Analysis of HERA data with a PDF parametrization inspired by quantum statistical mechanics
Marco BonviniFranco BuccellaFrancesco GiuliFederico Silvetti
Marco BonviniFranco BuccellaFrancesco GiuliFederico Silvetti
Nov 2023
0被引用
0笔记
摘要原文
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 $\bar d$ distribution larger than $\bar u$, 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, opening up the possibility of a simultaneous fit with the same number of parameters. The results of this study can motivate future work in this direction.
