Event shape sorting

Abstract

We propose a novel method for sorting events of multiparticle production according to the azimuthal anisotropy of their momentum distribution. Although the method is quite general, we advocate its use in analysis of ultra-relativistic heavy-ion collisions where large number of hadrons is produced. The advantage of our method is that it can automatically sort out samples of events with histograms that indicate similar distributions of hadrons. It takes into account the whole measured histograms with all orders of anisotropy instead of a specific observable (e.g. $v_2$, $v_3$, $q_2$). It can be used for more exclusive experimental studies of flow anisotropies which are then more easily compared to theoretical calculations. It may also be useful in the construction of mixed-events background for correlation studies as it allows to select events with similar momentum distribution.

11 pages, 7 figures, to appear in European Physical Journal A, section added in v2 with analysis of AMPT-generated events

References in corpus (4)

• HistFitter software framework for statistical data analysis
• Studies of azimuthal dihadron correlations in ultra-central PbPb collisions at sqrt(s[NN]) = 2.76 TeV
• Shape and flow fluctuations in ultra-central Pb+Pb collisions at the LHC
• Measures and Mismeasures of Scientific Quality

Cited by in corpus (7)

• Higher-order anisotropies in the Blast-Wave Model - disentangling flow and density field anisotropies
• Higher order anisotropies in the Buda-Lund model: Disentangling flow and density field anisotropies
• The effect of momentum deposition during fireball evolution on flow anisotropy
• Observables of non-equilibrium phase transition
• Event Shape Sorting: selecting events with similar evolution
• Fluctuating shapes of the fireballs in heavy-ion collisions
• Prospects of Event Shape Sorting