2011/08/08 by Richard D. Ball, NNPDF Collaboration, Ball, Richard D. +18 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions
paper · pdf · doi:10.48550/arxiv.1108.1758
openalex publication_date 2011/08/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We develop in more detail our reweighting method for incorporating new\ndatasets in parton fits based on a Monte Carlo representation of PDFs. After\nrevisiting the derivation of the reweighting formula, we show how to construct\nan unweighted PDF replica set which is statistically equivalent to a given\nreweighted set. We then use reweighting followed by unweighting to test the\nconsistency of the method, specifically by verifying that results do not depend\non the order in which new data are included in the fit via reweighting. We\napply the reweighting method to study the impact of LHC W lepton asymmetry data\non the NNPDF2.1 set. We show how these data reduce the PDF uncertainties of\nlight quarks in the medium and small x region, providing the first solid\nconstraints on PDFs from LHC data.\n