Error Estimates on Parton Density Distributions
M. Botje
TL;DR
This work evaluates error estimation for parton density distributions in global QCD fits, emphasizing Gaussian error assumptions and covariance-based propagation. It contrasts the Hessian (covariance) and offset methods for incorporating systematic uncertainties, discusses computational techniques to handle large χ^2 calculations, and promotes exploring the χ^2 landscape via Minos and Lagrange multipliers. It also discusses the limits of the quadratic approximation and the interpretation of Δχ^2 in complex fits. Finally, it surveys public parton distribution sets (Alekhinfit, epdflib) that encode uncertainties for practical predictions at high-energy colliders.
Abstract
Error estimates on parton density distributions are presently based on the traditional method of least squares minimisation and linear error propagation in global QCD fits. We review the underlying assumptions and the various mathematical representations of the method and address some technical issues encountered in such a global analysis. Parton distribution sets which contain error information are described.
