.C |
| Basic functionality: numerical 1st,2nd and 3rd order derivatives w.r.t.
|
|
file | rf111_derivatives.py |
| Basic functionality: numerical 1st, and 3rd order derivatives w.r.t.
|
|
file | rf201_composite.C |
| Addition and convolution: composite p.d.f with signal and background component
|
|
file | rf201_composite.py |
| Addition and convolution: composite p.d.f with signal and background component
|
|
file | rf202_extendedmlfit.C |
| Addition and convolution: setting up an extended maximum likelihood fit
|
|
file | rf202_extendedmlfit.py |
| Addition and convolution: setting up an extended maximum likelihood fit
|
|
file | rf203_ranges.C |
| Addition and convolution: fitting and plotting in sub ranges
|
|
file | rf203_ranges.py |
| Addition and convolution: fitting and plotting in sub ranges
|
|
|
|
|
file | rf205_compplot.C |
| Addition and convolution: options for plotting components of composite p.d.f.s.
|
|
file | rf205_compplot.py |
| Addition and convolution: options for plotting components of composite p.d.f.s.
|
|
file | rf206_treevistools.C |
| Addition and convolution: tools for visualization of RooAbsArg expression trees
|
|
file | rf206_treevistools.py |
| Addition and convolution: tools for visualization of ROOT.RooAbsArg expression trees
|
|
file | rf207_comptools.C |
| Addition and convolution: tools and utilities for manipulation of composite objects
|
|
file | rf208_convolution.C |
| Addition and convolution: one-dimensional numeric convolution
|
|
file | rf209_anaconv.C |
| Addition and convolution: decay function p.d.fs with optional B physics effects (mixing and CP violation)
|
|
file | rf209_anaconv.py |
| Addition and convolution: decay function p.d.fs with optional B physics effects (mixing and CP violation) that can be analytically convolved with e.g.
|
|
file | rf210_angularconv.C |
| Addition and convolution: convolution in cyclical angular observables theta
|
|
file | rf211_paramconv.C |
| Addition and convolution: working with a p.d.f.
|
|
file | rf301_composition.C |
| Multidimensional models: multi-dimensional p.d.f.s through composition e.g.
|
|
file | rf301_composition.py |
| Multidimensional models: multi-dimensional p.d.f.s through composition, e.g.
|
|
file | rf302_utilfuncs.C |
| Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
|
|
file | rf302_utilfuncs.py |
| Multidimensional models: utility functions classes available for use in tailoring of composite (multidimensional) pdfs
|
|
file | rf303_conditional.C |
| Multidimensional models: use of tailored p.d.f as conditional p.d.fs.s
|
|
file | rf304_uncorrprod.C |
| Multidimensional models: simple uncorrelated multi-dimensional p.d.f.s
|
|
file | rf304_uncorrprod.py |
| Multidimensional models: simple uncorrelated multi-dimensional p.d.f.s
|
|
file | rf305_condcorrprod.C |
| Multidimensional models: multi-dimensional p.d.f.s with conditional p.d.fs in product
|
|
file | rf305_condcorrprod.py |
| Multidimensional models: multi-dimensional p.d.f.s with conditional p.d.fs in product
|
|
file | rf306_condpereventerrors.C |
| Multidimensional models: conditional p.d.f.
|
|
file | rf306_condpereventerrors.py |
| Multidimensional models: complete example with use of conditional p.d.f.
|
|
file | rf307_fullpereventerrors.C |
| Multidimensional models: full p.d.f.
|
|
file | rf307_fullpereventerrors.py |
| Multidimensional models: usage of full p.d.f.
|
|
file | rf308_normintegration2d.C |
| Multidimensional models: normalization and integration of p.d.fs, construction of cumulative distribution functions from p.d.f.s in two dimensions
|
|
file | rf308_normintegration2d.py |
|
|
|
file | rf309_ndimplot.C |
| Multidimensional models: making 2/3 dimensional plots of p.d.f.s and datasets
|
|
file | rf309_ndimplot.py |
|
|
|
file | rf310_sliceplot.C |
| Multidimensional models: projecting p.d.f and data slices in discrete observables
|
|
file | rf310_sliceplot.py |
|
|
|
file | rf311_rangeplot.C |
| Multidimensional models: projecting p.d.f and data ranges in continuous observables
|
|
file | rf311_rangeplot.py |
|
|
|
file | rf312_multirangefit.C |
| Multidimensional models: performing fits in multiple (disjoint) ranges in one or more dimensions
|
|
file | rf312_multirangefit.py |
|
|
|
file | rf313_paramranges.C |
| Multidimensional models: working with parametrized ranges to define non-rectangular regions for fitting and integration
|
|
file | rf313_paramranges.py |
|
|
|
file | rf314_paramfitrange.C |
| Multidimensional models: working with parametrized ranges in a fit.
|
|
file | rf314_paramfitrange.py |
|
|
|
file | rf315_projectpdf.C |
| Multidimensional models: marginizalization of multi-dimensional p.d.f.s through integration
|
|
file | rf315_projectpdf.py |
|
|
|
file | rf316_llratioplot.C |
| Multidimensional models: using the likelihood ratio technique to construct a signal enhanced one-dimensional projection of a multi-dimensional p.d.f.
|
|
file | rf316_llratioplot.py |
|
|
|
file | rf401_importttreethx.C |
| Data and categories: advanced options for importing data from ROOT TTree and THx histograms
|
|
file | rf402_datahandling.C |
| Data and categories: tools for manipulation of (un)binned datasets
|
|
file | rf402_datahandling.py |
|
|
|
file | rf403_weightedevts.C |
| Data and categories: using weights in unbinned datasets
|
|
file | rf404_categories.C |
| Data and categories: working with RooCategory objects to describe discrete variables
|
|
file | rf404_categories.py |
|
|
|
file | rf405_realtocatfuncs.C |
| Data and categories: demonstration of real-->discrete mapping functions
|
|
file | rf405_realtocatfuncs.py |
|
|
|
file | rf406_cattocatfuncs.C |
| Data and categories: demonstration of discrete-->discrete (invertable) functions
|
|
file | rf406_cattocatfuncs.py |
|
|
|
file | rf407_latextables.C |
| Data and categories: latex printing of lists and sets of RooArgSets
|
|
file | rf407_latextables.py |
|
|
|
file | rf501_simultaneouspdf.C |
| Organisation and simultaneous fits: using simultaneous p.d.f.s to describe simultaneous fits to multiple datasets
|
|
file | rf501_simultaneouspdf.py |
|
|
|
file | rf502_wspacewrite.C |
| Organisation and simultaneous fits: creating and writing a workspace
|
|
file | rf502_wspacewrite.py |
|
|
|
file | rf503_wspaceread.C |
| Organisation and simultaneous fits: reading and using a workspace
|
|
file | rf504_simwstool.C |
| Organisation and simultaneous fits: using RooSimWSTool to construct a simultaneous p.d.f that is built of variations of an input p.d.f
|
|
file | rf504_simwstool.py |
|
|
|
file | rf505_asciicfg.C |
| Organisation and simultaneous fits: reading and writing ASCII configuration files
|
|
file | rf505_asciicfg.py |
|
|
|
file | rf506_msgservice.C |
| Organisation and simultaneous fits: tuning and customizing the RooFit message logging facility
|
|
file | rf506_msgservice.py |
|
|
|
file | rf507_debugtools.C |
| Organization and simultaneous fits: RooFit memory tracing debug tool
|
|
file | rf507_debugtools.py |
|
|
|
file | rf508_listsetmanip.C |
| Organization and simultaneous fits: RooArgSet and RooArgList tools and tricks
|
|
file | rf509_wsinteractive.C |
| Organization and simultaneous fits: easy interactive access to workspace contents - CINT to CLING code migration
|
|
file | rf509_wsinteractive.py |
|
|
|
file | rf510_wsnamedsets.C |
| Organization and simultaneous fits: working with named parameter sets and parameter snapshots in workspaces
|
|
file | rf511_wsfactory_basic.C |
| Organization and simultaneous fits: basic use of the 'object factory' associated with a workspace to rapidly build p.d.f.s functions and their parameter components
|
|
file | rf511_wsfactory_basic.py |
|
|
|
file | rf512_wsfactory_oper.C |
| Organization and simultaneous fits: operator expressions and expression-based basic p.d.f.s in the workspace factory syntax
|
|
file | rf513_wsfactory_tools.C |
| Organization and simultaneous fits: RooCustomizer and RooSimWSTool interface in factory workspace tool in a complex standalone B physics example
|
|
file | rf513_wsfactory_tools.py |
|
|
|
file | rf601_intminuit.C |
| Likelihood and minimization: interactive minimization with MINUIT
|
|
file | rf602_chi2fit.C |
| Likelihood and minimization: setting up a chi^2 fit to a binned dataset
|
|
file | rf603_multicpu.C |
| Likelihood and minimization: setting up a multi-core parallelized unbinned maximum likelihood fit
|
|
file | rf603_multicpu.py |
|
|
|
file | rf604_constraints.C |
| Likelihood and minimization: fitting with constraints
|
|
file | rf604_constraints.py |
|
|
|
file | rf605_profilell.C |
| Likelihood and minimization: working with the profile likelihood estimator
|
|
file | rf606_nllerrorhandling.C |
| Likelihood and minimization: understanding and customizing error handling in likelihood evaluations
|
|
file | rf607_fitresult.C |
| Likelihood and minimization: demonstration of options of the RooFitResult class
|
|
file | rf607_fitresult.py |
|
|
|
file | rf608_fitresultaspdf.C |
| Likelihood and minimization: representing the parabolic approximation of the fit as a multi-variate Gaussian on the parameters of the fitted p.d.f.
|
|
file | rf608_fitresultaspdf.py |
|
|
|
file | rf609_xychi2fit.C |
| 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 |
|
|
|
file | rf610_visualerror.C |
| Likelihood and minimization: visualization of errors from a covariance matrix
|
|
file | rf610_visualerror.py |
|
|
|
file | rf701_efficiencyfit.C |
| Speecial p.d.f.
|
|
file | rf701_efficiencyfit.py |
|
|
|
file | rf702_efficiencyfit_2D.C |
| Speecial p.d.f.
|
|
file | rf702_efficiencyfit_2D.py |
|
|
|
file | rf703_effpdfprod.C |
| Speecial p.d.f.
|
|
file | rf703_effpdfprod.py |
|
|
|
file | rf704_amplitudefit.C |
| Speecial p.d.f.
|
|
file | rf704_amplitudefit.py |
|
|
|
file | rf705_linearmorph.C |
| Speecial p.d.f.
|
|
file | rf706_histpdf.C |
| Speecial p.d.f.
|
|
file | rf706_histpdf.py |
|
|
|
file | rf707_kernelestimation.C |
| Speecial p.d.f.
|
|
file | rf707_kernelestimation.py |
|
|
|
file | rf708_bphysics.C |
| Speecial p.d.f.
|
|
file | rf708_bphysics.py |
|
|
|
file | rf801_mcstudy.C |
| Validation and MC studies: toy Monte Carlo study that perform cycles of event generation and fitting
|
|
file | rf801_mcstudy.py |
|
|
|
file | rf802_mcstudy_addons.C |
| 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 |
| Validation and MC studies: RooMCStudy - Using the randomizer and profile likelihood add-on models
|
|
file | rf804_mcstudy_constr.C |
| Validation and MC studies: using RooMCStudy on models with constrains
|
|
file | rf901_numintconfig.C |
| Numeric algorithm tuning: configuration and customization of how numeric (partial) integrals are executed
|
|
file | rf902_numgenconfig.C |
| Numeric algorithm tuning: configuration and customization of how MC sampling algorithms on specific p.d.f.s are executed
|
|
file | rf903_numintcache.C |
| Numeric algorithm tuning: caching of slow numeric integrals and parameterization of slow numeric integrals
|
|