Speaker: Zhong Yang (CCNU)

Abstract: The jets are powerful probes of quark-gluon plasma (QGP). When a jet loses energy to the QGP medium, it induces the medium response resembling a Mach-cone-like excitation. Investigating this jet-induced medium response can help us to understand QGP properties. We have developed a 2D jet tomography method to localize the initial jet positions and enhance the signal of the jet-induced diffusion wake—an unambiguous part of the medium response. Additionally, we employ a neural network to assist this tomography. To further study the jet-induced diffusion wake, we carry out the simulation of its 3D structure, and investigate its sensitivity to QGP medium properties.  We also show that one can use the energy-energy correlators, a novel jet substructure observable,  to investigate jet-induced medium response and the short distance structure of QGP in heavy-ion collisions.