Search results for "nuclear parton distribution function"

showing 8 items of 8 documents

Impact of dijet and D-meson data from 5.02 TeV p+Pb collisions on nuclear PDFs

2020

We discuss the new constraints on gluon parton distribution function (PDF) in lead nucleus, derivable with the Hessian PDF reweighting method from the 5.02 TeV p+Pb measurements of dijet (CMS) and $D^0$-meson (LHCb) nuclear modification ratios. The impact is found to be significant, placing stringent constraints in the mid- and previously unconstrained small-$x$ regions. The CMS dijet data confirm the existence of gluon anti-shadowing and the onset of small-$x$ shadowing, as well as reduce the gluon PDF uncertainties in the larger-$x$ region. The gluon constraints from the LHCb $D^0$ data, reaching down to $x \sim 10^{-5}$ and derived in a NLO perturbative QCD approach, provide a remarkable…

Hessian matrixNuclear and High Energy PhysicsParticle physicsdijet productionNuclear TheoryFOS: Physical sciencesnuclear parton distribution functionPartonopen heavy flavour114 Physical sciences7. Clean energy01 natural sciencessymbols.namesakeHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesD meson010306 general physicsNuclear ExperimentPhysics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyPerturbative QCDGluonUniversality (dynamical systems)proton–nucleus collisionHigh Energy Physics - PhenomenologyDistribution functionDGLAPsymbolsHigh Energy Physics::Experiment
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EPPS16: Nuclear parton distributions with LHC data

2017

We introduce a global analysis of collinearly factorized nuclear parton distribution functions (PDFs) including, for the first time, data constraints from LHC proton-lead collisions. In comparison to our previous analysis, EPS09, where data only from charged-lepton-nucleus deep inelastic scattering (DIS), Drell-Yan (DY) dilepton production in proton-nucleus collisions and inclusive pion production in deuteron-nucleus collisions were the input, we now increase the variety of data constraints to cover also neutrino-nucleus DIS and low-mass DY production in pion-nucleus collisions. The new LHC data significantly extend the kinematic reach of the data constraints. We now allow much more freedom…

QuarkParticle physicsPhysics and Astronomy (miscellaneous)Nuclear TheoryNuclear TheoryFOS: Physical sciencesPartonhiukkasfysiikka114 Physical sciences01 natural sciences7. Clean energyHigh Energy Physics - ExperimentNuclear Theory (nucl-th)High Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)PionINELASTIC MUON SCATTERINGpartonit0103 physical sciencesNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentPLUS PB COLLISIONSEngineering (miscellaneous)Nuclear ExperimentPhysicsGauge bosonnuclear partonsLarge Hadron Collider010308 nuclear & particles physicsLEADING ORDERHigh Energy Physics::PhenomenologyLEPTON CHARGE ASYMMETRYSTRUCTURE-FUNCTION RATIOSDeep inelastic scatteringPPB COLLISIONSGluonnuclear parton distribution functionsHigh Energy Physics - PhenomenologyDIMUON PRODUCTIONPERTURBATION-THEORYJET CROSS-SECTIONSHigh Energy Physics::ExperimentHADRON-COLLISIONSRegular Article - Theoretical PhysicsNeutrino
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Can we fit nuclear PDFs with the high-x CLAS data?

2020

AbstractNuclear parton distribution functions (nuclear PDFs) are non-perturbative objects that encode the partonic behaviour of bound nucleons. To avoid potential higher-twist contributions, the data probing the high-x end of nuclear PDFs are sometimes left out from the global extractions despite their potential to constrain the fit parameters. In the present work we focus on the kinematic corner covered by the new high-x data measured by the CLAS/JLab collaboration. By using the Hessian re-weighting technique, we are able to quantitatively test the compatibility of these data with globally analyzed nuclear PDFs and explore the expected impact on the valence-quark distributions at high x. W…

Hessian matrixParticle physicsPhysics and Astronomy (miscellaneous)EMC effectNuclear TheoryFOS: Physical sciencesPartonlcsh:Astrophysicshiukkasfysiikka01 natural sciences114 Physical sciencessymbols.namesakeHigh Energy Physics - Phenomenology (hep-ph)0103 physical scienceslcsh:QB460-466lcsh:Nuclear and particle physics. Atomic energy. Radioactivity010306 general physicsNuclear ExperimentEngineering (miscellaneous)Physics010308 nuclear & particles physicsddc:530530 Physiknuclear parton distribution functions (nuclear PDFs)High Energy Physics - PhenomenologyDistribution functionsymbolslcsh:QC770-798Nucleonydinfysiikka
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An update on nuclear PDFs at the LHeC

2017

The prospects for a measurement of nuclear parton distribution functions (PDFs) at the Large Hadron--Electron Collider are discussed in the light of recent progress made in the front of global analysis of nuclear PDFs.

High Energy Physics::PhenomenologyNuclear TheoryFOS: Physical sciencesNuclear parton distribution functionsRecent progress Inelastic scatteringPhysics::Data Analysis; Statistics and Probability114 Physical sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)nuclear PDFsHigh Energy Physics::ExperimentDistribution functions Global analysisNuclear Experiment
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Constraints on nuclear parton distributions from dijet photoproduction at the LHC

2019

Using QCD calculations of the cross section of inclusive dijet photoproduction in Pb-Pb ultraperipheral collisions in the LHC kinematics as pseudo-data, we study the effect of including these data using the Bayesian reweighting technique on nCTEQ15, nCTEQ15np, and EPPS16 nuclear parton distribution functions (nPDFs). We find that, depending on the assumed error of the pseudo-data, it leads to a significant reduction of the nPDF uncertainties at small values of the momentum fraction $x_A$. Taking the error to be 5\%, the uncertainty of nCTEQ15 and nCTEQ15np nPDFs reduces approximately by a factor of two at $x_A=10^{-3}$. At the same time, the reweighting effect on EPPS16 nPDFs is much smalle…

PB-PB COLLISIONSParticle physicsNuclear TheoryPhysics and Astronomy (miscellaneous)FOS: Physical scienceslcsh:AstrophysicsPartonhiukkasfysiikka114 Physical sciences01 natural sciencesCOLLIDERNuclear Theory (nucl-th)MomentumCross section (physics)High Energy Physics - Phenomenology (hep-ph)lcsh:QB460-4660103 physical scienceslcsh:Nuclear and particle physics. Atomic energy. RadioactivityQuantum ChromodynamicsNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentEngineering (miscellaneous)PhysicsQuantum chromodynamicsLarge Hadron Collider010308 nuclear & particles physicsHigh Energy Physics - Phenomenologynuclear parton distribution functionsDistribution functionlcsh:QC770-798ydinfysiikkaVECTOR-MESONSParametrization
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EPPS16 - First nuclear PDFs to include LHC data

2017

We present results of our recent EPPS16 global analysis of NLO nuclear parton distribution functions (nPDFs). For the first time, dijet and heavy gauge boson production data from LHC proton-lead collisions have been included in a global fit. Especially, the CMS dijets play an important role in constraining the nuclear effects in gluon distributions. With the inclusion of also neutrino-nucleus deeply-inelastic scattering and pion-nucleus Drell-Yan data and a proper treatment of isospin-corrected data, we were able to free the flavor dependence of the valence and sea quark nuclear modifications for the first time. This gives us less biased, yet larger, flavor by flavor uncertainty estimates. …

Uncertainty estimates Uncertainty analysisHigh Energy Physics::LatticeLead collisionsNuclear TheoryHigh Energy Physics::PhenomenologyFOS: Physical sciencesNuclear parton distribution functions114 Physical sciencesHigh Energy Physics - ExperimentHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Production dataHigh Energy Physics::ExperimentNuclear modificationNuclear ExperimentNuclear effectsBosonsDistribution functionsGlobal analysisInelastic scattering Deeply inelastic scatterings
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Status of nuclear PDFs after the first LHC p–Pb run

2017

In this talk, I overview the recent progress on the global analysis of nuclear parton distribution functions (nuclear PDFs). After first introducing the contemporary fits, the analysis procedures are quickly recalled and the ambiguities in the use of experimental data outlined. Various nuclear-PDF parametrizations are compared and the main differences explained. The effects of nuclear PDFs in the LHC p-Pb hard-process observables are discussed and some future prospects sketched.

Nuclear and High Energy PhysicsParticle physicsNuclear TheoryNuclear TheoryFOS: Physical sciencesPartonhiukkasfysiikka01 natural sciences114 Physical scienceshigh-energy nuclear collisionsHigh Energy Physics - ExperimentNuclear physicsNuclear Theory (nucl-th)High Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciences010306 general physicsNuclear ExperimentHigh-energy nuclear collisions nuclear parton distribution functionsNuclear theoryQuantum chromodynamicsPhysicsLarge Hadron Colliderta114010308 nuclear & particles physicsObservableHigh Energy Physics - Phenomenologynuclear parton distribution functionsDistribution functionParametrization
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Applicability of pion-nucleus Drell-Yan data in global analysis of nuclear parton distribution functions

2017

Despite the success of modern nuclear parton distribution functions (nPDFs) in describing nuclear hard-process data, they still suffer from large uncertainties. One of the poorly constrained features is the possible asymmetry in nuclear modifications of valence $u$ and $d$ quarks. We study the possibility of using pion-nucleus Drell-Yan dilepton data as a new constraint in the global analysis of nPDFs. We find that the nuclear cross-section ratios from the NA3, NA10 and E615 experiments can be used without imposing significant new theoretical uncertainties and, in particular, that these datasets may have some constraining power on the $u$/$d$ -asymmetry in nuclei.

QuarkDrell-Yan processParticle physicsNuclear and High Energy PhysicsNuclear Theorymedia_common.quotation_subjectNuclear TheoryDrell–Yan processFOS: Physical sciencesPartonhiukkasfysiikka01 natural sciencesAsymmetry114 Physical sciencesHigh Energy Physics - ExperimentNuclear Theory (nucl-th)Nuclear physicsHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)PionRATIO0103 physical sciencesmedicinePion–nucleus scatteringNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentNuclear theoryNuclear Experimentmedia_commonPhysicsta114010308 nuclear & particles physicskvarkitHigh Energy Physics::PhenomenologyDrell–Yan processNuclear parton distribution functionsPion-nucleus scatteringlcsh:QC1-999pion–nucleus scatteringnuclear parton distribution functionsHigh Energy Physics - PhenomenologyDistribution functionmedicine.anatomical_structureDIMUON PRODUCTIONHigh Energy Physics::ExperimentNucleusPDFSlcsh:Physics
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