First complete numerical solution of BDMPS-Z equations for in-medium QCD splittings, going beyond soft, large-Nc and harmonic-oscillator approximations.
Apolin´ ario, R
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In large-Nc and harmonic oscillator limits, medium-induced splittings are computed analytically double-differential in z and θ, with an improved semi-hard approximation validated for high-energy partons.
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.
Energy-energy correlators in heavy-ion collisions exhibit classical hydrodynamic scaling from collective flow at large angles within the small-angle regime, collective modes at smaller angles, and light-ray OPE at even smaller angles.
An LSTM model trained on simulated jet substructure learns to predict true jet energy loss and distinguishes quenching signatures even after realistic detector effects are applied.
citing papers explorer
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In-medium QCD splittings beyond the soft, large-$N_c$ and harmonic-oscillator approximations all at once
First complete numerical solution of BDMPS-Z equations for in-medium QCD splittings, going beyond soft, large-Nc and harmonic-oscillator approximations.
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Full energy fraction and angular dependence of medium-induced splittings in the large-$N_c$ limit
In large-Nc and harmonic oscillator limits, medium-induced splittings are computed analytically double-differential in z and θ, with an improved semi-hard approximation validated for high-energy partons.
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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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Hydrodynamics and Energy Correlators
Energy-energy correlators in heavy-ion collisions exhibit classical hydrodynamic scaling from collective flow at large angles within the small-angle regime, collective modes at smaller angles, and light-ray OPE at even smaller angles.
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Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions
An LSTM model trained on simulated jet substructure learns to predict true jet energy loss and distinguishes quenching signatures even after realistic detector effects are applied.