A theory of jet shapes and cross sections: from hadrons to nuclei
Ivan Vitev, Simon Wicks, Ben-Wei Zhang
TL;DR
The paper proposes jet shapes and jet cross sections as differential probes of QCD in the quark-gluon plasma, linking medium induced energy loss to observable jet structure under realistic experimental acceptance. It provides a vacuum baseline via LO, resummation, and power corrections for p-p collisions and then applies the GLV formalism to quantify medium induced radiation and the resulting energy-loss distributions. A central result is the energy sum rule and the observable $R_{AA}^{jet}(R^{max},\omega^{min})$, which captures how much of the lost energy is recovered within a jet cone and how jet observables respond to the medium. The study shows that even large jet attenuation can correspond to only modest broadening of the mean jet radius, with broadening more evident in the tails of the intra-jet energy flow, offering a path toward QGP tomography with high-statistics LHC data.
Abstract
For jets, with great power comes great opportunity. The unprecedented center of mass energies available at the LHC open new windows on the QGP: we demonstrate that jet shape and jet cross section measurements become feasible as a new, differential and accurate test of the underlying QCD theory. We present a first step in understanding these shapes and cross sections in heavy ion reactions. Our approach allows for detailed simulations of the experimental acceptance/cuts that help isolate jets in such high-multiplicity environment. It is demonstrated for the first time that the pattern of stimulated gluon emission can be correlated with a variable quenching of the jet rates and provide an approximately model-independent approach to determining the characteristics of the medium-induced bremsstrahlung spectrum. Surprisingly, in realistic simulations of parton propagation through the QGP we find a minimal increase in the mean jet radius even for large jet attenuation. Jet broadening is manifest in the tails of the energy distribution away from the jet axis and its quantification requires high statistics measurements that will be possible at the LHC.
