Marco Bonvini
Analysis of HERA data with a PDF parametrization inspired by quantum statistical mechanics
Bonvini, Marco; Buccella, Franco; Giuli, Francesco; Silvetti, Federico
Authors
Franco Buccella
Francesco Giuli
Federico Silvetti federico.silvetti@durham.ac.uk
Postdoctoral Research Associate
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 d¯ distribution larger than 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.
Citation
Bonvini, M., Buccella, F., Giuli, F., & Silvetti, F. (2024). Analysis of HERA data with a PDF parametrization inspired by quantum statistical mechanics. The European Physical Journal C, 84(5), 541. https://doi.org/10.1140/epjc/s10052-024-12852-0
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 28, 2024 |
Online Publication Date | May 29, 2024 |
Publication Date | May 29, 2024 |
Deposit Date | Jun 10, 2024 |
Publicly Available Date | Jun 10, 2024 |
Journal | The European Physical Journal C |
Print ISSN | 1434-6044 |
Electronic ISSN | 1434-6052 |
Publisher | SpringerOpen |
Peer Reviewed | Peer Reviewed |
Volume | 84 |
Issue | 5 |
Pages | 541 |
DOI | https://doi.org/10.1140/epjc/s10052-024-12852-0 |
Public URL | https://durham-repository.worktribe.com/output/2471714 |
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