Testing a best-fit hydrodynamical model using PCA
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.
Cite
@article{arxiv.1811.05048,
title = {Testing a best-fit hydrodynamical model using PCA},
author = {Tiago Nunes da Silva and David Dobrigkeit Chinellato and Rafael Derradi de Souza and Mauricio Hippert and Matthew Luzum and Jorge Noronha and Jun Takahashi},
journal= {arXiv preprint arXiv:1811.05048},
year = {2018}
}
Comments
4 pages, 2 figures, Presented at Hot Quarks 2018 - Workshop for young scientists on the physics of ultrarelativistic nucleus-nucleus collisions, Texel, The Netherlands, September 7-14 2018, Submitted to MDPI Proceedings