Statistical analysis of pQCD energy loss across system size, flavor, $\sqrt{s_{NN}}$, and $p_T$
Coleridge Faraday, W. A. Horowitz

TL;DR
This paper uses a pQCD-based model to analyze high-$p_T$ suppression across different collision systems, constraining the strong coupling constant and comparing predictions with experimental data from RHIC and LHC.
Contribution
It introduces a comprehensive statistical analysis of energy loss predictions, including system size, flavor, and energy dependence, with new insights into theoretical uncertainties and small-system behavior.
Findings
Good agreement with large-system suppression data
Discrepancy with small-system measurements explained by centrality bias
Predictions for small systems suggest disentangling initial and final-state effects
Abstract
We present suppression predictions from our pQCD-based energy loss model, which receives small system size corrections, for high- , and meson as a function of centrality, flavor, , and from large to small collision systems at RHIC and LHC. A statistical analysis is used to constrain the effective strong coupling in our model to available high- suppression data from central heavy-ion collisions at RHIC and LHC, yielding good agreement with all available data. We estimate two important theoretical uncertainties in our model, stemming from: the transition between vacuum and hard thermal loop propagators in the collisional energy loss, and from the angular cutoff on the radiated gluon momentum. We find, consistently, that the extracted remains relatively unchanged across heavy- and light-flavor final states and across central,…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions
