Quenching effects in the cumulative jet spectrum

TL;DR

This paper introduces a comprehensive analytic framework to study biases in jet spectra caused by medium modifications in heavy-ion collisions, incorporating various energy-loss effects and enabling improved jet classification and predictions.

Contribution

The paper develops the first detailed analytic model for quenched jet spectra, including multiple energy-loss effects and their impact on observables, with applications to jet classification and model comparisons.

Findings

Predictions for nuclear modification factor and cone size dependence.

Unfolding spectrum bias effects in dijet and boson+jet events.

Enhanced quark and gluon jet classification methods.

Abstract

The steeply falling jet spectrum induces bias on the medium modifications of jet observables in heavy-ion collisions. To explore this bias, we develop a novel analytic framework to study the quenched jet spectrum, and its cumulative. We include many energy-loss-related effects, such as soft and hard medium induced emissions, broadening, elastic scattering, jet fragmentation, cone size, coherence effects, etc. We show that, different jet spectrum-based observables are connected, e.g., the nuclear modification, spectrum shift, and the quantile procedure. We present the first predictions for the nuclear modification factor and the quantile procedure with cone size dependence. As an example, we compare dijet and boson+jet events to unfold the spectrum bias effects. We improve quark-, and gluon-jet classification using arguments based on the cumulative. Besides pointing out its flexibility, we apply our framework with other energy loss models such as the hybrid weak-, strong-coupling.