Abstract
The ATLAS physics program at the LHC relies on very large samples of simulated events. Most of these samples are produced with Geant4, which provides a highly detailed and accurate simulation of the ATLAS detector. However, this accuracy comes with a high price in CPU, and the sensitivity of many physics analyses is already limited by the available Monte Carlo statistics and will be even more so in the future as datasets grow. To solve this problem, sophisticated fast simulation tools are developed, and they will become the default tools in ATLAS production in Run 3 and beyond. The slowest component is the simulation of the calorimeter showers. Those are replaced by a new parametrised description of the longitudinal and lateral energy deposits, including machine learning approaches, achieving a fast but accurate description. In this talk we will describe the new tool for fast calorimeter simulation that has been developed by ATLAS, review its technical and physics performance, and demonstrate its potential to transform physics analyses.
Highlights
Full simulation of the ATLAS [1] detector at the LHC (in particular the calorimeter system) with Geant4 is very expensive
Due to its complexity, full simulation of the ATLAS [1] detector at the LHC with Geant4 is very expensive
FastCaloSim is a fast simulation tool for the ATLAS calorimeter system which relies on a parametrisation of the particle shower development to realistically model the detector response
Summary
Full simulation of the ATLAS [1] detector at the LHC (in particular the calorimeter system) with Geant4 is very expensive. FastCaloSim is a fast simulation tool for the ATLAS calorimeter system which relies on a parametrisation of the particle shower development to realistically model the detector response.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
