| ▼Core ROOT classes | The Core classes of ROOT |
| Base ROOT classes | The Base classes of ROOT |
| Containers | The containers and generators the ROOT framework offers |
| ▼Geometry | The Geometry related packages |
| GDML tools | GDML tools for geometry classes |
| CAD converters | Classes to convert geometries to CAD systems |
| Geometry classes | The Geometry related classes |
| Geometry builder | The Geometry builder related classes |
| Geometry painter | The Geometry painter, checker, overlap and track related classes |
| ▼Graphics | The graphics related classes |
| ►Graphics' Backends | Graphics' Backends interface classes |
| Cocoa backend | Interface to MacOS native graphics system |
| Win32 backend | Interface to Windows graphics |
| X11 backend | Interface to X11 graphics |
| ►2D Graphics | The 2D graphics related classes |
| libAfterImage interface | Classes interfacing to libAfterImage |
| FITS file | Interface to FITS file |
| Graphics pad | The TPad related classes |
| Basic graphics | The low level graphics classes |
| graphviz interface | Interface to the graphing package graphviz |
| Graphics file output | Interfaces to various file output formats |
| Graphics attributes | The graphics attributes related classes |
| ►3D Graphics | The 3D graphics related classes |
| Event Display | The Event Display classes |
| Basic 3D graphics. | The basic 3D classes |
| OpenGL rendering | OpenGL rendering and utility classes |
| RPad coordinate systems | These define typesafe coordinates used by RPad to identify which coordinate system a coordinate is referring to |
| ▼Histogram Library | A general description of the Histogram library is documented in the class TH1 |
| Histograms and graphs painting classes. | |
| Advanced spectra processing classes. | |
| TSpectrum painting class. | |
| TUnfold classes | |
| Input/Output Library | The library collecting the ROOT classes dedicated to data input and output |
| ▼Math | The ROOT Mathematical Libraries |
| GenVector | Generic 2D, 3D and 4D vectors classes and their transformations (rotations) |
| ►MathCore | The Core Mathematical Library of ROOT. See the MathCore description page |
| ►Fitting and Parameter Estimation | Classes used for fitting (regression analysis) and estimation of parameter values given a data sample |
| Fit Method Classes | Classes describing Fit Method functions |
| Fit Data Classes | Classes for describing the input data for fitting |
| User Fitting classes | Main Classes used for fitting a given data set |
| ►Random Classes | Pseudo-random numbers generator classes and for generation of random number distributions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| ►Function Classes and Interfaces | Interfaces (abstract classes) and Base classes used in MathCore and MathMore numerical methods for describing function classes |
| ►Generic Function Evaluation Interfaces | Interface classes for evaluation of function object classes in one or multi-dimensions |
| Internal Functor Classes | Internal classes for implementing Functor and Functor1D classes |
| Parameteric Function Evaluation Interfaces. | Interfaces classes for evaluation of parametric functions |
| ►Numerical Algorithms | Numerical Algorithm classes from the MathCore Library and MathMore Library libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ►Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ►Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| ►MathMore | The Mathematical library providing some advanced functionality and based on GSL. See the MathMore Library page |
| ►Numerical Algorithms | Numerical Algorithm classes from the MathCore Library and MathMore Library libraries |
| One-dimensional Minimization | Classes for one-dimensional minimization |
| ►Numerical Integration | Classes for numerical integration of functions |
| Numerical Monte Carlo Integration Classes | Classes implementing method for Monte Carlo Integration |
| Multi-dimensional Minimization | Classes implementing algorithms for multi-dimensional minimization |
| Numerical Differentiation | Classes for numerical differentiation |
| One-dimensional Root-Finding | Classes implementing algorithms for finding the roots of a one-dimensional function |
| Function Approximation (ChebyshevApprox) | Numerical algorithm from the MathMore library and implemented using the GSL library |
| Multidimensional ROOT finding | Classes for finding the roots of a multi-dimensional system |
| Interpolation Classes | Classes for interpolation of points |
| ►Statistical functions | Probability density functions, cumulative distribution functions and their inverses (quantiles) for various statistical distributions (continuous and discrete) |
| Probability Density Functions (PDF) | Probability density functions of various statistical distributions (continuous and discrete) |
| Cumulative Distribution Functions (CDF) | Cumulative distribution functions of various distributions |
| Statistical functions from truncated distributions | Statistical functions for the truncated distributions |
| Quantile Functions | Inverse functions of the cumulative distribution functions and the inverse of the complement of the cumulative distribution functions for various distributions |
| Special functions | Special mathematical functions |
| QuasiRandom number generators and distributions | Classes for generating QuasiRandom numbers and based on GSL |
| Matrix Linear Algebra | The ROOT Matrix Linear Algebra classes |
| TMinuit | The Minuit Minimization package |
| Minuit2 Minimization Library | New Object-oriented implementation of the MINUIT minimization package |
| Physics Vectors | The Physics Vectors classes |
| ►SMatrix | SMatrix Package for high performance vector and matrix computations |
| Expression Template Classes | |
| Generic Template Functions | These functions apply for any type T, such as a scalar, a vector or a matrix |
| Vector Template Functions | These functions apply to SVector types (and also to Vector expressions) and can return a vector expression or a scalar, like in the Dot product, or a matrix, like in the Tensor product |
| Matrix Template Functions | These function apply to matrices (and also Matrix expression) and can return a matrix expression of a particular defined type, like in the matrix multiplication or a vector, like in the matrix-vector product or a scalar like in the Similarity vector-matrix product |
| SMatrix Storage Representation | |
| Matrix and Vector classes | Classes representing Matrices and Vectors of arbitrary type and dimension |
| Unuran | |
| VecOps | |
| ▼Monte Carlo | The Monte Carlo related packages |
| EG | Particle Data Group interface |
| Pythia6 | The Pythia6 interface |
| Pythia8 | The Pythia8 interface |
| VMC | Virtual Monte Carlo |
| ▼PROOF | Classes defining the Parallel ROOT Facility, PROOF, a framework for parallel analysis of ROOT TTrees |
| PROOF kernel Libraries | The PROOF kernel libraries (libProof, libProofPlayer, libProofDraw) contain the classes defining the kernel of the PROOF facility, i.e |
| PROOF benchmark utilities | Set of utilities to benchmark a PROOF facility |
| XProofD client Library | The XProofD client library, libProofx, contain the classes providing the client to interact with the XRootD-based xproofd daemon |
| TMVA | The Multi Variate Analysis package |
| ▼Roofit | RooFit toolkit classes |
| Roofitcore | Core RooFit classes |
| ►Roostats | RooStats toolkit classes |
| HistFactory | Factory classes to create RooFit workspaces from histograms |
| DataFrame | ROOT's RDataFrame allows to analyse data stored in TTrees with a high level interface |
| Tree Library | To store large quantities of same-class objects, ROOT provides the TTree and TNtuple classes |
| ▼Tutorials | A collection of macros helping to learn ROOT by example |
| Tutorials specific to Mac/Cocoa | Various examples showing graphics done with the Mac graphics system Cocoa. These examples run only on Mac/Os |
| Containers tutorials | Examples showing the "containers' classes" usage. |
| Data Frame tutorials | These examples show the functionalities of RDataFrame: ROOT's declarative analysis interface |
| Event display tutorials | Examples showing the "Event display classes" usage. |
| Fast Fourier Transforms tutorials | Example showing the Fast Fourier Transforms interface in ROOT |
| Fit Tutorials | These tutorials illustrate the main fitting features. Their names are related to the aspect which is treated in the code |
| FITS files interface tutorials | Examples showing the FITS file interface |
| FOAM tutorials | Examples showing how to use FOAM |
| Geometry tutorials | Various ROOT geometry package examples |
| OpenGL tutorials | Various examples showing the OpenGL graphics in ROOT |
| Graphics tutorials | Various examples showing the basic ROOT graphics |
| Graphs tutorials | Examples showing the "graphs classes" usage. |
| GUI tutorials | Example code which illustrates how to use the ROOT GUI |
| Histograms tutorials | Examples showing the "histograms' classes" usage. |
| HTTP tutorials | Examples showing the HTTP interface |
| Image tutorials | Examples showing the TImage class usage |
| IO tutorials | These tutorials illustrate some of the capabilities of the ROOT IO subsystem |
| Math tutorials | Examples showing the Math classes |
| Matrix tutorials | Examples showing how to use TMatrix |
| Monte Carlo tutorials | Monte Carlo examples |
| TMemStat tutorials | Examples showing the TMemStat class |
| Multi Layer Perceptron tutorials | Examples showing the Multi Layer Perceptron classes |
| Multicore tutorials | These examples aim to illustrate the multicore features of ROOT, such as thread awareness and safety, multithreading and multiprocessing |
| Net tutorials | Examples showing the net classes |
| Physics tutorials | Physics examples |
| ►Proof tutorials | These examples aim to illustrate the usage of PROOF |
| ProcFileElements | Class to hold information about the processed elements of a file |
| ProofAux | Selector used for auxiliary actions in the PROOF tutorials |
| ProofEvent | Selector for generic processing with Event |
| ProofEventProc | Selector to process trees containing Event structures |
| ProofFriends | Selector to process tree friends |
| ProofNtuple | Selector to fill a simple ntuple |
| ProofPythia | Selector to generate Monte Carlo events with Pythia8 |
| ProofSimple | Selector to fill a set of histograms |
| ProofSimpleFile | Selector to fill a set of histograms and merging via file |
| ProofStdVec | Selector for generic processing with stdlib collections |
| ProofTests | Auxilliary selector used to test PROOF functionality |
| PyRoot tutorials | Examples showing how to write python script for Root |
| Pythia tutorials | Examples showing the pythia usage |
| Quadratic programming package. | Example showing the usage of the quadratic programming package quadp |
| R tutorials | Examples showing the R interface |
| RooFit Tutorials | These tutorials illustrate the main features of RooFit. Their names are related to the aspect which is treated in the code |
| RooStats Tutorials | These tutorials illustrate the main features of RooStats |
| Spectrum tutorials | Examples showing the TSpectrum and TSpectrumPainter usage |
| TSPlot tutorials | This tutorial illustrates the use of class TSPlot |
| SQL tutorials | Examples showing the SQL classes |
| Thread tutorials | Thread examples |
| TMVA tutorials | Example code which illustrates how to use the TMVA toolkit |
| Tree tutorials | Example code which illustrates how to use ROOT trees and ntuples |
| TUnfold tutorials | Test programs for the classes TUnfold and related |
| Unuran tutorials | Examples showing unuran capabilities |
| ROOT 7 tutorials | Various examples showing the ROOT 7 interface |
| VecOps tutorials | These examples show the functionalities of the VecOps utilities |
| XML tutorials | XML examples |
| R Interface for Statistical Computing | |
ROOT 6.16/01 - Reference Guide Generated on Sun Dec 19 2021 22:33:51 (GVA Time) using Doxygen 1.9.3 (234637167bd5d39d32bf51f755d58253441f123a).