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🇧🇷
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.