Prospects of Event Shape Sorting

TL;DR

Event Shape Sorting is a new method for organizing collision events based on their final state distributions, enabling detailed analysis of similar events and their evolution in high-energy physics.

Contribution

The paper introduces Event Shape Sorting, a novel approach distinct from Event Shape Engineering, to better group and analyze collision events with similar characteristics.

Findings

Event Shape Sorting effectively groups similar collision events.

The method enhances the analysis of collision evolution features.

Distinct from existing Event Shape Engineering techniques.

Abstract

Event Shape Sorting is a novel method which is devised to organise a sample of collision events in such a way, that events with similar final state distribution of hadrons end up sorted close to each other. Such events are likely to have evolved similarly. Thus the method allows to focus at finer features of the collision evolution because it would allow for averages over similar events that do not wash away these features. The algorithm is shortly explained. We also point out the distinction of Event Shape Sorting from the well established technique of Event Shape Engineering.