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The ROOT system provides a set of OO frameworks with all the functionality |
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needed to handle and analyze large amounts of data in a very efficient way. |
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Having the data defined as a set of objects, specialized storage methods are |
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used to get direct access to the separate attributes of the selected objects, |
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without having to touch the bulk of the data. Included are histograming methods |
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in an arbitrary number of dimensions, curve fitting, function evaluation, |
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minimization, graphics and visualization classes to allow the easy setup of an |
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analysis system that can query and process the data interactively or in batch |
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mode, as well as a general parallel processing framework, PROOF, that can |
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considerably speed up an analysis. |
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Thanks to the built-in C++ interpreter cling, the command, the scripting and |
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the programming language are all C++. The interpreter allows for fast |
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prototyping of the macros since it removes the time consuming compile/link |
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cycle. It also provides a good environment to learn C++. If more performance |
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is needed the interactively developed macros can be compiled using a C++ |
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compiler via a machine independent transparent compiler interface called ACliC. |
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The system has been designed in such a way that it can query its databases in |
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parallel on clusters of workstations or many-core machines. ROOT is an open |
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system that can be dynamically extended by linking external libraries. This |
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makes ROOT a premier platform on which to build data acquisition, simulation |
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and data analysis systems. [Text copied from ROOT project's repo 2022-11-11.] |