Performance of T-lepton reconstruction and identification in CMS
Performance of T-lepton reconstruction and identification in CMS
The performance of τ-lepton reconstruction and identification algorithms is studied using a data sample of proton-proton collisions at √s = 7 TeV, corresponding to an integrated luminosity of 36 pb−1 collected with the CMS detector at the LHC. The τ leptons that decay into one or three charged hadrons, zero or more short-lived neutral hadrons, and a neutrino are identified using final-state particles reconstructed in the CMS tracker and electromagnetic calorimeter. The reconstruction efficiency of the algorithms is measured using τ leptons produced in Z-boson decays. The τ-lepton misidentification rates for jets and electrons are determined.
P01001
Chatrchyan, Serguei
23ce6af5-bdd2-435c-92c8-9b1b71a261ee
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
3 January 2012
Chatrchyan, Serguei
23ce6af5-bdd2-435c-92c8-9b1b71a261ee
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
Abstract
The performance of τ-lepton reconstruction and identification algorithms is studied using a data sample of proton-proton collisions at √s = 7 TeV, corresponding to an integrated luminosity of 36 pb−1 collected with the CMS detector at the LHC. The τ leptons that decay into one or three charged hadrons, zero or more short-lived neutral hadrons, and a neutrino are identified using final-state particles reconstructed in the CMS tracker and electromagnetic calorimeter. The reconstruction efficiency of the algorithms is measured using τ leptons produced in Z-boson decays. The τ-lepton misidentification rates for jets and electrons are determined.
Text
pdf
- Version of Record
More information
Published date: 3 January 2012
Identifiers
Local EPrints ID: 412502
URI: http://eprints.soton.ac.uk/id/eprint/412502
ISSN: 1748-0221
PURE UUID: f1056817-02f7-41f4-b6b5-c7827157e037
Catalogue record
Date deposited: 17 Jul 2017 14:00
Last modified: 16 Mar 2024 03:54
Export record
Altmetrics
Contributors
Author:
Serguei Chatrchyan
Corporate Author: The CMS Collaboration
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics