Back to Search Start Over

Testing a best-fit hydrodynamical model using PCA

Authors :
da Silva, Tiago Nunes
Chinellato, David Dobrigkeit
de Souza, Rafael Derradi
Hippert, Mauricio
Luzum, Matthew
Noronha, Jorge
Takahashi, Jun
Publication Year :
2018

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.<br />Comment: 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

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1811.05048
Document Type :
Working Paper