From semi-hard processes to the unintegrated gluon distribution: a phenomenological path in the high-energy framework
arXiv:2109.03033
Abstract
The class of semi-hard reactions represents a promising venue where to enhance our knowledge of strong interactions and deepen the aspects related to this theory in kinematical regimes so far unexplored. In particular, the high energies reached in electron-proton and in proton-proton collisions first at HERA and then at the LHC, allow us to study scattering amplitudes of hard and semi-hard processes in perturbative QCD. The structure of this thesis can be considered twofold. On one hand, the possibility to distinguish those channels where at least two final-state particles are emitted with large separation in rapidity and with an untagged system, permits to test the BFKL dynamics as resummation energy logarithms in the -channel. In the BFKL formalism, the Mueller--Navelet jets process has been one of the most investigated reactions. With the idea of deepening our understanding of the BFKL approach, a new channel is proposed: the inclusive production of a light charged hadron and a jet with high transverse momentum widely separated in rapidity. The importance of this process relies in the possibility to probe a complementary region to one analyzed for the Mueller--Navelet jets. Additionally, another reaction is proposed: the heavy-quark pairs hadroproduction. On the other hand, also the class of processes featured by the detection of a single forward object in lepton-proton collision offers the opportunity to develop intriguing phenomenological studies. In particular, the exclusive leptoproduction of light vector mesons, and , is exhaustively investigated. In this context, the study of helicity-dependent observables allows us to discriminate among several unintegrated gluon distribution models, whose original definition naturally encodes the BFKL-equation evolution dynamics. This kind of parton density allows us to get access to the hadronic structure at small-.
195 pages, 48 figures, PhD thesis
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