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Identification of b-quark jets with the CMS experiment


CMS Collaboration; Chatrchyan, S; Khachatryan, V; Amsler, C; Chiochia, V; De Visscher, S; Favaro, C; Ivova Rikova, M; Millan Mejias, B; Otiougova, P; Robmann, P; Snoek, H; Tupputi, S; Verzetti, M; et al (2012). Identification of b-quark jets with the CMS experiment. Journal of Instrumentation, 8:P04013.

Abstract

At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by CMS to select b-quark jets based on variables such as the impact parameters of charged-particle tracks, the properties of reconstructed decay vertices, and the presence or absence of a lepton, or combinations thereof. The performance of these algorithms has been measured using data from proton-proton collisions at the LHC and compared with expectations based on simulation. The data used in this study were recorded in 2011 at p s = 7 TeV for a total integrated luminosity of 5.0 fb

Abstract

At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by CMS to select b-quark jets based on variables such as the impact parameters of charged-particle tracks, the properties of reconstructed decay vertices, and the presence or absence of a lepton, or combinations thereof. The performance of these algorithms has been measured using data from proton-proton collisions at the LHC and compared with expectations based on simulation. The data used in this study were recorded in 2011 at p s = 7 TeV for a total integrated luminosity of 5.0 fb

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Physics Institute
Dewey Decimal Classification:530 Physics
Language:English
Date:2012
Deposited On:12 Mar 2013 10:20
Last Modified:23 Sep 2018 05:32
Publisher:IOP Publishing
ISSN:1748-0221
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1088/1748-0221/8/04/P04013
Related URLs:http://arxiv.org/abs/1211.4462

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