Speaker
Description
Parton Distribtions Functions (PDFs) are a pivotal input in every theoretical prediction involving initial-state protons, from hadron collider to neutrino telescopes. These objects are usually determined throught fits to experimental data, leaving a large degree of freedom in the choice of the best functional form to be used and in the starting energy reference scale.
In this talk we discuss the first fully data driven test of a PDF parametrisation inspired by fundamental distributions in quantum statistics [Franco Buccella et al J. Stat. Mech. (2019) 073302]. We will show the results of our fit to the PDFs using the HERA collider dataset with the \textt{xfitter} collaboration framework and then compare the overall fit performance against the HERAPDF parametrization.
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