# QM 2022

Apr 4 – 10, 2022
Auditorium Maximum UJ
Europe/Warsaw timezone

## Gradient Jet Tomography in heavy-ion collisions

Apr 6, 2022, 3:00 PM
20m
large aula A (Auditorium Maximum UJ)

### large aula A

#### Auditorium Maximum UJ

Oral presentation Jets, high-pT hadrons, and medium response

### Speaker

Yayun He (South China Normal University)

### Description

Transverse momentum broadening and energy loss of a propagating parton are dictated by the space-time profile of the jet transport coefficient $\hat{q}$ in a dense QCD medium. The spatial gradient of $\hat{q}$ perpendicular to the propagation direction can lead to a drift and asymmetry in parton transverse momentum distribution. Such an asymmetry depends on both the spatial position along the transverse gradient of the dense matter and path length of a propagating parton as shown by numerical solutions of the Boltzmann transport in the simplified form of a drift-diffusion equation. In high-energy heavy-ion collisions, this asymmetry with respect to a plane defined by the beam and trigger particle (photon, hadron, or jet) with a given orientation relative to the event plane is shown to be closely related to the transverse position of the initial jet production in full event-by-event simulations within the linear Boltzmann transport model. Such a gradient tomography can be used to localize the initial jet production position for a more detailed study of jet quenching and properties of the quark-gluon plasma along a given propagation path in heavy-ion collisions.

### Primary author

Dr Xin-Nian Wang (Lawrence Berkeley National Lab. (US))