Explore projects
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RooUnfold / RooUnfold
OtherRooUnfold is a framework for unfolding within the ROOT environment, implementing a number of specific algorithms.
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Berkeley Lab / labRemote
GNU General Public License v3.0 or laterTools and classes to control Lab equipment
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This project is built on top of the Gaudi, LHCb, Lbcom, Rec and Phys projects. It contains components related to trigger. See documentation at http://cern.ch/lhcbdoc/hlt/ . Warning: For upgrade developments go to https://gitlab.cern.ch/lhcb/Moore.
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GNN4ITkTeam / acorn
Apache License 2.0Updated -
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BE-CEM-EDL / Common / cheby
GNU General Public License v3.0 or laterUpdated -
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VecGeom / VecGeom
Apache License 2.0The vectorized geometry library for particle-detector simulation (toolkits).
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LHCb / Boole
GNU General Public License v3.0 or laterThis project contains classes and configuration for the LHCb digitization programme Boole. Documentation can be found at http://cern.ch/lhcbdoc/boole/
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This project contains the external models that can be used in production with the ATLAS MadGraph5_aMC@NLO / MadGraphControl setup.
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atlas-itk / sw / db / itkdb
GNU General Public License v3.0 or laterPython interface to ITk Production DB - https://itkdb.docs.cern.ch/
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A package of RooFit utilities written for and used by Higgs Combination measurements.
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LHCb Simulation / LBMCSubmit
GNU General Public License v3.0 or laterPackage for submitting LHCb MC productions to LHCbDIRAC
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Gaussino / Gaussino
Apache License 2.0Gaussino is a project to provide an experiment-independent core software simulation framework. It can be used as the core project experiment specific projects, e.g. Gauss in the LHCb experiment, or in a standalone mode.
It is based on the Gaudi data processing framework and the Geant4 toolkit. It provides a structure to plugin a variety of generators via a set of interfaces. An adaptor to Pythia 8 is available for use and as example.
For further details refer to https://gaussino.docs.cern.ch/
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An example implementation for a simple physics analysis using the Common Analysis Framework. Feel free to use for tutorials and experimenting with the framework. Fork this project if you want to start your own analysis using the CAF!
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