Search results for "Particles"

showing 10 items of 8085 documents

The EPPS16 nuclear PDFs

2017

We report on EPPS16 - the first analysis of NLO nuclear PDFs where LHC p-Pb data (Z, W, dijets) have been directly used as a constraint. In comparison to our previous fit EPS09, also data from neutrino-nucleus deeply-inelastic scattering and pion-nucleus Drell-Yan process are now included. Much of the theory framework has also been updated from EPS09, including a consistent treatment of heavy quarks in deeply-inelastic scattering. However, the most notable change is that we no longer assume flavour-blind nuclear modifications for valence and sea quarks. This significantly reduces the theoretical bias. All the analysed data are well reproduced and the analysis thereby supports the validity o…

Drell-Yan processHeavy-quarkHigh Energy Physics::LatticeNuclear TheoryHigh Energy Physics::PhenomenologyElementary particlesFOS: Physical sciencesSea quarks Inelastic scatteringHigh-energy collisions114 Physical sciencesHigh Energy Physics - ExperimentHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)nuclear PDFsHigh Energy Physics - Phenomenology (hep-ph)Lead Deeply inelastic scatteringsLeadInelastic ScatteringHeavy nucleusHigh Energy Physics::ExperimentNuclear modificationHigh energy physicsNuclear ExperimentPartonsNucleons
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Matching factorization theorems with an inverse-error weighting

2018

We propose a new fast method to match factorization theorems applicable in different kinematical regions, such as the transverse-momentum-dependent and the collinear factorization theorems in Quantum Chromodynamics. At variance with well-known approaches relying on their simple addition and subsequent subtraction of double-counted contributions, ours simply builds on their weighting using the theory uncertainties deduced from the factorization theorems themselves. This allows us to estimate the unknown complete matched cross section from an inverse-error-weighted average. The method is simple and provides an evaluation of the theoretical uncertainty of the matched cross section associated w…

Drell-Yan processNuclear and High Energy PhysicsFOS: Physical sciencesInversegauge boson: hadroproduction01 natural sciencestransverse momentum: momentum spectrumCross section (physics)High Energy Physics - Phenomenology (hep-ph)FactorizationfactorizationSimple (abstract algebra)0103 physical sciencesquantum chromodynamicsApplied mathematics010306 general physicshadron hadron: interactionBosonQuantum chromodynamicsPhysics010308 nuclear & particles physicsmatchingdeep-inelastic processesfactorization: collinearHigh Energy Physics::Phenomenologyfactorization; Quantum Chromodynamics; matching; power corrections; deep-inelastic processesDrell–Yan processlcsh:QC1-999WeightingHigh Energy Physics - Phenomenologykinematics[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]transverse momentum: factorization[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]power correctionslcsh:Physics
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Nuclear modification of forward Drell-Yan production at the LHC

2017

Forward Drell-Yan production at high energy can provide important constraints on gluon densities at small $x$, in the saturation regime. In this work we focus on the nuclear modification of this process, which could be measured at the LHC in the near future. For this we employ the color dipole approach, using the optical Glauber model to relate the dipole cross section of a nucleus to the one of a proton. Combining these results with our earlier results for forward $J/\psi$ production, we compute the ratio of the nuclear modification factors of these two processes. This observable was recently suggested as a way to distinguish between initial and final state effects in forward particle prod…

Drell-Yan processParticle physicsProtonNuclear TheoryFOS: Physical scienceshiukkasfysiikka01 natural sciences7. Clean energy114 Physical sciencesNuclear physicsHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciences010306 general physicsNuclear ExperimentQuantum chromodynamicsPhysicsLarge Hadron Colliderta114010308 nuclear & particles physicshigh energy hadronic collisionsDrell–Yan processObservableGluonDipoleHigh Energy Physics - PhenomenologyGlauber
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Forward rapidity isolated photon production in proton-nucleus collisions

2018

We calculate isolated photon production at forward rapidities in proton-nucleus collisions in the Color Glass Condensate framework. Our calculation uses dipole cross sections solved from the running coupling Balitsky-Kovchegov equation with an initial condition fit to deep inelastic scattering data and extended to nuclei with an optical Glauber procedure that introduces no additional parameters beyond the basic nuclear geometry. We present predictions for future forward RHIC and LHC measurements. The predictions are also compared to updated results for the nuclear modification factors for pion production, Drell-Yan dileptons and $J/\psi$ mesons in the same forward kinematics, consistently c…

Drell-Yan processPhotongeometryProtonNuclear TheoryNuclear Theorypi: productionhiukkasfysiikka01 natural sciencesColor-glass condensateHigh Energy Physics - Phenomenology (hep-ph)coupling constant: energy dependenceopticalNuclear ExperimentBrookhaven RHIC CollPhysicsphoton: productionenergy: highhigher-order: 0higher-order: 1suppressionBalitsky-Kovchegov equationHigh Energy Physics - PhenomenologyCERN LHC CollkinematicsNuclear and High Energy PhysicsMeson[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]FOS: Physical sciencesGlaubermeson114 Physical sciencesdileptonNuclear physicsNuclear Theory (nucl-th)Piondeep inelastic scattering0103 physical sciencesRapidityproton-nucleus collisions010306 general physicsta114010308 nuclear & particles physicsnucleusphoton productionDeep inelastic scatteringboundary condition* Automatic Keywords *rapidity[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]color glass condensatecross section: dipolep nucleusGlauber
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Erratum to: DYTurbo: fast predictions for Drell–Yan processes

2020

The European physical journal / C 80(5), 440 (2020). doi:10.1140/epjc/s10052-020-7972-0

Drell-Yan processPhysics and Astronomy (miscellaneous)density [parton]Hadrontransverse momentum [resummation]Drell-YanParton01 natural sciencescorrelation [spin]colliding beams [hadron]pair production [lepton]ResummationHadron collidersPhysicsQuantum chromodynamicsprecision measurementhigher-order: 2resummation: transverse momentum2 [higher-order]kinematicsfactorization [cross section]parton: densityParticle physicsspin: correlation530 Physicslepton: pair productionlcsh:Astrophysics10192 Physics Institute530Standard Model0103 physical scienceslcsh:QB460-466quantum chromodynamicslcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:5303101 Physics and Astronomy (miscellaneous)010306 general physicsEngineering (miscellaneous)Electroweak010308 nuclear & particles physicshadron: colliding beamsHigh Energy Physics::PhenomenologyOrder (ring theory)cross section: factorizationQCDPair productionlcsh:QC770-798High Energy Physics::Experiment2201 Engineering (miscellaneous)Lepton
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DYTurbo: fast predictions for Drell–Yan processes

2019

The European physical journal / C 80(5), 251 (2020). doi:10.1140/epjc/s10052-020-7757-5

Drell-Yan processPhysics and Astronomy (miscellaneous)density [parton]transverse momentum [resummation]Drell-YanParton01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)correlation [spin]colliding beams [hadron]pair production [lepton]ResummationHadron collidersPhysicsQuantum chromodynamicsprecision measurementhigher-order: 2resummation: transverse momentumDrell–Yan processhep-ph2 [higher-order]High Energy Physics - Phenomenologykinematicsfactorization [cross section]parton: densityPhenomenology (particle physics)Particle physics530 Physicsspin: correlationlepton: pair productionFOS: Physical scienceslcsh:Astrophysics10192 Physics Institute530Standard Modellcsh:QB460-4660103 physical sciencesquantum chromodynamicsddc:530lcsh:Nuclear and particle physics. Atomic energy. Radioactivity010306 general physicsEngineering (miscellaneous)Particle Physics - PhenomenologyElectroweak010308 nuclear & particles physicshadron: colliding beamsHigh Energy Physics::Phenomenologycross section: factorizationQCDPair production[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]lcsh:QC770-798High Energy Physics::ExperimentLeptonThe European Physical Journal C
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Tevatron Run II combination of the effective leptonic electroweak mixing angle

2018

The Ministry of Science and Innovation and the Consolider-Ingenio 2010 Program and the European Union community Marie Curie Fellowship Contract No. 302103.

Drell-Yan processsemianalytical programsPhysics and Astronomy (miscellaneous)FERMION PAIR PRODUCTIONUPGRADETevatronhadron-colliders01 natural sciencesHigh Energy Physics - ExperimentPhysics Particles & Fieldselectron: pair productionHigh Energy Physics - Experiment (hep-ex)MONTE-CARLOUNIVERSAL MONTE-CARLOELECTROMAGNETIC CALORIMETERDZERO[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HADRON COLLIDERSangular distributionBatavia TEVATRON CollMonte CarloPhysicsscattering [anti-p p]gauge bosonPhysicsElectroweak interactionDrell–Yan processWeinberg anglespontaneous symmetry breaking [electroweak interaction]muon: pair productionPhysical Sciencesmixing angle [electroweak interaction]bosonPHOTOSmass: measured [W]asymmetryParticle physicsFOS: Physical sciencesSEMIANALYTICAL PROGRAMddc:500.2Astronomy & Astrophysicselectroweak interaction: spontaneous symmetry breaking114 Physical sciences530programmingW: mass: measuredStandard Modelanti-p p: colliding beams[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]hadroproduction [Z0]0103 physical sciencesanti-p p: scatteringddc:530High Energy Physicspair production [electron]pair production [muon]CALORIMETER010306 general physicsQED RADIATIVE-CORRECTIONSQed radiative-corrections; fermion pair production; universal; Monte Carlo; parton distributions; hadron-colliders; electromagnetic; calorimeter;semianalytical programs; E(+)E(-) annihilation; boson; production; D0 detectorGauge bosonBOSON PRODUCTIONMuonScience & Technologyelectroweak interaction: mixing angleAnti-p p: scattering | anti-p p: colliding beams | Z0: hadroproduction | Z0: leptonic decay | electroweak interaction: spontaneous symmetry breaking | electroweak interaction: mixing angle | muon: pair production | W: mass: measured | Weinberg angle | Batavia TEVATRON Coll | angular distribution | electron: pair production | Drell-Yan process | gauge boson | programming | asymmetry | CDF | DZERO | experimental resultsIDENTIFICATION010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyuniversalWeinberg angleZ0: hadroproductionQED RADIATIVE-CORRECTIONS; FERMION PAIR PRODUCTION; UNIVERSAL; MONTE-CARLO; PARTON DISTRIBUTIONS; HADRON COLLIDERS; ELECTROMAGNETIC; CALORIMETER; SEMIANALYTICAL PROGRAM; E(+)E(-) ANNIHILATION; BOSON; PRODUCTION; D0 DETECTORleptonic decay [Z0]E(+)E(-) ANNIHILATIONelectromagneticPARTON DISTRIBUTIONSExperimental High Energy PhysicsZ0: leptonic decayD0 DETECTORCDFHigh Energy Physics::Experimentproductioncolliding beams [anti-p p]Leptonexperimental results
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Sivers asymmetry extracted in SIDIS at the hard scales of the Drell-Yan process at COMPASS

2017

Proton transverse-spin azimuthal asymmetries are extracted from the COMPASS 2010 semi-inclusive hadron measurements in deep inelastic muon-nucleon scattering in those four regions of the photon virtuality $Q^2$, which correspond to the four regions of the di-muon mass $\sqrt{Q^2}$ used in the ongoing analysis of the COMPASS Drell-Yan measurements. This allows for a future direct comparison of the nucleon transverse-momentum-dependent parton distribution functions extracted from these two alternative measurements. Various two-dimensional kinematic dependences are presented for the azimuthal asymmetries induced by the Sivers transverse-momentum-dependent parton distribution function. The inte…

Drellâ YanDrell-Yan processPhotonHadronparton: distribution functionDrell-YanPartontransverse momentum dependence01 natural sciencesCOMPASSSIDISHigh Energy Physics - ExperimentSivers functionSubatomär fysikHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)CompassSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]dimension: 2Nuclear ExperimentSIDIS; Drell–Yan; Spin; Azimuthal asymmetries; Sivers; TMDsmedia_commonPhysicsQuantum chromodynamicsdeep inelastic scattering: semi-inclusive reactionpolarized target: transversephotonDrell–Yan processhep-phlcsh:QC1-999Drell–YanAzimuthal asymmetrieHigh Energy Physics - PhenomenologykinematicsSiverpolarized beam: longitudinalNucleonAzimuthal asymmetriesspin: asymmetryParticle Physics - ExperimentParticle physicsNuclear and High Energy Physicsangular distribution: asymmetrymedia_common.quotation_subjectFOS: Physical sciencesTMDsAsymmetryNuclear physicsSpin[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]Azimuthal asymmetries; Drell–Yan; SIDIS; Sivers; Spin; TMDs; Nuclear and High Energy Physics0103 physical sciencesmuon nucleon: deep inelastic scatteringquantum chromodynamicsSiversmuon nucleon: scattering010306 general physicsParticle Physics - Phenomenologynucleon: transverse momentum010308 nuclear & particles physics160 GeV/chep-exCERN SPSmuon+ p: deep inelastic scattering[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph][ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::Experimentlcsh:Physicsexperimental results
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Drift Time Measurement in the ATLAS Liquid Argon Electromagnetic Calorimeter using Cosmic Muons

2010

The ionization signals in the liquid argon of the ATLAS electromagnetic calorimeter are studied in detail using cosmic muons. In particular, the drift time of the ionization electrons is measured and used to assess the intrinsic uniformity of the calorimeter gaps and estimate its impact on the constant term of the energy resolution. The drift times of electrons in the cells of the second layer of the calorimeter are uniform at the level of 1.3% in the barrel and 2.8% in the endcaps. This leads to an estimated contribution to the constant term of (0.29-0.04+0.05)% in the barrel and (0.54-0.04+0.06)% in the endcaps. The same data are used to measure the drift velocity of ionization electrons …

Drift velocityPhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsInstrumentationFOS: Physical sciencesddc:500.2ElectronAstrophysics::Cosmology and Extragalactic AstrophysicsElectromagnetic CalorimeterATLAS; Drift Time Measurement; Cosmic Muons5307. Clean energy01 natural sciencesPartícules (Física nuclear)High Energy Physics - Experiment010305 fluids & plasmasNuclear physicsHigh Energy Physics - Experiment (hep-ex)Atlas (anatomy)Ionization0103 physical sciencesmedicineFysikddc:530High Energy Physics[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Cosmic MuonsDetectors and Experimental Techniques010306 general physicsEngineering (miscellaneous)Ciencias ExactasDetectors de radiacióPhysicsCalorimeter (particle physics)010308 nuclear & particles physicsAcceleradors de partículesResolution (electron density)Instrumentation and Detectors (physics.ins-det)ATLASliquid argonElectromagnetic calorimetermedicine.anatomical_structureExperimental High Energy PhysicsDrift Time MeasurementPhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHigh Energy Physics::ExperimentLHC
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Controlling the Stealth Effect of Nanocarriers through Understanding the Protein Corona

2016

The past decade has seen a significant increase in interest in the use of polymeric nanocarriers in medical applications. In particular, when used as drug vectors in targeted delivery, nanocarriers could overcome many obstacles for drug therapy. Nevertheless, their application is still impeded by the complex composition of the blood proteins covering the particle surface, termed the protein corona. The protein corona complicates any prediction of cell interactions, biodistribution, and toxicity. In particular, the unspecific uptake of nanocarriers is a major obstacle in clinical studies. This Minireview provides an overview of what we currently know about the characteristics of the protein …

Drug CarriersBiodistributionChemistryPolymeric nanocarriersNanotechnologyProtein Corona02 engineering and technologyGeneral Chemistry010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesCatalysis0104 chemical sciencesDrug Delivery SystemsDrug deliveryHumansNanoparticlesProtein CoronaNanocarriers0210 nano-technologyAngewandte Chemie International Edition
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