30 September 2018 to 5 October 2018
Aix-Les-Bains, Savoie, France
Europe/Zurich timezone
PROCEEDINGS OPEN UNTIL DECEMBER 15th 2018

Data-driven constraints on the drag and diffusion of light partons

2 Oct 2018, 17:45
20m
Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Congress Center Student Lectures Day: September 30 at CERN
2a) Jets and high-pT hadrons (TALK) Parallel 1

Speaker

Tianyu Dai (Duke University)

Description

The momentum exchanged by hard partons with the quark-gluon plasma ranges from frequent soft interactions to rare large angle scatterings. The larger number of soft interactions makes possible an effective stochastic description of parton-plasma interactions in terms of a small number of transport coefficients, drag and diffusion~[1]. In this work, we study jet energy loss in heavy ion collisions using a combined stochastic and large angle scattering parton energy loss model, building on the systematic division between soft and hard parton-plasma interactions derived for a high temperature plasma in Ref. [2]. We use a Bayesian analysis to perform a first systematic extraction of the transport properties of light partons propagating in a quark-gluon plasma, constraining the temperature dependence of the drag and diffusion coefficients by comparison with data. We further study the dependence of this result on the separation of scale between soft and hard parton-plasma interactions.

[1] Moore and Teaney, Phys.Rev.C71:064904 (2005)
[2] Ghiglieri, Moore and Teaney, JHEP1603:095 (2016)

Authors

Tianyu Dai (Duke University) Steffen A. Bass (Duke University) Jean-Francois Paquet (Duke University) Derek Teaney (Stony Brook University)

Presentation materials