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29 November 2021 to 3 December 2021
Virtual and IBS Science Culture Center, Daejeon, South Korea
Asia/Seoul timezone

New software technologies in the LHCb Simulation

contribution ID 664
Not scheduled
20m
Orange (Gather.Town)

Orange

Gather.Town

Poster Track 2: Data Analysis - Algorithms and Tools Posters: Orange

Speakers

Gloria Corti (CERN) Michal Mazurek (CERN)

Description

The LHCb Experiment at the Large Hadron Collider (LHC) at CERN has successfully performed a large number of physics measurements during Runs 1 and 2 of the LHC. It will resume operation in Run3 with an upgraded detector to process events with up to five times higher luminosity. Monte Carlo simulations are key to the commissioning of the new detector and the interpretation of past and future measurements. In order to cope with the amount of simulated samples required for the LHCb future physics program, new simulation software technologies have to be introduced to produce them within the computing resources allocated for the next few years. Therefore, the LHCb collaboration is currently preparing a new version of its GAUSS simulation framework. The new version provides the LHCb specific functionality while its generic simulation infrastructure has been encapsulated in an experiment independent framework, GAUSSINO. The latter combines the GAUDI core software framework and the GEANT simulation toolkit and fully exploits their multi-threading capabilities. A prototype of a fast simulation interface to the simulation toolkit is being developed as the last addition to GAUSSINO to provide an extensive palette of fast simulation models, including new deep learning based options.

Speaker time zone Compatible with Europe

Primary authors

Adam Davis (University of Manchester (GB)) Gloria Corti (CERN) Benedetto Gianluca Siddi (Universita e INFN, Ferrara (IT)) Dmitry Popov (University of Chinese Academy of Sciences (CN)) Michal Kreps (University of Warwick (GB)) Michal Mazurek (CERN)

Presentation materials