1 de outubro de 2020 | Publicações

Testing a Best-Fit Hydrodynamical Model Using PCA

Tiago Silva, David Chinellato, Rafael Souza, Maurício Hippert, Matthew Luzum, Jorge Noronha, Jun Takahashi

Proceedings

10/04/2019

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.

10.3390/proceedings2019010005