UZH-Logo

Maintenance Infos

Identification of beauty and charm quark jets at LHCb


LHCb Collaboration; Adeva, B; Adinolfi, M; Aaij, R; et al (2015). Identification of beauty and charm quark jets at LHCb. Journal of Instrumentation, 10(06):online.

Abstract

Identification of jets originating from beauty and charm quarks is important for measuring Standard Model processes and for searching for new physics. The performance of algorithms developed to select b- and c-quark jets is measured using data recorded by LHCb from proton-proton collisions at s√=7 TeV in 2011 and at s√=8 TeV in 2012. The efficiency for identifying a b(c) jet is about 65%(25%) with a probability for misidentifying a light-parton jet of 0.3% for jets with transverse momentum pT>20 GeV and pseudorapidity 2.2<η<4.2. The dependence of the performance on the pT and η of the jet is also measured.

Abstract

Identification of jets originating from beauty and charm quarks is important for measuring Standard Model processes and for searching for new physics. The performance of algorithms developed to select b- and c-quark jets is measured using data recorded by LHCb from proton-proton collisions at s√=7 TeV in 2011 and at s√=8 TeV in 2012. The efficiency for identifying a b(c) jet is about 65%(25%) with a probability for misidentifying a light-parton jet of 0.3% for jets with transverse momentum pT>20 GeV and pseudorapidity 2.2<η<4.2. The dependence of the performance on the pT and η of the jet is also measured.

Citations

5 citations in Web of Science®
8 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

9 downloads since deposited on 16 Feb 2016
9 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Physics Institute
Dewey Decimal Classification:530 Physics
Date:28 April 2015
Deposited On:16 Feb 2016 11:16
Last Modified:05 Apr 2016 20:02
Publisher:IOP Publishing
ISSN:1748-0221
Publisher DOI:https://doi.org/10.1088/1748-0221/10/06/P06013

Download

[img]
Preview
Content: Accepted Version
Language: English
Filetype: PDF
Size: 1MB
View at publisher
Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations