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A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression

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arxiv 2307.09641 v2 pith:WAF37U72 submitted 2023-07-18 hep-ph nucl-exnucl-th

classification hep-phnucl-exnucl-th
keywords bayesianmetricmultistageapproachcomparisonhighimprovinginclusive
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium DGLAP evolution at high virtuality, and (linearized) Boltzmann Transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high $p_T$ charged hadrons, D-mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient $\hat{q}$. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Constraining Jet Quenching in Heavy-Ion Collisions with Bayesian Inference

    hep-ph 2024-11 conditional novelty 6.0 of 10

    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.

  2. Hybrid Hadronization -- A Study of In-Medium Hadronization of Jets

    hep-ph 2025-01 conditional novelty 5.0 of 10

    Hybrid Hadronization converts a substantial part of jet fragmentation in a QGP brick into shower-thermal recombination, which grows with medium size, carries collective flow, and boosts baryon/meson ratios.

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