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Quenching effects in the cumulative jet spectrum
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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.
Forward citations
Cited by 4 Pith papers
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High-Dimensional Unfolding in Large Backgrounds
OmniFold-HI, an ML unfolding algorithm that handles large backgrounds and high-dimensional auxiliary observables, is derived, shown equivalent to iterative Bayesian unfolding, and demonstrated to improve jet-substruct...
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Constraining Jet Quenching in Heavy-Ion Collisions with Bayesian Inference
A Bayesian fit to LHC jet data claims a universal jet energy-loss distribution and super-Casimir color dependence, but the color result depends on a theory-informed prior.
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Non-linear dynamics of jet quenching
Jet energy loss out of the cone is governed by a non-linear rate equation whose solution feeds a non-linear DGLAP evolution, enabling resummation of alpha_s ln(1/R), alpha_s ln(R/theta_c), and powers of alpha_s L.
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Theory Summary
A conference summary paper reports selected theory results from Quark Matter 2025 in heavy-ion physics, with no new original research.
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