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Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS

Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS
Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS
This paper describes the algorithms used by the CMS experiment to reconstruct and identify τ → hadrons + ντ decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 fb−1. The algorithms achieve an identification efficiency of 50–60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.
1748-0221
Khachatryan, Vardan
375bcfe5-df1a-41ad-9a90-553e557ef6d6
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
The CMS Collaboration
Khachatryan, Vardan
375bcfe5-df1a-41ad-9a90-553e557ef6d6
Belyaev, Alexander
6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3

The CMS Collaboration (2015) Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS. Journal of Instrumentation, 11 (01), [P01019]. (doi:10.1088/1748-0221/11/01/P01019). (In Press)

Record type: Article

Abstract

This paper describes the algorithms used by the CMS experiment to reconstruct and identify τ → hadrons + ντ decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 fb−1. The algorithms achieve an identification efficiency of 50–60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.

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More information

Accepted/In Press date: 21 December 2015
Organisations: Physics & Astronomy

Identifiers

Local EPrints ID: 408347
URI: http://eprints.soton.ac.uk/id/eprint/408347
ISSN: 1748-0221
PURE UUID: 563940cb-61bd-420c-8243-ab4485224388
ORCID for Alexander Belyaev: ORCID iD orcid.org/0000-0002-1733-4408

Catalogue record

Date deposited: 19 May 2017 04:04
Last modified: 16 Mar 2024 03:54

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Contributors

Author: Vardan Khachatryan
Corporate Author: The CMS Collaboration

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