Principal Component Analysis

Principal Component Analysis

PCA is a statistical technique allowing to decompose multidimensional data into most significant components. We show that the subleading elliptic flow in peripheral collisions is dominated by the nonlinear mixing between the leading elliptic flow and radial flow fluctuations.

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Aleksas Mazeliauskas
Theoretical Physicists

I am a theoretical physicists interested in the properties of dense QCD matter.

Publications

We analyze the spectrum of harmonic flow, vn(pT) for n=0–5, in event-by-event hydrodynamic simulations of Pb+Pb collisions at the CERN …

We perform a principal component analysis (PCA) of v3(pT) in event-by-event hydrodynamic simulations of Pb+Pb collisions at the Large …

Talks