Estimating nonlinear effects in forward dijet production in ultra-peripheral heavy ion collisions at the LHC

Using the framework that interpolates between the leading power limit of the color glass condensate and the high energy (or k T ) factorization we calculate the direct component of the forward dijet production in ultra-peripheral Pb – Pb collisions at CM energy 5.1 TeV per nucleon pair. The formalis...

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Bibliographic Details
Published in:The European physical journal. C, Particles and fields Vol. 77; no. 5; pp. 1 - 15
Main Authors: Kotko, P., Kutak, K., Sapeta, S., Stasto, A. M., Strikman, M.
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-05-2017
Springer Nature B.V
Springer
SpringerOpen
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Summary:Using the framework that interpolates between the leading power limit of the color glass condensate and the high energy (or k T ) factorization we calculate the direct component of the forward dijet production in ultra-peripheral Pb – Pb collisions at CM energy 5.1 TeV per nucleon pair. The formalism is applicable when the average transverse momentum of the dijet system P T is much bigger than the saturation scale Q s , P T ≫ Q s , while the imbalance of the dijet system can be arbitrary. The cross section is uniquely sensitive to the Weizsäcker–Williams (WW) unintegrated gluon distribution, which is far less known from experimental data than the most common dipole gluon distribution appearing in inclusive small- x processes. We have calculated cross sections and nuclear modification ratios using WW gluon distribution obtained from the dipole gluon density through the Gaussian approximation. The dipole gluon distribution used to get WW was fitted to the inclusive HERA data with the nonlinear extension of unified BFKL + DGLAP evolution equation. The saturation effects are visible but rather weak for realistic p T cut on the dijet system, reaching about 20% with the cut as low as 6 GeV . We find that the LO collinear factorization with nuclear leading-twist shadowing predicts quite similar effects.
Bibliography:FG02-93ER40771; SC0002145; 2015/17/B/ST2/01838; 2013/10/E/ST2/00656; FG02-93ER20097
USDOE Office of Science (SC)
ISSN:1434-6044
1434-6052
DOI:10.1140/epjc/s10052-017-4906-6