Quark Matter 2018

Hydrodynamic results of a Principal Component Analysis at sNN=2.76 TeV

15 May 2018, 17:00

2h 40m

First floor and third floor (Palazzo del Casinò)

Poster Collective dynamics Poster Session

Speaker

Mr Pedro Ishida (Instituto de Física da Universidade de São Paulo)

Description

We perform a principal component analysis (PCA) of $v_n(p_T)$ in event-by-event hydrodynamic simulations of Pb+Pb collisions at the Large Hadron Collider. PCA is a statistical technique for extracting the dominant components in fluctuating data. It was suggested to apply it to relativistic collisions [1] in order to extract the information from event-by-event fluctuations from the two-particle correlation matrix. A generalization was proposed in [2]. Its connection to initial geometry was studied in [3,4]. Here we make a comparison with the data recently presented by the CMS collaboration [5] for elliptic and triangular flows as well as multiplicity fluctuations.

References:
[1] Rajeev S. Bhalerao, Jean-Yves Ollitrault, Subrata Pal, Derek Teaney, Phys. Rev. Lett. 114, 152301 (2015), arXiv:1410.7739
[2] P. Bozek, arXiv:1711.07773
[3] Aleksas Mazeliauskas and Derek Teaney, Phys. Rev. C 91, 044902 (2015)
[4] Aleksas Mazeliauskas and Derek Teaney, Phys. Rev. C 93, 024913 (2016)
[5] CMS Collaboration, arXiv:1708.07133

Presentation materials

PedroIshidaQM2018poster.pdf