3 years ago

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.

Publisher URL: http://arxiv.org/abs/1811.05048

DOI: arXiv:1811.05048v1

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