Document Type
Article
Publication Date
2021
DOI
10.1103/PhysRevD.104.016015
Publication Title
Physical Review D
Volume
104
Issue
1
Pages
016015 (1-19)
Abstract
We perform a comprehensive new Monte Carlo analysis of high-energy lepton-lepton, lepton-hadron and hadron-hadron scattering data to simultaneously determine parton distribution functions (PDFs) in the proton and parton to hadron fragmentation functions (FFs). The analysis includes all available semi-inclusive deep-inelastic scattering and single-inclusive e+e− annihilation data for pions, kaons and unidentified charged hadrons, which allows the flavor dependence of the fragmentation functions to be constrained. Employing a new multistep fitting strategy and more flexible parametrizations for both PDFs and FFs, we assess the impact of different datasets on sea quark densities and confirm the previously observed suppression of the strange quark distribution. The new fit, which we refer to as “JAM20-SIDIS,” will allow for improved studies of universality of parton correlation functions, including transverse momentum dependent (TMD) distributions, across a wide variety of process, and the matching of collinear to TMD factorization descriptions.
Original Publication Citation
Moffat, E., Melnitchouk, W., Rogers, T. C., Sato, N. & Jefferson Lab Angular Momentum Collaboration (2021). Simultaneous Monte Carlo analysis of parton densities and fragmentation functions. Physical Review D, 104(1), 1-19, Article 016015. https://doi.org/10.1103/PhysRevD.104.016015
ORCID
0000-0002-0762-0275 (Rogers)
Repository Citation
Moffat, Eric; Melnitchouk, W.; Rogers, Ted C.; Sato, N.; and Jefferson Lab Angular Momentum Collaboration, "Simultaneous Monte Carlo Analysis of Parton Densities and Fragmentation Functions" (2021). Physics Faculty Publications. 542.
https://digitalcommons.odu.edu/physics_fac_pubs/542
Comments
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.