English

Analysis of HERA data with a PDF parametrization inspired by quantum statistical mechanics

High Energy Physics - Phenomenology 2024-05-31 v2

Abstract

We present a determination of the parton distribution functions (PDFs) of the proton from HERA data using a PDF parametrization inspired by a quantum statistical model of the proton dynamics. This parametrization is characterised by a very small number of parameters, yet it leads to a reasonably good description of the data, comparable with other parametrizations on the market. It may thus provide an alternative to standard parametrizations, useful for studying parametrization bias and to possibly simplify the fit procedure thanks to the small number of parameters. Interestingly, the model reproduces key physical features, such as a dˉ\bar d distribution larger than uˉ\bar u, that HERA data alone are not able to constrain when using more flexible parametrizations. Moreover, polarized distributions are described in the model by the same parameters of the unpolarized ones, giving us the possibility of extracting both types of distributions within the same fit.

Keywords

Cite

@article{arxiv.2311.08785,
  title  = {Analysis of HERA data with a PDF parametrization inspired by quantum statistical mechanics},
  author = {Marco Bonvini and Franco Buccella and Francesco Giuli and Federico Silvetti},
  journal= {arXiv preprint arXiv:2311.08785},
  year   = {2024}
}

Comments

35 pages, 15 figures. New studies with polarized PDF and fits with more data. EPJC version

R2 v1 2026-06-28T13:21:48.701Z