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Principal component analysis of event-by-event fluctuations
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We apply principal component analysis to the study of event-by-event fluctuations in relativistic heavy-ion collisions. This method brings out all the information contained in two-particle correlations in a physically transparent way. We present a guide to the method, and apply it to multiplicity fluctuations and anisotropic flow, using ALICE data and simulated events. In particular, we study elliptic and triangular flow fluctuations as a function of transverse momentum and rapidity. This method reveals previously unknown subleading modes in both rapidity and transverse momentum for the momentum distribution as well as elliptic and triangular flows.
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Forward citations
Cited by 2 Pith papers
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Thermal and geometric normal modes of spectral fluctuations in heavy-ion collisions
Principal component analysis of spectral fluctuations in heavy-ion collisions yields thermal and geometric normal modes that explain 99.5% of variance and account for measured flow observables v0(pT) and v02(pT).
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Effectiveness of nonflow suppression using multi-particle correlators
Toy models show multi-particle correlators can increase rather than reduce deviation from true flow harmonics in small collision systems.
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