Speaker
Description
The fast evolution of the QGP makes its interaction with jets an inherently time-dependent process. However, this crucial dimension is missing from current jet quenching measurements, which hence provide a mere average quantification of the medium properties. In this talk, we propose that jet substructure observables allow access to the QGP time structure. By identifying the recursive steps of a novel jet clustering algorithm (the $\tau$-algorithm) with the sequence of branchings of the parton shower, we obtain an adequate proxy for a time axis within the medium. This enables us to label jets according to their formation time and select populations with enhanced sensitivity to quenching effects. We apply this technique to $Z$+jet simulated events using the JEWEL MC generator. Our results illustrate how this method minimizes the biases stemming from $p_t$-, $\Delta R$-, or mass-based selections.
