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

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arxiv 1404.2372 v1 pith:PM7BSKKJ submitted 2014-04-09 hep-ph

Eleazar Cuautle , Raul Jimenez , Ivonne Maldonado , Antonio Ortiz , Guy Paic , Edgar Perez This is my paper · ORCID
classification hep-ph
keywords softeventshardapproachcollisionscolordataflow-like
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Intrinsic coupling between transverse spherocity and elliptic flow in heavy-ion collisions

    nucl-th 2026-07 conditional novelty 6.0 of 10

    In heavy-ion collisions the axis minimizing transverse spherocity aligns with the elliptic-flow plane, so S0 approximately equals (1 - 2/3 v2)^2 and low-S0 events are high-v2 events rather than jet-rich events.

  2. Event Topology Classifiers at the Large Hadron Collider

    hep-ph 2025-06 unverdicted novelty 2.0 of 10

    A review article summarizing the motivation, definitions, and experimental use of infrared-safe event topology classifiers at the LHC across collision systems.

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