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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics.
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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2013 (English)In: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 8, P07004- p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Trigger-rate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are exploited to develop dedicated background tagging tools. These tools, based on observables in the Pixel detector, the muon spectrometer and the calorimeters, are described in detail and their efficiencies are evaluated. Finally an example of an application of these techniques to a monojet analysis is given, which demonstrates the importance of such event cleaning techniques for some new physics searches.

Place, publisher, year, edition, pages
2013. Vol. 8, P07004- p.
Keyword [en]
Pattern recognition, cluster finding, calibration and fitting methods, Performance of High Energy Physics Detectors, Accelerator modelling and simulations (multi-particle dynamics, single-particle dynamics), Analysis and statistical methods
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-93586DOI: 10.1088/1748-0221/8/07/P07004ISI: 000322572900015OAI: oai:DiVA.org:su-93586DiVA: diva2:647192
Projects
Atlas Collaboration
Note

AuthorCount:2913;

Available from: 2013-09-10 Created: 2013-09-10 Last updated: 2017-12-06Bibliographically approved

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Åsman, BarbroBendtz, KatarinaBohm, ChristianClément, ChristopheEriksson, DanielGellerstedt, KarlHellman, StenHolmgren, Sven-OlofJohansen, MarianneJohansson, K. ErikJon-And, KerstinKhandanyan, HovhannesKim, Hyeon JinKlimek, PawelLundberg, JohanLundberg, OlleMilstead, DavidMoa, TorbjörnOhm, Christian C.Papadelis, ArasSellden, BjörnSilverstein, SamuelSjölin, JörgenStrandberg, SaraTylmad, MajaYang, Zhaoyu
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Department of PhysicsThe Oskar Klein Centre for Cosmo Particle Physics (OKC)
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