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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum.
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Vise andre og tillknytning
2013 (engelsk)Inngår i: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 8, s. P07004-Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2013. Vol. 8, s. P07004-
Emneord [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
HSV kategori
Identifikatorer
URN: urn:nbn:se:su:diva-93586DOI: 10.1088/1748-0221/8/07/P07004ISI: 000322572900015OAI: oai:DiVA.org:su-93586DiVA, id: diva2:647192
Prosjekter
Atlas Collaboration
Merknad

AuthorCount:2913;

Tilgjengelig fra: 2013-09-10 Laget: 2013-09-10 Sist oppdatert: 2017-12-06bibliografisk kontrollert

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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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