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.

Aad G., Abbott B., Abbott D.C., Abud A.A., Abeling K., Abhayasinghe D.K., et al. (2022). AtlFast3: The Next Generation of Fast Simulation in ATLAS. COMPUTING AND SOFTWARE FOR BIG SCIENCE, 6(1), 1-54 [10.1007/s41781-021-00079-7].

AtlFast3: The Next Generation of Fast Simulation in ATLAS

Alberghi G. L.;Alfonsi F.;Ballabene E.;Bellagamba L.;Bindi M.;Boscherini D.;Cabras G.;Caforio D.;Carratta G.;Cavalli N.;Clissa L.;De Castro S.;Fabbri F.;Fabbri L.;Franchini M.;Gabrielli A.;Giacobbe B.;Massa L.;Polini A.;Rinaldi L.;Romano M.;Sbarra C.;Sbrizzi A.;Semprini-Cesari N.;Singh S.;Sioli M.;Todome K.;Valentinetti S.;Villa M.;Vittori C.;Vivarelli I.;Zoccoli A.;
2022

Abstract

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.
2022
Aad G., Abbott B., Abbott D.C., Abud A.A., Abeling K., Abhayasinghe D.K., et al. (2022). AtlFast3: The Next Generation of Fast Simulation in ATLAS. COMPUTING AND SOFTWARE FOR BIG SCIENCE, 6(1), 1-54 [10.1007/s41781-021-00079-7].
Aad G.; Abbott B.; Abbott D.C.; Abud A.A.; Abeling K.; Abhayasinghe D.K.; Abidi S.H.; Aboulhorma A.; Abramowicz H.; Abreu H.; Abulaiti Y.; Hoffman A.C...espandi
File in questo prodotto:
File Dimensione Formato  
s41781-021-00079-7.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 9.45 MB
Formato Adobe PDF
9.45 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/898362
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 44
  • ???jsp.display-item.citation.isi??? ND
social impact