Longitudinal Dynamics of Large and Small Systems from a 3D Bayesian Calibration of RHIC Top-energy Collision Data
A. Mankolli, C. Shen, M. Luzum, J.-F. Paquet, M. Singh, J. Velkovska, S. A. Bass, C. Gale, G. A. C. da Silva, L. Du, L. Kasper, G. S. Rocha, D. Soeder, S. Tuo, G. Vujanovic, X. Wu, W. Zhao, M. Chartier, Y. Chen, R. Datta, R. Dolan, R. Ehlers, H. Elfner, R. J. Fries, D. A. Hangal

TL;DR
This paper presents a comprehensive Bayesian analysis of 3D dynamics in high-energy nuclear collisions at RHIC, calibrating models with extensive data to understand initial states and transport properties, and making predictions for small systems.
Contribution
It introduces a fully 3D multi-stage simulation framework calibrated with diverse RHIC data, emphasizing rapidity-dependent measurements and differences between large and small collision systems.
Findings
Constraints on initial state and transport properties from rapidity-dependent data
Differences in calibration between large and small systems
Predictions for p-Au and 3He-Au collisions
Abstract
A comprehensive Bayesian analysis of the 3D dynamics of high-energy nuclear collisions is presented. We perform a systematic model-to-data comparison using simulations of large and small collision systems, and a broad range of measurements from the PHENIX, STAR, PHOBOS, and BRAHMS collaborations spanning nearly two decades of RHIC operations. In particular, we perform fully 3D multi-stage simulations including rapidity-dependent energy deposition with global energy conservation using the 3D Glauber model, along with relativistic viscous hydrodynamics with MUSIC. We calibrate the model on rapidity- and -differential observables and analyze the respective constraints on initial state and transport properties they provide. We emphasize the additional constraints provided by rapidity-dependent measurements, the differences in large and small system calibrations, and the tension…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Statistical Mechanics and Entropy · Magnetic confinement fusion research
