The effect of causality constraints on Bayesian analyses of heavy-ion collisions
Thiago S. Domingues, Renata Krupczak, Jorge Noronha, Tiago Nunes da, Silva, Jean-Fran\c{c}ois Paquet, and Matthew Luzum

TL;DR
This paper investigates how enforcing causality constraints in Bayesian analyses of heavy-ion collisions affects inferred medium properties, revealing that strict causality limits significantly alter initial condition preferences and extracted viscosities.
Contribution
It introduces a causality-based criterion into Bayesian parameter estimation for heavy-ion collisions, showing its impact on inferred physical properties.
Findings
Strict causality limits change initial condition preferences.
Large bulk viscosities are disfavored under causality constraints.
Causality considerations are crucial for accurate medium property extraction.
Abstract
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 heavy-ion collisions. An important new tool for answering this question is a causality analysis in the nonlinear regime -- if the solutions of the evolution equations do not respect relativistic causality, they are not a faithful representation of the underlying relativistic theory (in this case, quantum chromodynamics). Using this non-linear criterion, it has recently been shown that hydrodynamics is indeed being used outside its regime of validity in simulations, at least sometimes. Here we explore the phenomenological implications, particularly the quantitative effects of demanding limits on acausality in modern Bayesian parameter estimation. We find that, while typically only a small fraction…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Methods and Bayesian Inference · High-Energy Particle Collisions Research · Bayesian Methods and Mixture Models
