In recent years, energy correlators have emerged as powerful tools for studying jet substructure, owing to several remarkable properties: they naturally separate physics at different scales, are robust to contamination from soft radiation, and offer a direct connection with quantum field theory. Recently, energy correlators have been measured across a wide range of collider experiments, yielding the most precise determination of the strong coupling from jet substructure observables. Nevertheless, the standard parametrization of energy correlators relies on redundant pairwise angles with complex phase space restrictions, which hampers their full potential, particularly in analyses of experimental data.
In this talk, I will present a new parametrization of energy correlators that introduces a simpler phase space structure and preserves information about the orientation of jet constituents. This approach drastically reduces the computational cost to compute energy correlators on experimental data and simplifies theoretical computation of arbitrary N-point correlators. Using this new paramterization, I will first show an extraction of the anomalous dimensions from the CMS Open Data compared against theoretical predictions. I will also present an estimate of the non-perturbative contributions to arbitrary N-point correlators. Furthermore, I will show generalizations of our new parametrization that enable novel visualizations of energy flow within jets; offering promising new avenues for jet discrimination. Finally, I will highlight some preliminary results on applying our new paramterization to study jet modifications in heavy-ion collision environments.