Identification of B-Quark Jets With the Cms Experiment

Loading...

Date

2013

Authors

Karapınar, Güler

Journal Title

Journal ISSN

Volume Title

Publisher

IOP Publishing Ltd.

Open Access Color

BRONZE

Green Open Access

Yes

OpenAIRE Downloads

0

OpenAIRE Views

1

Publicly Funded

No
Impulse
Top 0.1%
Influence
Top 1%
Popularity
Top 1%

relationships.isProjectOf

relationships.isJournalIssueOf

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 s = 7 TeV for a total integrated luminosity of 5.0 fb-1. The efficiency for tagging b-quark jets has been measured in events from multijet and t-quark pair production. CMS has achieved a b-jet tagging efficiency of 85% for a light-parton misidentification probability of 10% in multijet events. For analyses requiring higher purity, a misidentification probability of only 1.5% has been achieved, for a 70% b-jet tagging efficiency. © 2013 IOP Publishing Ltd and Sissa Medialab srl.

Description

Keywords

Elementary particles, Pattern recognition, Calibration and fitting methods, Tellurium compounds, Integrated luminosity, high energy collider; LHC; CMS; b tagging, PARTICLE PHYSICS; LARGE HADRON COLLIDER; CMS, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), cluster finding, Large detector-systems performance; Pattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors, finding, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], info:eu-repo/classification/ddc/530, cluster, Fisica delle particelle, Instrumentation, Mathematical Physics, info:eu-repo/classification/ddc/610, Large detector-systems performance, Performance of high energy physics detectors, Pattern recognition, cluster finding, calibration and fitting methods, CMS, Physics, ddc:530, Performance of High Energy Physics Detectors; Large detector-systems performance; Pattern recognition; Cluster finding; Calibration and fitting methods, calibration and fitting methods, 001, Performance of High Energy, calibration and fitting method, LHC; CMS; HEP, PARTICLE PHYSICS, Physics Detectors, physics, Particle Physics - Experiment, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], cms, FOS: Physical sciences, 610, Pattern Recognition, 530, Tellurium compounds, Pattern recognition, Calibration and fitting methods, Integrated luminosity, Cluster finding, Elementary particles, LARGE HADRON COLLIDER, Large detector-systems performance; Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors, QC Physics / fizika, Large detector-systems performance; Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physics, Performance of High Energy Physics Detectors

Fields of Science

01 natural sciences, 0103 physical sciences

Citation

Chatrchyan, S, Khachatryan, V., Sirunyan, A.M., Tumasyan, A., Adam, W., Aguilo, E., Bergauer, T., ...CMS Collaboration (2013). Identification of b-quark jets with the CMS experiment. Journal of Instrumentation, 8(4). doi:10.1088/1748-0221/8/04/P04013

WoS Q

Q4

Scopus Q

Q3

Source

Journal of Instrumentation

Volume

8

Issue

4

Start Page

End Page

PlumX Metrics
Citations

CrossRef : 379

Captures

Mendeley Readers : 230

SCOPUS™ Citations

360

checked on Apr 27, 2026

Web of Science™ Citations

453

checked on Apr 27, 2026

Page Views

800

checked on Apr 27, 2026

Downloads

438

checked on Apr 27, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
43.13234861

Sustainable Development Goals

SDG data is not available