Disentangling the soft and hard components of the pp collisions using the sphero(i)city approach

2014/04/09 by Eleazar Cuautle, Raul Jimenez, Raúl Jiménez +12
Computer Science · Physics and Astronomy · #Computational Geometry and Mesh Generation #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Image Processing and 3D Reconstruction #Optimization and Search Problems #hep-ph

paper · pdf · doi:10.48550/arxiv.1404.2372

4 pages, 4 figures

arxiv created 2014/04/09 · openalex publication_date 2014/04/09 · arxiv updated 2014/04/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A new method to extract information from the pp data is proposed. The approach is based on the use of the event structure variables: sphericity and spherocity, to split the data into enhanced soft and hard processes samples corresponding to events with large and low numbers of multi-parton interactions, respectively. The present study was developed in the framework of Pythia 8.180 for inelastic pp collisions at sqrt(s) =7 TeV. As an application of the method, a study of the identified particle transverse momentum spectra and their ratios; is presented for soft (isotropic) and hard (jetty-like) events. The flow-like effect on these observables due to multi-parton interactions and color reconnection is relevant for soft events suggesting that partons inside the jet do not feel color reconnection and its flow-like consequences.

Related

• Investigating the most active pp collisions (top 0.1%) using the tools developed by experiments at the LHC
• Jet effects in high-multiplicity pp events
• Multi-parton interactions in pp collisions using charged-particle flattenicity with ALICE
• First implementation of transverse spherocity analysis for heavy-ion collisions at the Large Hadron Collider energies
• A look into the "hedgehog" events in pp collisions using a new event shape -- flatenicity