AtlFast3: The Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

研究成果: Article査読

抄録

The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

本文言語English
論文番号7
ジャーナルComputing and Software for Big Science
6
1
DOI
出版ステータスPublished - 2022 12月

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ サイエンス(その他)
  • 核物理学および高エネルギー物理学

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