Speaker
Description
Energy correlators have emerged as powerful jet substructure observables due to their ability to disentangle physics across scales, suppress soft contamination, and connect cleanly to underlying theory. While two-point correlators have received a lot of attention, higher-point correlators remain largely unexplored, in part because their evaluation is very computationally expensive in the high-multiplicity environment of heavy-ion collisions. We recently introduced a parametrization of higher-point correlators (Phys. Rev. Lett. 134 (2025) 23, 231902) that enables the rapid computation of projected higher-point correlators, retaining overall scale information while integrating out shape dependence, with the computational cost comparable to the two-point case.
Building on this framework, we introduce resolved energy correlators that are sensitive to detailed jet radiation patterns by retaining some of the shape information, while maintaining computational efficiency. We show their potential for studying aspects of jet-medium interactions, including medium response (the wake) and the quasi-particle nature of the medium (Molière scattering). Because a single jet already yields a non-trivial distribution for the energy correlator, we develop new statistical tools designed to capture subtle intra-event correlations to robustly quantify medium-modification effects.
| Is this an experimental talk? | No |
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| Is this on behalf of a collaboration? | No |
| Are you willing to present as a poster if it is not selected for oral presentation? | No |