6533b826fe1ef96bd1283d2a
RESEARCH PRODUCT
Nuclear parton distribution functions with uncertainties in a general mass variable flavor number scheme
Hubert SpiesbergerVadim GuzeyS. Atashbar TehraniMaryam SoleymaniniaHamzeh Khanpoursubject
Hessian matrixQuantum chromodynamicsPhysicsParticle physicsNuclear TheoryScatteringNuclear TheoryPerturbative QCDFOS: Physical sciencesPartonHigh Energy Physics - ExperimentNuclear Theory (nucl-th)High Energy Physics - Phenomenologysymbols.namesakeHigh Energy Physics - Experiment (hep-ex)Distribution functionHigh Energy Physics - Phenomenology (hep-ph)symbolsHigh Energy Physics::ExperimentTwistNeutrinoNuclear Experimentdescription
In this article we obtain a new set of nuclear parton distribution functions (nuclear PDFs) at next-to-leading order and next-to-next-to-leading order accuracy in perturbative QCD. The common nuclear deep-inelastic scattering (DIS) data analyzed in our study are complemented by the available charged-current neutrino DIS data with nuclear targets and data from Drell-Yan cross-section measurements for several nuclear targets. In addition, the most recent DIS data from the Jefferson Lab CLAS and Hall C experiments are also added to our data sample. For these specific datasets, we consider the impact of target mass corrections and higher twist effects which are expected to be important in the region of large $x$ and intermediate-to-low $Q^2$. Our analysis is based on a publicly available open-source tool {\tt APFEL}, which has been modified to be applicable for our analysis of nuclear PDFs. Heavy quark contributions to nuclear DIS are considered within the framework of the {\tt FONLL} general-mass variable-flavor-number scheme. The most recent {\tt CT18} PDFs are used as baseline proton PDFs. The uncertainties of nuclear PDFs are determined using the standard Hessian approach. The results of our global QCD analysis are compared with existing nuclear PDF sets and with the fitted cross-sections, for which our set of nuclear PDFs provides a very good description.
year | journal | country | edition | language |
---|---|---|---|---|
2020-10-01 |