ROOT is an object-oriented framework aimed at solving the data analysis challenges of high-energy physics. Here we discuss the main components of the framework. We begin with an overview describing the framework's organization, the interpreter CINT, its automatic interface to the compiler and linker ACLiC, and an example of a first interactive session. The subsequent sections cover histogramming and fitting. Then, ROOT's solution to storing and retrieving HEP data, building and managing of ROOT files, and designing ROOT trees. Followed by a description of the collection classes, the GUI classes, how to add your own classes to ROOT, and PROOF, ROOT's parallel processing facility
ROOT is a C++ framework for data analysis provided with a Python interface (PyRoot). ROOT is used in...
The ROOT TTree data format encodes hundreds of petabytes of High Energy and Nuclear Physics events. ...
Advanced mathematical and statistical computational methods are required by the LHC experiments for ...
ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, des...
ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, desig...
Abstract The ROOT system provides a set of OO frameworks with all the functionality needed to hand...
The bright future of particle physics at the Energy and Intensity frontiers poses exciting challenge...
The ROOT system is today widely used in many High Energy and Nuclear Physics applications, but also ...
Talk from the 2003 Computing in High energy and Nuclear Physics (CHEP 03), La Jolla, Ca. USA, March ...
Scientific research has always been intertwined to a certain degree with Computing. Even more so ove...
ROOT is a data analysis framework broadly used in and outside of High Energy Physics (HEP). Since HE...
The previous generation of data analysis systems such as PAW had been designed as stand-alone execut...
ROOT is a software framework for large-scale data analysis that provides basic and advanced statisti...
[EN] Data analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar for...
The ROOT software framework is foundational for the HEP ecosystem, providing multiple capabilities s...
ROOT is a C++ framework for data analysis provided with a Python interface (PyRoot). ROOT is used in...
The ROOT TTree data format encodes hundreds of petabytes of High Energy and Nuclear Physics events. ...
Advanced mathematical and statistical computational methods are required by the LHC experiments for ...
ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, des...
ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, desig...
Abstract The ROOT system provides a set of OO frameworks with all the functionality needed to hand...
The bright future of particle physics at the Energy and Intensity frontiers poses exciting challenge...
The ROOT system is today widely used in many High Energy and Nuclear Physics applications, but also ...
Talk from the 2003 Computing in High energy and Nuclear Physics (CHEP 03), La Jolla, Ca. USA, March ...
Scientific research has always been intertwined to a certain degree with Computing. Even more so ove...
ROOT is a data analysis framework broadly used in and outside of High Energy Physics (HEP). Since HE...
The previous generation of data analysis systems such as PAW had been designed as stand-alone execut...
ROOT is a software framework for large-scale data analysis that provides basic and advanced statisti...
[EN] Data analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar for...
The ROOT software framework is foundational for the HEP ecosystem, providing multiple capabilities s...
ROOT is a C++ framework for data analysis provided with a Python interface (PyRoot). ROOT is used in...
The ROOT TTree data format encodes hundreds of petabytes of High Energy and Nuclear Physics events. ...
Advanced mathematical and statistical computational methods are required by the LHC experiments for ...