We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high- charged hadrons, mesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficient . 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. Published by the American Physical Society2024 
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                            Universal density shift coefficients for the thermal conductivity and shear viscosity of a unitary Fermi gas
                        
                    
    
            We measure universal temperature-independent density shifts for the thermal conductivity and shear viscosity , relative to the high temperature limits, for a normal phase unitary Fermi gas confined in a box potential. We show that a time-dependent kinetic theory model enables extraction of the hydrodynamic transport times and from the time-dependent free decay of a spatially periodic density perturbation, yielding the static transport properties and density shifts, corrected for finite relaxation times. Published by the American Physical Society2024 
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                            - Award ID(s):
- 2307107
- PAR ID:
- 10588029
- Publisher / Repository:
- American Physical Society
- Date Published:
- Journal Name:
- Physical Review Research
- Volume:
- 6
- Issue:
- 4
- ISSN:
- 2643-1564
- Subject(s) / Keyword(s):
- Fermi gas uniform density, unitary, hydrodynamics
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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