Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00566956" target="_blank" >RIV/68378271:_____/22:00566956 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/22:10457067 RIV/68407700:21220/22:00373945 RIV/68407700:21340/22:00373945 RIV/68407700:21670/22:00373945
Result on the web
<a href="https://hdl.handle.net/11104/0340637" target="_blank" >https://hdl.handle.net/11104/0340637</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s41781-021-00062-2" target="_blank" >10.1007/s41781-021-00062-2</a>
Alternative languages
Result language
angličtina
Original language name
Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events
Original language description
The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hard scatter, and stored as combined events. Consequently, for each hard-scatter interaction, only one such presampled event needs to be added as part of the simulation chain.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10303 - Particles and field physics
Result continuities
Project
<a href="/en/project/LM2018104" target="_blank" >LM2018104: Research Infrastructure for experiments at CERN</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computing and Software for Big Science
ISSN
2510-2036
e-ISSN
2510-2044
Volume of the periodical
6
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
35
Pages from-to
3
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85124276335