A 6.8 nbâ1sample 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 pT>20GeV are selected and analysed in terms of variables which discriminate between diffractive and non-diffractive processes. Cross sections are measured differentially in ÎηF, the size of the observable forward region of pseudorapidity which is devoid of hadronic activity, and in an estimator, Î¾Ë of the fractional momentum loss of the proton assuming single diffractive dissociation (ppâpX). Model comparisons indicate a dominant non-diffractive contribution up to moderately large ÎηFand small Î¾Ë with a diffractive contribution which is significant at the highest ÎηFand the lowest ξË. The rapidity-gap survival probability is estimated from comparisons of the data in this latter region with predictions based on diffractive parton distribution functions.
Dijet production in sqrt s=7 TeV pp collisions with large rapidity gaps at the ATLAS experiment
Conventi, F.;Di Donato, C.;Rossi, E.;
2016-01-01
Abstract
A 6.8 nbâ1sample 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 pT>20GeV are selected and analysed in terms of variables which discriminate between diffractive and non-diffractive processes. Cross sections are measured differentially in ÎηF, the size of the observable forward region of pseudorapidity which is devoid of hadronic activity, and in an estimator, Î¾Ë of the fractional momentum loss of the proton assuming single diffractive dissociation (ppâpX). Model comparisons indicate a dominant non-diffractive contribution up to moderately large ÎηFand small Î¾Ë with a diffractive contribution which is significant at the highest ÎηFand the lowest ξË. The rapidity-gap survival probability is estimated from comparisons of the data in this latter region with predictions based on diffractive parton distribution functions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.