Journal
PHYSICS LETTERS B
Volume 813, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physletb.2020.136021
Keywords
Pion parton distributions; Statistical approach; Drell-Yan process
Funding
- U.S. National Science Foundation [PHY 18-22502]
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A new analysis method is proposed to extract the pion's parton distribution functions using a statistical model framework, which reduces the number of parameters and considers the specific properties of the pion. By using Drell-Yan data induced by pi(-) to determine the parameters of the statistical model approach, good agreement with experimental data and predictive power of the new pion PDFs are confirmed.
We present a new analysis to extract pion's parton distribution functions (PDFs) in the framework of the statistical model. Starting from the statistical model framework first developed for the spin-1/2 nucleon, we apply appropriate modifications taking into account the spin-0 nature of pion and the isospin and charge-conjugation symmetry properties. This results in a significant reduction of the number of parameters compared to a recent work to extract pion's PDFs. Using pi(-)-induced Drell-Yan data to determine the parameters of this statistical model approach, we show that a good description of these experimental data with Next-to-Leading order QCD calculations can be obtained. Good agreement between the calculations and the pi(+)/pi(-) Drell-Yan cross section ratio data, not included in the global fit, has confirmed the predictive power of these new pion PDFs. (C) 2020 The Authors. Published by Elsevier B.V.
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