Event Shape Analysis in ALICE

TL;DR

This paper introduces a shape variable-based method to identify and analyze specific event topologies, such as jets, in proton-proton collisions at 10 TeV, aiding in event selection for further analysis.

Contribution

It presents a novel approach using shape variables like thrust and recoil to discriminate event topologies, complementing existing jet reconstruction algorithms.

Findings

Method is sensitive to specific event topologies and high multiplicity.

Results are consistent at generator and reconstruction levels.

Can identify regions with particular jet topologies.

Abstract

The jets are the final state manifestation of the hard parton scattering. Since at LHC energies the production of hard processes in proton-proton collisions will be copious and varied, it is important to develop methods to identify them through the study of their final states. In the present work we describe a method based on the use of some shape variables to discriminate events according their topologies. A very attractive feature of this analysis is the possibility of using the tracking information of the TPC+ITS in order to identify specific events like jets. Through the correlation between the quantities: thrust and recoil, calculated in minimum bias simulations of proton-proton collisions at 10 TeV, we show the sensitivity of the method to select specific topologies and high multiplicity. The presented results were obtained both at level generator and after reconstruction. It remains that with any kind of jet reconstruction algorithm one will confronted in general with overlapping jets. The present method determines areas where one does encounter special topologies of jets in an event. The aim is not to supplant the usual jet reconstruction algorithms, but rather to allow an easy selection of events allowing then the application of algorithms.