An analysis of the impact of LHC Run I proton-lead data on nuclear parton densities
Néstor Armesto, Hannu Paukkunen, José Manuel Penín, Carlos A. Salgado, Pía Zurita
TL;DR
This study uses Bayesian reweighting to assess how LHC Run I p-Pb data constrain nuclear PDFs (EPS09 and DSSZ) against two proton PDF baselines. It finds generally good agreement but only modest constraining power, with some observables hinting at tensions and others largely uninformative due to systematics and reference uncertainties. The CMS dijet data provide the strongest constraint, but overall a full reanalysis with flexible parametrizations and flavor separation is needed. The work emphasizes the importance of improved correlations and Run II data to fully exploit p-Pb measurements for nuclear parton densities.
Abstract
We report on an analysis of the impact of available experimental data on hard processes in proton-lead collisions during Run I at the Large Hadron Collider on nuclear modifications of parton distribution functions. Our analysis is restricted to the EPS09 and DSSZ global fits. The measurements that we consider comprise production of massive gauge bosons, jets, charged hadrons and pions. This is the first time a study of nuclear PDFs includes this number of different observables. The goal of the paper is twofold: i) checking the description of the data by nPDFs, as well as the relevance of these nuclear effects, in a quantitative manner; ii) testing the constraining power of these data in eventual global fits, for which we use the Bayesian reweighting technique. We find an overall good, even too good, description of the data, indicating that more constraining power would require a better control over the systematic uncertainties and/or the proper proton-proton reference from LHC Run II. Some of the observables, however, show sizable tension with specific choices of proton and nuclear PDFs. We also comment on the corresponding improvements on the theoretical treatment.
