13-19 May 2018
Venice, Italy
Europe/Zurich timezone
The organisers warmly thank all participants for such a lively QM2018! See you in China in 2019!

Hydrodynamic results of a Principal Component Analysis at $\sqrt{s_{NN}}=2.76$ TeV

15 May 2018, 17:00
2h 40m
First floor and third floor (Palazzo del Casinò)

First floor and third floor

Palazzo del Casinò

Poster Collective dynamics Poster Session


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


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.

[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

Centralised submission by Collaboration Presenter name already specified
Content type Theory

Primary author

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


Frederique Grassi Fernando Gardim (Federal University of Alfenas) Dr Jean-Yves Ollitrault (Université Paris-Saclay)

Presentation Materials

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