  In this manuscript, we illustrate how to use the newly proposed $\tau$
re-clustering algorithm to select jets with different degrees of quenching
without biasing their initial transverse momentum spectrum. Our study is based
on Z+jet simulated events using the JEWEL Monte Carlo event generator to
account for jet quenching effects. We apply the $\tau$ re-clustering algorithm
to extract a proxy for a time axis (formation time) within the evolving medium.
This information allows us to label jets according to their fragmentation
pattern and select populations with enhanced sensitivity to quenching effects.
Our results illustrate the potential of jets as precision tools for QGP
tomography. Further, we show that the discussed method minimizes the biases
stemming from $p_{T}$-, $dR$- or mass-based jet selection.
