Changes between Version 69 and Version 70 of WikiStart


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Timestamp:
Feb 11, 2022, 4:55:17 PM (3 years ago)
Author:
jackaraz
Comment:

removed "new"

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  • WikiStart

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    18 !MadAnalysis is a new framework for phenomenological investigations at particle colliders. Based on a C++ kernel, this program allows to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics analyses of event files such as those generated a large class of Monte Carlo event generators. !MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface in order to implement the analysis by the mean of a set of intuitive commands. The second one requires to implement the analysis in the C++ programming language, directly within the core of the analysis framework. This opens unlimited possibilities concerning the level of complexity which can be reached by the analysis, being only limited by the programming skills and the originality of the user.
     18!MadAnalysis is a framework for phenomenological investigations at particle colliders. Based on a C++ kernel, this program allows to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics analyses of event files such as those generated a large class of Monte Carlo event generators. !MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface in order to implement the analysis by the mean of a set of intuitive commands. The second one requires to implement the analysis in the C++ programming language, directly within the core of the analysis framework. This opens unlimited possibilities concerning the level of complexity which can be reached by the analysis, being only limited by the programming skills and the originality of the user.
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    2020!MadAnalysis 5 can also be used for the recasting of existing LHC analyses. These features are documented on the MA5 PAD (public analysis database), together with instructions to implement new analyses (see [wiki:PublicAnalysisDatabase the PAD page]).