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Dijet Azimuthal Decorrelations in $pp$ Collisions at $s = 7$~TeV

Dijet Azimuthal Decorrelations in $pp$ Collisions at $s = 7$~TeV
Dijet Azimuthal Decorrelations in $pp$ Collisions at $s = 7$~TeV
Measurements of dijet azimuthal decorrelations in pp collisions at √s=7  TeV using the CMS detector at the CERN LHC are presented. The analysis is based on an inclusive dijet event sample corresponding to an integrated luminosity of 2.9  pb−1. The results are compared to predictions from perturbative QCD calculations and various Monte Carlo event generators. The dijet azimuthal distributions are found to be sensitive to initial-state gluon radiation.
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 (2011) Dijet Azimuthal Decorrelations in $pp$ Collisions at $s = 7$~TeV. Physical Review Letters, 106, [122003]. (doi:10.1103/PhysRevLett.106.122003).

Record type: Article

Abstract

Measurements of dijet azimuthal decorrelations in pp collisions at √s=7  TeV using the CMS detector at the CERN LHC are presented. The analysis is based on an inclusive dijet event sample corresponding to an integrated luminosity of 2.9  pb−1. The results are compared to predictions from perturbative QCD calculations and various Monte Carlo event generators. The dijet azimuthal distributions are found to be sensitive to initial-state gluon radiation.

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Published date: 2011
Organisations: Physics & Astronomy
Learn more about Physics & Astronomy research

Identifiers

Local EPrints ID: 411296
URI: http://eprints.soton.ac.uk/id/eprint/411296
DOI: doi:10.1103/PhysRevLett.106.122003
PURE UUID: 7a114274-21e5-420b-a102-22d5ab6905a2
ORCID for Alexander Belyaev: ORCID iD orcid.org/0000-0002-1733-4408

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Date deposited: 16 Jun 2017 16:32
Last modified: 16 Mar 2024 03:54

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Contributors

Author: Vardan Khachatryan
Author: Alexander Belyaev ORCID iD
Corporate Author: The CMS Collaboration

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