Applications of emulation and Bayesian methods in heavy-ion physics

JF Paquet - Journal of Physics G: Nuclear and Particle Physics, 2024 - iopscience.iop.org
Heavy-ion collisions provide a window into the properties of many-body systems of
deconfined quarks and gluons. Understanding the collective properties of quarks and …

Efficient emulation of relativistic heavy ion collisions with transfer learning

D Liyanage, Y Ji, D Everett, M Heffernan, U Heinz… - Physical Review C, 2022 - APS
Measurements from the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider
(RHIC) can be used to study the properties of quark-gluon plasma. Systematic constraints on …

Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma

K Li, S Mak, JF Paquet, SA Bass - arXiv preprint arXiv:2306.07299, 2023 - arxiv.org
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 effect of causality constraints on Bayesian analyses of heavy-ion collisions

TS Domingues, R Krupczak, J Noronha… - arXiv preprint arXiv …, 2024 - arxiv.org
There have long been questions about the limits to the validity of relativistic fluid dynamics,
and whether it is being used outside its regime of validity in modern simulations of relativistic …

[图书][B] Quantification of the Quark-Gluon Plasma with statistical learning

MRH Heffernan - 2022 - search.proquest.com
Heavy ion collisions performed at facilities such as the Large Hadron Collider (LHC) and the
Relativistic Heavy Ion Collider (RHIC) produce the hottest matter in the universe at∼ 10 12 …

Multifaceted study of ultrarelativistic heavy ion collisions

DP Liyanage - 2023 - rave.ohiolink.edu
The advent of multiple successfully calibrated models for relativistic heavy-ion collisions
demands a clear strategy based on rigorous statistical principles to utilize them all in …