Testing a Best-Fit Hydrodynamical Model Using PCA

oleh: Tiago Nunes da Silva, David Dobrigkeit Chinellato, Rafael Derradi de Souza, MaurĂ­cio Hippert, Matthew Luzum, Jorge Noronha, Jun Takahashi

Format: Article
Diterbitkan: MDPI AG 2019-04-01

Deskripsi

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.