Abstract
We present novel method for the organisation of events. The method is based on comparing event-by-event histograms of a chosen quantity Q that is measured for each particle in every event. The events are organised in such a way that those with similar shape of the Q-histograms end-up placed close to each other. We apply the method on histograms of azimuthal angle of the produced hadrons in ultrarelativsitic nuclear collisions. By selecting events with similar azimuthal shape of their hadron distribution one chooses events which are likely that they underwent similar evolution from the initial state to the freeze-out. Such events can more easily be compared to theoretical simulations where all conditions can be controlled. We illustrate the method on data simulated by the AMPT model.
Highlights
In ultrarelativistic heavy-ion collisions, the distribution of the produced hadrons reflects the dynamical state of the fireball at the time of its breakup
This is a clear indication of the differences in transverse expansion anisotropies which result from different initial conditions in each event
We return to the contemplation about possible more exclusive selection of events which can be compared to theoretical simulations
Summary
In ultrarelativistic heavy-ion collisions, the distribution of the produced hadrons reflects the dynamical state of the fireball at the time of its breakup. There are anisotropies of the hadron distributions which change from one event to another. In many data analyses one takes averages over a large number of events. Theoretical simulations must follow the same analysis procedure and so they usually must provide a large number of events which are averaged over.
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