Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment

A 6.8 nb −1 sample of pp collision data collected under low-luminosity conditions at s=7TeV by the ATLAS detector at the Large Hadron Collider is used to study diffractive dijet production. Events containing at least two jets with p T >20GeV are selected and analysed in terms of variables whi...

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Autor principal: Aad, G.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03702693_v754_n_p214_Aad
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spelling todo:paper_03702693_v754_n_p214_Aad2023-10-03T15:29:42Z Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment Aad, G. A 6.8 nb −1 sample of pp collision data collected under low-luminosity conditions at s=7TeV by the ATLAS detector at the Large Hadron Collider is used to study diffractive dijet production. Events containing at least two jets with p T >20GeV are selected and analysed in terms of variables which discriminate between diffractive and non-diffractive processes. Cross sections are measured differentially in Δη F , the size of the observable forward region of pseudorapidity which is devoid of hadronic activity, and in an estimator, ξ˜ of the fractional momentum loss of the proton assuming single diffractive dissociation (pp→pX). Model comparisons indicate a dominant non-diffractive contribution up to moderately large Δη F and small ξ˜ with a diffractive contribution which is significant at the highest Δη F and the lowest ξ˜. The rapidity-gap survival probability is estimated from comparisons of the data in this latter region with predictions based on diffractive parton distribution functions. © 2016 CERN for the benefit of the ATLAS Collaboration JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03702693_v754_n_p214_Aad
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description A 6.8 nb −1 sample of pp collision data collected under low-luminosity conditions at s=7TeV by the ATLAS detector at the Large Hadron Collider is used to study diffractive dijet production. Events containing at least two jets with p T >20GeV are selected and analysed in terms of variables which discriminate between diffractive and non-diffractive processes. Cross sections are measured differentially in Δη F , the size of the observable forward region of pseudorapidity which is devoid of hadronic activity, and in an estimator, ξ˜ of the fractional momentum loss of the proton assuming single diffractive dissociation (pp→pX). Model comparisons indicate a dominant non-diffractive contribution up to moderately large Δη F and small ξ˜ with a diffractive contribution which is significant at the highest Δη F and the lowest ξ˜. The rapidity-gap survival probability is estimated from comparisons of the data in this latter region with predictions based on diffractive parton distribution functions. © 2016 CERN for the benefit of the ATLAS Collaboration
format JOUR
author Aad, G.
spellingShingle Aad, G.
Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
author_facet Aad, G.
author_sort Aad, G.
title Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
title_short Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
title_full Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
title_fullStr Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
title_full_unstemmed Dijet production in √s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
title_sort dijet production in √s=7 tev pp collisions with large rapidity gaps at the atlas experiment
url http://hdl.handle.net/20.500.12110/paper_03702693_v754_n_p214_Aad
work_keys_str_mv AT aadg dijetproductionins7tevppcollisionswithlargerapiditygapsattheatlasexperiment
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