Event-by-event $v_n$ correlations of soft hadrons and heavy mesons in heavy ion collisions

TL;DR

This study embeds heavy quark energy loss models into viscous hydrodynamics to analyze D0 meson suppression and anisotropy in heavy ion collisions, revealing consistent results with experimental data and predicting linear correlations between soft and heavy meson flow coefficients.

Contribution

It introduces the first event-by-event correlation analysis between soft hadron and heavy meson flow coefficients in heavy ion collisions.

Findings

D0 meson R_AA matches CMS data.

Heavy flavor cumulants v2{2} and v3{2} agree with experiments.

Predicted linear correlation between soft hadron and heavy meson v_n on an event-by-event basis.

Abstract

In this paper heavy quark energy loss models are embedded in full event-by-event viscous hydrodynamic simulations to investigate the nuclear suppression factor and azimuthal anisotropy of D$^0$ mesons in PbPb collisions at 5.02 TeV in the $p_T$ range 8-40 GeV. In our model calculations, the $R_\text{AA}$ of D$^0$ mesons is consistent with experimental data from the CMS experiment. We present the first calculations of heavy flavor cumulants $v_2\{2\}$ and $v_3\{2\}$ (and also discuss $v_2\{4\}$), which is also consistent with experimental data. Event-shape engineering techniques are used to compute the event-by-event correlation between the soft hadron $v_n$ and the heavy meson $v_n$. We predict a linear correlation between these observables on an event-by-event basis.