Speaker
Description
Energy-Energy Correlators are a class of jet structure observables that has gained notoriety in recent years. These observables are designed and built from foundational concepts in field theory such as energy fluxes at varying resolution scales and are therefore a direct test of theoretical concepts with experimental measurements. With results from pretty much every experimental collaborations, past and present, in a variety of systems from small to large, we are now able to focus on what we are learning from this data especially with the two-point correlators. In this talk, we focus on heavy ion collisions and highlight the importance of higher point correlators and at the same time discuss how one can go about measuring them, possibly negating the impact of the fluctuating background. We also present a novel application of a machine learning model that is able to quantify the degree of quenching in a jet and use it categorize the varying observations from the n-point energy correlators.
| Category | Theory |
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