On feasibility of azimuthal flow studies with Principal Component Analysis
arXiv:2007.12524 · doi:10.1088/1742-6596/1602/1/012004
Abstract
It is shown that the Principal Component Analysis applied to azimuthal single-particle distributions allows to perform flow analysis in ways that are analogous to the traditional approaches based on multi-particle correlations. In particular, symmetric cumulants are considered. It is demonstrated also that statistical fluctuations due to a finite number of particles per event practically do not play a role for higher order PCA-based cumulants.
arXiv comment5 pages, 2 figures. Presented at WWND-2020
References in corpus (5)
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