Classical information entropy of parton distribution functions and an application in searching gluon saturation
Rong Wang

TL;DR
This paper introduces a definition of classical information entropy for parton distribution functions, explores its properties, and applies it to gluon distributions in protons to identify signals of gluon saturation.
Contribution
It proposes a new entropy measure for parton distributions and analyzes its evolution, providing a novel tool for detecting gluon saturation phenomena.
Findings
Entropy of gluon distribution shows distinctive features in the saturation domain
The entropy exhibits extensive and super-additive properties
Concavity of the entropy is established
Abstract
Entropy or information is a fundamental quantity contained in a system in statistical mechanics and information theory. In this paper, a definition of classical information entropy of parton distribution functions is suggested. The extensive and supper-additive properties of the defined entropy are discussed. The concavity is also deduced for the defined entropy. As an example, the classical information entropy of the gluon distribution of the proton is presented. There are some particular features of the evolution of the information entropy in the saturating domain, which could be used in finding the signals of gluon saturation.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Computational Physics and Python Applications · Gaussian Processes and Bayesian Inference
