Bayesian MCMC fitting of a phenomenological model reveals that isospin asymmetry strongly suppresses alpha preformation probability in superheavy nuclei while reproducing shell effects and experimental half-lives.
Phenomenological constraints on the transport properties of QCD matter with data-driven model averaging
7 Pith papers cite this work. Polarity classification is still indexing.
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abstract
Using combined data from the Relativistic Heavy Ion and Large Hadron Colliders, we constrain the shear and bulk viscosities of quark-gluon plasma (QGP) at temperatures of ${\sim\,}150{-}350$ MeV. We use Bayesian inference to translate experimental and theoretical uncertainties into probabilistic constraints for the viscosities. With Bayesian Model Averaging we account for the irreducible model ambiguities in the transition from a fluid description of the QGP to hadronic transport in the final evolution stage, providing the most reliable phenomenological constraints to date on the QGP viscosities.
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Suppression of high-pT hadrons in peripheral Pb+Pb collisions is predominantly driven by initial-state geometric bias rather than final-state jet quenching.
Factorized sequential Bayesian updates on correlated pseudo-data produce systematic deviations from the joint posterior that increase with correlation strength, while exact conditional-likelihood updates match the joint result; an information decomposition attributes the mismatch to parameter-tuned,
Global analysis of HERA DIS and ALICE Pb+Pb data using saturation initial-state model determines early-time non-equilibrium η/s of QGP.
Derives four scattering kernels for quark energy loss in nuclei at NLO and NLT, incorporating Glauber quarks and gluons plus mass and coherence effects.
A holographic QCD model with dilaton-dependent Gauss-Bonnet corrections matches lattice thermodynamics and yields non-monotonic η/s plus a critical endpoint.
The paper discusses recent progress and open issues in multistage simulations connecting bulk evolution, conserved charges, strangeness, and heavy flavor to constrain QCD matter at finite density.
citing papers explorer
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Correlation between nuclear isospin asymmetry and $\alpha$-particle preformation probability for superheavy nuclei from a Bayesian inference
Bayesian MCMC fitting of a phenomenological model reveals that isospin asymmetry strongly suppresses alpha preformation probability in superheavy nuclei while reproducing shell effects and experimental half-lives.
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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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Sequential Bayesian inference with correlated heavy-ion datasets
Factorized sequential Bayesian updates on correlated pseudo-data produce systematic deviations from the joint posterior that increase with correlation strength, while exact conditional-likelihood updates match the joint result; an information decomposition attributes the mismatch to parameter-tuned,
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Constraining hot and cold nuclear matter properties from heavy-ion collisions and deep-inelastic scattering
Global analysis of HERA DIS and ALICE Pb+Pb data using saturation initial-state model determines early-time non-equilibrium η/s of QGP.
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Glauber quark and gluon contributions to quark energy loss at next-to-leading order and next-to-leading twist
Derives four scattering kernels for quark energy loss in nuclei at NLO and NLT, incorporating Glauber quarks and gluons plus mass and coherence effects.
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Thermodynamics and transport in holographic QCD with Gauss-Bonnet corrections
A holographic QCD model with dilaton-dependent Gauss-Bonnet corrections matches lattice thermodynamics and yields non-monotonic η/s plus a critical endpoint.
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Multistage dynamical modeling of heavy-ion collisions
The paper discusses recent progress and open issues in multistage simulations connecting bulk evolution, conserved charges, strangeness, and heavy flavor to constrain QCD matter at finite density.