Testing a Best-Fit Hydrodynamical Model Using PCA

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

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish (US)
Number of pages5
Issue number1
StatePublished - Apr 10 2019
Externally publishedYes


  • heavy-ion collisions
  • quark-gluon plasma
  • relativistic fluid dynamics
  • principal component analysis


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