In recent years, machine learning has emerged as a powerful computational tool and novel problem-solving perspective for physics, offering new avenues for studying strongly …
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∼ …
Abstract The Beam Energy Scan Theory (BEST) Collaboration was formed with the goal of providing a theoretical framework for analyzing data from the Beam Energy Scan (BES) …
S Cao, Y Chen, J Coleman, J Mulligan, PM Jacobs… - Physical Review C, 2021 - APS
We report a new determination of q ̂, the jet transport coefficient of the quark-gluon plasma. We use the JETSCAPE framework, which incorporates a novel multistage theoretical …
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of …
In this review, we provide an up-to-date account of quantitative bottom-up holographic descriptions of the strongly coupled quark-gluon plasma (QGP) produced in relativistic …
P Achenbach, D Adhikari, A Afanasev, F Afzal… - Nuclear Physics A, 2024 - Elsevier
Abstract This White Paper presents an overview of the current status and future perspective of QCD research, based on the community inputs and scientific conclusions from the 2022 …
Emergent bulk properties of matter governed by the strong nuclear force give rise to physical phenomena across vastly different scales, ranging from the shape of atomic nuclei to the …
AD Gallegos, U Gürsoy, A Yarom - SciPost Physics, 2021 - scipost.org
We study relativistic hydrodynamics in the presence of a non vanishing spin chemical potential. Using a variety of techniques we carry out an exhaustive analysis, and identify the …