AtlFast3: The Next Generation of Fast Simulation in ATLAS
Aad, G. ; Åkesson, T.P.A. LU
; Corrigan, E.E.
LU
; Doglioni, C.
LU
; Geisen, J.
LU
; Hansen, E.
LU
; Hedberg, V.
LU
; Jarlskog, G.
LU
; Konya, B.
LU
and Lytken, E.
LU
, et al.
(2022)
In Computing and Software for Big Science
6(1).
- 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... (More)
- 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, Springer Nature Switzerland AG. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8f80f4ad-8805-4c53-8a98-885fb403b5c6
- author
- Aad, G.
; Åkesson, T.P.A.
LU
; Corrigan, E.E.
LU
; Doglioni, C.
LU
; Geisen, J.
LU
; Hansen, E.
LU
; Hedberg, V.
LU
; Jarlskog, G.
LU
; Konya, B.
LU
and Lytken, E.
LU
, et al. (More)
- Aad, G.
; Åkesson, T.P.A.
LU
; Corrigan, E.E.
LU
; Doglioni, C.
LU
; Geisen, J.
LU
; Hansen, E.
LU
; Hedberg, V.
LU
; Jarlskog, G.
LU
; Konya, B.
LU
; Lytken, E.
LU
; Mankinen, K.H.
LU
; Marcon, C.
LU
; Mjörnmark, J.U.
LU
; Mullier, G.A.
LU
; Poettgen, R.
LU
; Simpson, N.D.
LU
; Skorda, E.
LU
; Smirnova, O.
LU
and Zwalinski, L.
(Less)
- author collaboration
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Computing and Software for Big Science
- volume
- 6
- issue
- 1
- article number
- 7
- publisher
- Springer
- external identifiers
-
- scopus:85126227550
- ISSN
- 2510-2044
- DOI
- 10.1007/s41781-021-00079-7
- language
- English
- LU publication?
- yes
- id
- 8f80f4ad-8805-4c53-8a98-885fb403b5c6
- date added to LUP
- 2022-04-07 10:39:07
- date last changed
- 2023-04-02 22:44:35
@article{8f80f4ad-8805-4c53-8a98-885fb403b5c6,
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, Springer Nature Switzerland AG.}},
author = {{Aad, G. and Åkesson, T.P.A. and Corrigan, E.E. and Doglioni, C. and Geisen, J. and Hansen, E. and Hedberg, V. and Jarlskog, G. and Konya, B. and Lytken, E. and Mankinen, K.H. and Marcon, C. and Mjörnmark, J.U. and Mullier, G.A. and Poettgen, R. and Simpson, N.D. and Skorda, E. and Smirnova, O. and Zwalinski, L.}},
issn = {{2510-2044}},
language = {{eng}},
number = {{1}},
publisher = {{Springer}},
series = {{Computing and Software for Big Science}},
title = {{AtlFast3: The Next Generation of Fast Simulation in ATLAS}},
url = {{http://dx.doi.org/10.1007/s41781-021-00079-7}},
doi = {{10.1007/s41781-021-00079-7}},
volume = {{6}},
year = {{2022}},
}