Dense nuclear matter equation of state from heavy-ion collisions
The nuclear equation of state (EOS) is at the center of numerous theoretical and
experimental efforts in nuclear physics. With advances in microscopic theories for nuclear …
experimental efforts in nuclear physics. With advances in microscopic theories for nuclear …
Exploring QCD matter in extreme conditions with Machine Learning
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 …
problem-solving perspective for physics, offering new avenues for studying strongly …
[HTML][HTML] The present and future of QCD
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 …
of QCD research, based on the community inputs and scientific conclusions from the 2022 …
Hot QCD white paper
M Arslandok, SA Bass, AA Baty, I Bautista… - arXiv preprint arXiv …, 2023 - arxiv.org
Hot QCD physics studies the nuclear strong force under extreme temperature and densities.
Experimentally these conditions are achieved via high-energy collisions of heavy ions at the …
Experimentally these conditions are achieved via high-energy collisions of heavy ions at the …
Bayesian quantification of strongly interacting matter with color glass condensate initial conditions
A global Bayesian analysis of relativistic Pb+ Pb collisions at s NN= 2.76 TeV is performed,
using a multistage model consisting of an ip-glasma initial state, a viscous fluid dynamical …
using a multistage model consisting of an ip-glasma initial state, a viscous fluid dynamical …
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Owing to large pressure gradients at early times, standard hydrodynamic model simulations
of relativistic heavy-ion collisions do not become reliable until O (1) fm/c after the collision …
of relativistic heavy-ion collisions do not become reliable until O (1) fm/c after the collision …
A review on computer model calibration
Abstract Model calibration is crucial for optimizing the performance of complex computer
models across various disciplines. In the era of Industry 4.0, symbolizing rapid technological …
models across various disciplines. In the era of Industry 4.0, symbolizing rapid technological …
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
The Quark-Gluon Plasma (QGP) is a unique phase of nuclear matter, theorized to have filled
the Universe shortly after the Big Bang. A critical challenge in studying the QGP is that, to …
the Universe shortly after the Big Bang. A critical challenge in studying the QGP is that, to …
[PDF][PDF] Emukit: A Python toolkit for decision making under uncertainty
A Paleyes, M Mahsereci… - Python in Science …, 2023 - pdfs.semanticscholar.org
Emukit is a highly flexible Python toolkit for enriching decision making under uncertainty with
statistical emulation. It is particularly pertinent to complex processes and simulations where …
statistical emulation. It is particularly pertinent to complex processes and simulations where …
Bayesian analysis of (3+ 1) D relativistic nuclear dynamics with the RHIC beam energy scan data
This work presents a Bayesian inference study for relativistic heavy-ion collisions in the
Beam Energy Scan program at the Relativistic Heavy-Ion Collider. The theoretical model …
Beam Energy Scan program at the Relativistic Heavy-Ion Collider. The theoretical model …