Multiplicity dependence of jet-like two-particle correlation structures in p-Pb collisions √sNN=5.02 TeV

Abelev, B. and Adam, J. and Adamová, D. and Aggarwal, M. M. and Agnello, M. and Barnaföldi, Gergely Gábor and Bencédi, Gyula and Berényi, Dániel and Boldizsár, László and Dénes, Ervin and Hamar, Gergő and Kiss, Gábor and Varga-Kőfaragó, Mónika and Lévai, Péter and Molnár, Levente and Oláh, László and Pochybova, Sona (2015) Multiplicity dependence of jet-like two-particle correlation structures in p-Pb collisions √sNN=5.02 TeV. PHYSICS LETTERS B, 741. pp. 38-50. ISSN 0370-2693

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Abstract

Two-particle angular correlations between unidentified charged trigger and associated par- ticles are measured by the ALICE detector in p–Pb collisions at a nucleon–nucleon centre- of-mass energy of 5.02 TeV. The transverse-momentum range 0.7 < pT,assoc < pT,trig < 5.0 GeV/c is examined, to include correlations induced by jets originating from low momen- tum-transfer scatterings (minijets). The correlations expressed as associated yield per trig- ger particle are obtained in the pseudorapidity range |η| < 0.9. The near-side long-range pseudorapidity correlations observed in high-multiplicity p–Pb collisions are subtracted from both near-side short-range and away-side correlations in order to remove the non- jet-like components. The yields in the jet-like peaks are found to be invariant with event multiplicity with the exception of events with low multiplicity. This invariance is consis- tent with the particles being produced via the incoherent fragmentation of multiple parton– parton scatterings, while the yield related to the previously observed ridge structures is not jet-related. The number of uncorrelated sources of particle production is found to increase linearly with multiplicity, suggesting no saturation of the number of multi-parton interac- tions even in the highest multiplicity p–Pb collisions. Further, the number scales only in the intermediate multiplicity region with the number of binary nucleon–nucleon collisions estimated with a Glauber Monte-Carlo simulation.

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