Speaker
Description
The LHCb software has undergone a major upgrade in view of data taking with higher luminosity in Run3 of the LHC at CERN.
The LHCb simulation framework, Gauss, had to be adapted to follow the changes in modern technologies of the underlying experiment core software and to introduce new simulation techniques to cope with the increase of the required amount of simulated data. Additional constraints come from the fact that Gauss also relies on external simulation libraries.
The new version of Gauss is based on a newly developed experiment agnostic simulation framework, called Gaussino. This new software is based on the Gaudi data processing framework and encapsulates generic simulation components. Gaussino provides components and interfaces for High Energy Physics generators, e.g. Pythia. It relies on the Geant4 toolkit for detector simulation and provides a fast simulation interface to replace the Geant4 physics processes in given sub-detectors with parametric models, including deep learning based options. Geometry layouts can be provided through DD4Hep or experiment-specific detector description tools. A built-in mechanism to define simple volumes at configuration time is also available. Gaussino ensures a consistent multi-threaded execution between the various components and the underlying Gaudi infrastructure.
Following an overview of the structure and functionality of Gaussino we will describe how the new version of Gauss exploits the Gaussino infrastructure to provide what required for the simulation(s) of LHCb experiment.
Finally we will show recent developments and performance of the new software as well as first experience of using it to generate simulated samples in the LHCb production system.
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