UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Emulating the impact of additional proton–proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events
  • Publication Type:
    Journal article
  • Authors:
    Aad G, Abbott B, Abbott DC, Abud AA, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Hoffman ACA, Acharya BS, Achkar B, Adam L, Bourdarios CA, Adamczyk L, Adamek L, Adelman J, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Akbiyik M, Åkesson TPA, Akilli E, Akimov AV, Khoury KA, Alberghi GL, Albert J, Verzini MJA, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allport PP, Aloisio A, Alonso F, Alpigiani C, Camelia EA, Estevez MA, Alviggi MG, Coutinho YA, Ambler A, Ambroz L, Amelung C, Amidei D, Santos SPAD, Amoroso S, Amrouche CS, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Andrei V, Anelli CR, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Pozo JAA, Aparo MA, Bella LA, Aranzabal N, Ferraz VA, Arcangeletti C, Arce ATH, Arguin JF, ATLAS Collaboration , et alia
  • Publisher:
    Springer Science and Business Media LLC
  • Publication date:
    2022
  • Journal:
    Computing and Software for Big Science
  • Volume:
    6
  • Issue:
    1
  • Article number:
    3
  • Status:
    Published
  • Language:
    English
  • Notes:
    © 2022 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Abstract
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. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers Show More
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
Author
Dept of Physics & Astronomy
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by