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arXiv:1811.05048·v1·Nuclear Theory

Testing a best-fit hydrodynamical model using PCA

Tiago Nunes da Silva🇧🇷 · David Dobrigkeit Chinellato🇧🇷 · Rafael Derradi de Souza🇧🇷 · Mauricio Hippert🇧🇷 · Matthew Luzum🇧🇷 · Jorge Noronha🇧🇷 · Jun Takahashi🇧🇷

Abstract

Recently, a comprehensive Bayesian analysis was performed to simultaneously extract the values of a number of hydrodynamic parameters necessary for compatibility with a limited set of experimental data from the LHC. In this work, this best-fit model is tested against newly measured experimental flow results not included in the original work, namely the principal components of the two-particle correlation matrix in transverse momentum. The results from simulations show a good numerical agreement with data obtained by the CMS Collaboration.

Comments: 4 pages, 2 figures, Presented at Hot Quarks 2018 - Workshop for young scientists on the physics of ultrarelativistic nucleus-nucleus collisions, Texel, The Netherlands, September 7-14 2018, Submitted to MDPI Proceedings

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