Speaker
Description
Jet substructure applied to a heavy-ion environment can provide valuable information about jet-medium interaction. This class of observables, mostly inherited from proton-proton collisions, is still far from being fully exploited as a tool for QGP tomography. So far, measurements are restricted to quantities that provide an average quantification of the medium parameters, missing the critical fast time evolution experienced by the QGP. In this talk, we use a novel clustering tool based on the concept of a parton formation time [1] to select samples with enhanced sensitivity to jet quenching effects. We show that we can overcome the effects of jet selection biases that make the current interpretation of jet results challenging. Moreover, we further explore the link of the jet clustering scale to the QGP time structure by using the information of the first and second steps of the jet clustering sequence. The output allows to select jets with the potential to provide time-differential measurements of the created medium.
[1] L. Apolinário, A. Cordeiro, K. Zapp, Eur.Phys.J.C 81 (2021) 6, 561
