Article (Scientific journals)
A multi-channel U-Matrix model of hadron interaction at high energy
Oueslati, Rami
2023In Journal of High Energy Physics, 2023 (8)
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Keywords :
Deep Inelastic Scattering or Small-x Physics; Specific QCD Phenomenology; Nuclear and High Energy Physics
Abstract :
[en] The present phenomenological study investigates a multi-channel model of high-energy hadron interactions by considering a full parton configurations space and the U-matrix unitarisation scheme of the elastic amplitude, comparing it to the two-channel model, and examining the consequences of up-to-date high-energy collider data on the best fits to various hadronic observables in pp and pp¯ collisions. The findings of this study reveal that the data are well-fitted with the multi-channel model and that the difference compared to the two-channel one is negligible. Of particular significance is the observation that the U-matrix unitarisation is likely incompatible with uncorrelated pomeron exchange, as suggested by the equivalence between the U-matrix multi-channel and eikonal two-channel descriptions. Based on our best fit, predictions for the ρ parameter, the double diffractive cross-section, and the elastic differential cross-section are provided. We shed light on the effect of taking into account a multi-channel model on present and future cosmic ray data.
Disciplines :
Physics
Author, co-author :
Oueslati, Rami  ;  Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR)
Language :
English
Title :
A multi-channel U-Matrix model of hadron interaction at high energy
Publication date :
August 2023
Journal title :
Journal of High Energy Physics
ISSN :
1126-6708
eISSN :
1029-8479
Publisher :
Springer Science and Business Media Deutschland GmbH
Volume :
2023
Issue :
8
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
RO would like to thank Prof. Jean-René Cudell for his invaluable comments and fruitful discussions. Special thanks go to the computational resource provided by Consortium des Équipements de Calcul Intensif (CÉCI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) where a part of the computational work was carried out.
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since 28 August 2023

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