Correlated gluonic hot spots meet symmetric cumulants data at LHC energies

TL;DR

This study investigates how spatial correlations between gluonic hot spots in protons affect symmetric cumulant data at LHC energies, highlighting the importance of correlations for accurate modeling.

Contribution

It demonstrates that including spatial correlations between gluonic hot spots is essential to reproduce experimental symmetric cumulant data in proton collisions.

Findings

Correlations are crucial for negative SC(2,3) in high centrality collisions.

Modeling with 3 hot spots reproduces experimental data.

Interplay of scales affects symmetric cumulant outcomes.

Abstract

We present a systematic study on the influence of spatial correlations between the proton constituents, in our case gluonic hot spots, their size and their number on the symmetric cumulant SC(2,3), at the eccentricity level, within a Monte Carlo Glauber framework [1]. When modeling the proton as composed by 3 gluonic hot spots, the most common assumption in the literature, we find that the inclusion of spatial correlations is indispensable to reproduce the negative sign of SC(2,3) in the highest centrality bins as dictated by data. Further, the subtle interplay between the different scales of the problem is discussed. To conclude, the possibility of feeding a 2+1D viscous hydrodynamic simulation with our entropy profiles is exposed.