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arXiv · 2207.14751

Bayesian quantification of the Quark-Gluon Plasma: Improved design and closure demonstration

Matthew Heffernan·Charles Gale·Sangyong Jeon·Jean-Francois Paquet
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Abstract

We present a demonstration of the design sampling and closure for the first comprehensive Bayesian model-to-data comparison of heavy-ion measurements with IP-Glasma initial conditions, in which we combine with state-of-the-art hydrodynamics (MUSIC), particlization (iS3D), and transport (SMASH). We further introduce a systematically-improvable method of sampling design points with better projection properties to explore the parameter space of the model for the first time in heavy-ion collisions.

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Matthew Heffernan, Charles Gale, Sangyong Jeon, Jean-Francois Paquet. 2022-07-29. Bayesian quantification of the Quark-Gluon Plasma: Improved design and closure demonstration. https://arxiv.org/abs/2207.14751

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