Rapidity gap distribution of diffractive small-xp events at HERA and at the EIC
Lappi, T., Le, A. D., & Mäntysaari, H. (2023). Rapidity gap distribution of diffractive small-xp events at HERA and at the EIC. Physical Review D, 108(11), Article 114023. https://doi.org/10.1103/PhysRevD.108.114023
Julkaistu sarjassa
Physical Review DPäivämäärä
2023Tekijänoikeudet
© Authors 2023
We use the Kovchegov-Levin equation to resum contributions of large invariant mass diffractive final states to diffractive structure functions in the dipole picture of deep inelastic scattering. For protons we use a (modified) McLerran-Venugopalan model as the initial condition for the evolution, with free parameters obtained from fits to the HERA inclusive data. We obtain an adequate agreement to the HERA diffractive data in the moderately high-mass regimes when the proton density profile is fitted to the diffractive structure function data in the low-mass region. The HERA data is found to prefer a proton shape that is steeper than a Gaussian. The initial conditions are generalized to the nuclear case using the optical Glauber model. Strong nuclear modification effects are predicted in diffractive scattering off a nuclear target in kinematics accessible at the future Electron-Ion Collider. In particular, the Kovchegov-Levin evolution has a strong effect on the Q2-dependence of the diffractive cross section.
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Julkaisija
American Physical Society (APS)ISSN Hae Julkaisufoorumista
2470-0010Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/202857758
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Euroopan komissio; Suomen AkatemiaRahoitusohjelmat(t)
Akatemiatutkijan tutkimuskulut, SA; Huippuyksikkörahoitus, SA; Akatemiatutkija, SA; Akatemiahanke, SA
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Lisätietoja rahoituksesta
This work was supported by the Academy of Finland, the Centre of Excellence in Quark Matter (Project 346324) and Projects 338263 and 346567 (H. M), and 321840 (T. L). This work was also supported under the European Union’s Horizon 2020 research and innovation programme by the European Research Council (ERC, grant agreement No. ERC-2018-ADG-835105 YoctoLHC) and by the STRONG-2020 project (Grant Agreement No. 824093). ...Lisenssi
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