Abstract
High momentum jets and hadrons can be used as probes for the quark gluon plasma (QGP) formed in nuclear collisions at high energies. We investigate the influence of fluctuations in the fireball on jet quenching observables by comparing propagation of light quarks and gluons through averaged, smooth QGP fireballs with event-by-event jet quenching using realistic inhomogeneous fireballs. We find that the transverse momentum and impact parameter dependence of the nuclear modification factor RAA can be fit well in an event-by-event quenching scenario within experimental errors. However the transport coefficient qˆ extracted from fits to the measured nuclear modification factor RAA in averaged fireballs underestimates the value from event-by-event calculations by up to 50%. On the other hand, after adjusting qˆ to fit RAA in the event-by-event analysis we find residual deviations in the azimuthal asymmetry v2 and in two-particle correlations, that provide a possible faint signature for a spatial tomography of the fireball. We discuss a correlation function that is a measure for spatial inhomogeneities in a collision and can be constrained from data.
Highlights
We have investigated the role of fluctuations and inhomogeneities on hard probes in nuclear collisions
We have used our software package PPM to propagate quarks and gluons created in hard processes through the background fireball
We compared runs of PPM averaged over many individual events created with the Glauber event generator GLISSANDO [1], with runs using smooth events from an averaging of 500,000 GLISSANDO events
Summary
We have investigated the role of fluctuations and inhomogeneities on hard probes in nuclear collisions. We have used our software package PPM to propagate quarks and gluons created in hard processes through the background fireball. We compared runs of PPM averaged over many individual events (i.e. spatial distributions of the fireball density and the distribution of hard processes) created with the Glauber event generator GLISSANDO [1], with runs using smooth events from an averaging of 500,000 GLISSANDO events.
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