RooFit main classes for building likelihood models, mainly PDFs.
For an introduction check the user's guides, courses or the RooFit chapter of the Manual.
For tutorials see RooFit Tutorials.
Classes | |
class | Roo2DKeysPdf |
Two-dimensional kernel estimation PDF. More... | |
class | RooArgusBG |
RooArgusBG is a RooAbsPdf implementation describing the ARGUS background shape. More... | |
class | RooBCPEffDecay |
PDF describing decay time distribution of B meson including effects of standard model CP violation. More... | |
class | RooBCPGenDecay |
Implement standard CP physics model with S and C (no mention of lambda) Suitably stolen and modified from RooBCPEffDecay. More... | |
class | RooBDecay |
Most general description of B decay time distribution with effects of CP violation, mixing and life time differences. More... | |
class | RooBernstein |
Bernstein basis polynomials are positive-definite in the range [0,1]. More... | |
class | RooBifurGauss |
Bifurcated Gaussian p.d.f with different widths on left and right side of maximum value. More... | |
class | RooBlindTools |
class | RooBMixDecay |
Class RooBMixDecay is a RooAbsAnaConvPdf implementation that describes the decay of B mesons with the effects of B0/B0bar mixing. More... | |
class | RooBreitWigner |
Class RooBreitWigner is a RooAbsPdf implementation that models a non-relativistic Breit-Wigner shape. More... | |
class | RooBukinPdf |
The RooBukinPdf implements the NovosibirskA function. More... | |
class | RooCBShape |
PDF implementing the Crystal Ball line shape. More... | |
class | RooCFunction1Binding< VO, VI > |
RooCFunction1Binding is a templated implementation of class RooAbsReal that binds generic C(++) functions to a RooAbsReal argument thus allowing generic C++ functions to be used as RooFit functions. More... | |
class | RooCFunction2Binding< VO, VI1, VI2 > |
RooCFunction2Binding is a templated implementation of class RooAbsReal that binds generic C(++) functions to a RooAbsReal argument thus allowing generic C++ functions to be used as RooFit functions. More... | |
class | RooCFunction3Binding< VO, VI1, VI2, VI3 > |
RooCFunction3Binding is a templated implementation of class RooAbsReal that binds generic C(++) functions to a RooAbsReal argument thus allowing generic C++ functions to be used as RooFit functions. More... | |
class | RooCFunction4Binding< VO, VI1, VI2, VI3, VI4 > |
RooCFunction4Binding is a templated implementation of class RooAbsReal that binds generic C(++) functions to a RooAbsReal argument thus allowing generic C++ functions to be used as RooFit functions. More... | |
class | RooChebychev |
Chebychev polynomial p.d.f. More... | |
class | RooChi2MCSModule |
RooChi2MCSModule is an add-on module to RooMCStudy that calculates the chi-squared of fitted p.d.f with respect to a binned version of the data. More... | |
class | RooChiSquarePdf |
The PDF of the Chi Square distribution for n degrees of freedom. More... | |
class | RooCrystalBall |
PDF implementing the generalized Asymmetrical Double-Sided Crystall Ball line shape. More... | |
class | RooDecay |
Single or double sided decay function that can be analytically convolved with any RooResolutionModel implementation. More... | |
class | RooDstD0BG |
Special p.d.f shape that can be used to model the background of D*-D0 mass difference distributions. More... | |
class | RooExponential |
Exponential PDF. More... | |
class | RooFunctor1DBinding |
RooCFunction1Binding is a templated implementation of class RooAbsReal that binds generic C(++) functions to a RooAbsReal argument thus allowing generic C++ functions to be used as RooFit functions. More... | |
class | RooFunctor1DPdfBinding |
class | RooFunctorBinding |
RooFunctorBinding makes math functions from ROOT usable in RooFit. More... | |
class | RooFunctorPdfBinding |
RooFunctorPdfBinding makes math functions from ROOT usable as PDFs in RooFit. More... | |
class | RooGamma |
Implementation of the Gamma PDF for RooFit/RooStats. More... | |
class | RooGaussian |
Plain Gaussian p.d.f. More... | |
class | RooGaussModel |
Class RooGaussModel implements a RooResolutionModel that models a Gaussian distribution. More... | |
class | RooGExpModel |
The RooGExpModel is a RooResolutionModel implementation that models a resolution function that is the convolution of a Gaussian with a one-sided exponential. More... | |
class | RooHistConstraint |
The RooHistConstraint implements constraint terms for a binned PDF with statistical uncertainties. More... | |
class | RooIntegralMorph |
Class RooIntegralMorph is an implementation of the histogram interpolation technique described by Alex Read in 'NIM A 425 (1999) 357-369 'Linear interpolation of histograms' for continuous functions rather than histograms. More... | |
class | RooJeffreysPrior |
Implementation of Jeffrey's prior. More... | |
class | RooJohnson |
Johnson's \( S_{U} \) distribution. More... | |
class | RooKeysPdf |
Class RooKeysPdf implements a one-dimensional kernel estimation p.d.f which model the distribution of an arbitrary input dataset as a superposition of Gaussian kernels, one for each data point, each contributing 1/N to the total integral of the p.d.f. More... | |
class | RooLagrangianMorphFunc |
Class RooLagrangianMorphing is a implementation of the method of Effective Lagrangian Morphing, described in ATL-PHYS-PUB-2015-047. More... | |
class | RooLandau |
Landau distribution p.d.f. More... | |
class | RooLegendre |
Compute the associated Legendre polynomials using ROOT::Math::assoc_legendre(). More... | |
class | RooLognormal |
RooFit Lognormal PDF. More... | |
class | RooMathCoreReg |
class | RooMathMoreReg |
class | RooMomentMorph |
class | RooMultiBinomial |
RooMultiBinomial is an efficiency function which makes all combinations of efficiencies given as input different efficiency functions for different categories. More... | |
class | RooNDKeysPdf |
Generic N-dimensional implementation of a kernel estimation p.d.f. More... | |
class | RooNonCentralChiSquare |
The PDF of the Non-Central Chi Square distribution for n degrees of freedom. More... | |
class | RooNonCPEigenDecay |
Time-dependent RooAbsAnaConvPdf for CP violating decays to Non-CP eigenstates (eg, \( B_0 \rightarrow \rho^\pm \pi^\mp\)). More... | |
class | RooNovosibirsk |
RooNovosibirsk implements the Novosibirsk function. More... | |
class | RooParametricStepFunction |
The Parametric Step Function PDF is a binned distribution whose parameters are the heights of each bin. More... | |
class | RooParamHistFunc |
A histogram function that assigns scale parameters to every bin. More... | |
class | RooPoisson |
Poisson pdf. More... | |
class | RooPolyFunc |
RooPolyFunc implements a polynomial function in multi-variables. More... | |
class | RooPolynomial |
RooPolynomial implements a polynomial p.d.f of the form. More... | |
class | RooSpHarmonic |
Implementation of the so-called real spherical harmonics, using the orthonormal normalization, which are related to spherical harmonics as: More... | |
class | RooStepFunction |
The Step Function is a binned function whose parameters are the heights of each bin. More... | |
class | RooTFnBinding |
Use TF1, TF2, TF3 functions as RooFit objects. More... | |
class | RooTFnPdfBinding |
class | RooTMathReg |
class | RooUnblindCPAsymVar |
Implementation of BlindTools' CP asymmetry blinding method A RooUnblindCPAsymVar object is a real valued function object, constructed from a blind value holder and a set of unblinding parameters. More... | |
class | RooUnblindOffset |
Implementation of BlindTools' offset blinding method A RooUnblindOffset object is a real valued function object, constructed from a blind value holder and a set of unblinding parameters. More... | |
class | RooUnblindPrecision |
Implementation of BlindTools' precision blinding method A RooUnblindPrecision object is a real valued function object, constructed from a blind value holder and a set of unblinding parameters. More... | |
class | RooUnblindUniform |
Implementation of BlindTools' offset blinding method. More... | |
class | RooUniform |
Flat p.d.f. More... | |
class | RooVoigtian |
RooVoigtian is an efficient implementation of the convolution of a Breit-Wigner with a Gaussian, making use of the complex error function. More... | |