Bayesian constraints on early-time jet quenching from large collision systems yield predictions of measurable energy loss in oxygen-oxygen collisions.
From Hydrodynamics to Jet Quench- ing, Coalescence, and Hadron Cascade: A Coupled Approach to Solving the RAA⊗v2 Puzzle
5 Pith papers cite this work. Polarity classification is still indexing.
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abstract
Hydrodynamics and jet quenching are responsible for the elliptic flow $v_2$ and suppression of large transverse momentum ($p_T$) hadrons, respectively, two of the most important phenomena leading to the discovery of a strongly coupled quark-gluon plasma (QGP) in high-energy heavy-ion collisions. A consistent description of the hadron suppression factor $R_{AA}$ and $v_2$, especially at intermediate $p_T$, however, remains a challenge. We solve this long-standing $R_{AA}\otimes v_2$ puzzle by including quark coalescence for hadronization and final state hadron cascade in the coupled linear Boltzmann transport-hydro model that combines concurrent jet transport and hydrodynamic evolution of the bulk medium. We illustrate that quark coalescence and hadron cascade, two keys to solving the puzzle, also lead to a splitting of $v_2$ for pions, kaons and protons in the intermediate $p_T$ region. We demonstrate for the first time that experimental data on $R_{AA}$, $v_2$ and their hadron flavor dependence from low to intermediate and high $p_T$ in high-energy heavy-ion collisions can be understood within this coupled framework.
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A multi-stage CoLBT-hydro simulation with a 2 GeV medium scale reproduces the CMS in-jet EEC and predicts rank- and rapidity-gap-dependent modifications that encode path length and the diffusion wake.
A conditional flow-matching model trained on CoLBT-hydro reproduces marginal γ-jet medium-response hadron spectra in 0–10% Pb+Pb at 5.02 TeV with ~10⁶× speedup while preserving front and diffusion-wake statistics.
Suppression of high-pT hadrons in peripheral Pb+Pb collisions is predominantly driven by initial-state geometric bias rather than final-state jet quenching.
The work presents a dispersive fit for the refractive index of liquid argon incorporating anomalous dispersion and proposes jet drift in simulations of heavy-ion collisions as a way to disentangle medium properties from energy loss.
citing papers explorer
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Bayesian Constraints on Pre-Equilibrium Jet Quenching and Predictions for Oxygen Collisions
Bayesian constraints on early-time jet quenching from large collision systems yield predictions of measurable energy loss in oxygen-oxygen collisions.
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Energy-energy correlators inside single inclusive jets in heavy-ion collisions with CoLBT-hydro model
A multi-stage CoLBT-hydro simulation with a 2 GeV medium scale reproduces the CMS in-jet EEC and predicts rank- and rapidity-gap-dependent modifications that encode path length and the diffusion wake.
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Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model
A conditional flow-matching model trained on CoLBT-hydro reproduces marginal γ-jet medium-response hadron spectra in 0–10% Pb+Pb at 5.02 TeV with ~10⁶× speedup while preserving front and diffusion-wake statistics.
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Geometric Bias and Centrality Dependence of Jet Quenching in High-Energy Nuclear Collisions
Suppression of high-pT hadrons in peripheral Pb+Pb collisions is predominantly driven by initial-state geometric bias rather than final-state jet quenching.
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Medium Characterization with Hard Probes: From Cherenkov Light in QED to Jet Drift in QCD
The work presents a dispersive fit for the refractive index of liquid argon incorporating anomalous dispersion and proposes jet drift in simulations of heavy-ion collisions as a way to disentangle medium properties from energy loss.