Search results for "DISTRIBUTIONS"

showing 10 items of 214 documents

Flavour Separation of Helicity Distributions from Deep Inelastic Muon-Deuteron Scattering

2009

We present a LO evaluation of helicity densities of valence, \Delta u_v+\Delta d_v, non-strange sea, \Delta\bar{u}+\Delta\bar{d}, and strange quarks, \Delta s (assumed to be equal to \Delta\bar{s}). They have been obtained from the inclusive asymmetry A_{3,d} and the semi-inclusive asymmetries A^{\pi+}_{1,d}, A^{\pi-}_{1,d}, A^{K+}_{1,d}, A^{K-}_{1,d} measured in polarised deep inelastic muon-deuteron scattering. The full deuteron statistics of COMPASS (years 2002-2004 and 2006) has been used. The data cover the range Q^2 > 1 (GeV/c)^2 and 0.004<x<0.3. Both non-strange densities are found to be in a good agreement with previous measurements. The distribution of \Delta s(x) is compatible wit…

Strange quarkPOLARIZED TARGETNuclear TheoryVALENCE QUARK DISTRIBUTION; PARTON DISTRIBUTIONS; POLARIZED TARGET; NUCLEON; PROTON; DISPolarised DIS and SIDISPROTON01 natural sciencesCOMPASSParton distribution functionHigh Energy Physics - ExperimentCOMPASS; double-spin asymmetry; helicity density; parton distribution function; flavour sep- aration analysis; polarised DIS and SIDIS reactions; charged kaon asymmetrypolarised DIS and SIDIS reactionHigh Energy Physics - Experiment (hep-ex)Helicity densityVALENCE QUARK DISTRIBUTIONNUCLEONNuclear Experimentmedia_commonQuantum chromodynamicsPhysicsFlavour separation analysisHelicityCharged kaon asymmetryNucleondouble-spin asymmetryParticle Physics - Experimentcharged kaon asymmetryParticle physicsNuclear and High Energy Physicsreactionsflavour sep- aration analysismedia_common.quotation_subjectFOS: Physical sciencesparton distribution functionAsymmetryNuclear physics0103 physical sciencesflavour sep- aration analysiPolarised DIS and SIDIS reactions010306 general physicsfunctionDISMuonValence (chemistry)010308 nuclear & particles physicsScatteringParton distributionPARTON DISTRIBUTIONSHigh Energy Physics::Experimenthelicity densityDouble-spin asymmetry
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Analysis of discrete and continuous distributions of ventilatory time constants from dynamic computed tomography.

2005

In this study, an algorithm was developed to measure the distribution of pulmonary time constants (TCs) from dynamic computed tomography (CT) data sets during a sudden airway pressure step up. Simulations with synthetic data were performed to test the methodology as well as the influence of experimental noise. Furthermore the algorithm was applied to in vivo data. In five pigs sudden changes in airway pressure were imposed during dynamic CT acquisition in healthy lungs and in a saline lavage ARDS model. The fractional gas content in the imaged slice (FGC) was calculated by density measurements for each CT image. Temporal variations of the FGC were analysed assuming a model with a continuous…

SwineInformation Storage and RetrievalComputed tomographyModels BiologicalSensitivity and SpecificitySynthetic dataImaging Three-DimensionalImage Interpretation Computer-AssistedmedicineAnimalsRadiology Nuclear Medicine and imagingComputer SimulationLungSimulationMathematicsRadiological and Ultrasound Technologymedicine.diagnostic_testfungiMathematical analysisTime constantReproducibility of ResultsImage EnhancementNoiseKineticsDistribution (mathematics)Continuous distributionsBreathingVentilatory timePulmonary VentilationTomography X-Ray ComputedAlgorithmsPhysics in medicine and biology
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Two-particle azimuthal correlations in photonuclear ultraperipheral Pb+Pb collisions at 5.02 TeV with ATLAS

2021

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC, and CFI, Canada, CERN and ANID, Chile, CAS, MOST, and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR, and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF, and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNR…

Systemgap [rapidity]heavy ion: scattering:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Performanceangular correlation: long-rangeHadronMonte Carlo method01 natural sciencesHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)PpCollisionscorrelation function: two-particleSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Nuclear ExperimentNuclear Experimentcalorimeter: forward spectrometerSettore FIS/01Physicsangular correlation: two-particletwo-particle [correlation function]Large Hadron Collider4. EducationATLAS experimentHeavy-Ion CollisionsMonte Carlo [numerical calculations]ATLASCalorimeterforward spectrometer [calorimeter]CERN LHC Coll:Nuclear and elementary particle physics: 431 [VDP]medicine.anatomical_structureMultiplicityflowPseudorapidityDistributionsLhcnumerical calculations: Monte CarloParticle Physics - Experimentcharged particle: tracks530 PhysicscollectiveFOS: Physical sciencesLHC ATLAS High Energy Physicstransverse momentum[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Relativistic heavy ionscharged particle: multiplicityNuclear physicsmultiplicity [charged particle]scattering [heavy ion]Atlas (anatomy)long-range [angular correlation]0103 physical sciencesmedicineFluctuationsNuclear Physics - Experimentddc:5305020 GeV-cms/nucleonHigh Energy Physicsperipheral010306 general physicshadron hadron: interactioninteraction [hadron hadron]LHC; Particle Physics; Photonuclear interactionstwo-particle [angular correlation]tracks [charged particle]010308 nuclear & particles physicsFísicaDetectorMultiplicity (mathematics)boundary conditionrapidity: gapcorrelationExperimental High Energy Physicsexperimental resultsModelPhysical Review C
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Frequency distribution of journalistic attention for scientific studies and scientific sources: An input-output analysis.

2020

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tai…

TechnologyTime FactorsMedical JournalsScienceJournalismDecision MakingSocial SciencesResearch and Analysis MethodsCognitionSociologyMedicine and Health SciencesPsychologyMass MediaSocial ChangeScientific PublishingLikelihood FunctionsAltmetricsSocial ResearchResearchQRCognitive PsychologyBiology and Life SciencesResearch AssessmentProbability TheoryCommunicationsBibliometricsPhysical SciencesMedicineCognitive SciencePeriodicals as Topicddc:600Medical HumanitiesMathematicsResearch ArticleNeuroscienceStatistical DistributionsPloS one
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Learning non-linear time-scales with kernel -filters

2009

A family of kernel methods, based on the @c-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) @c-filter [G. Camps-Valls, M. Martinez-Ramon, J.L. Rojo-Alvarez, E. Soria-Olivas, Robust @c-filter using support vector machines, Neurocomput. J. 62(12) (2004) 493-499.], but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel @c-filters. The improved performance in several application examples suggest…

TelecomunicacionesSupport vector machinesbusiness.industryCognitive NeuroscienceNonlinear System IdentificationPattern recognitionKernel principal component analysisComputer Science ApplicationsKernel methodMercer's KernelArtificial IntelligenceVariable kernel density estimationString kernelKernel embedding of distributionsPolynomial kernelRadial basis function kernelGamma-FiltersArtificial intelligenceTree kernelbusinessMathematicsNeurocomputing
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Combination of measurements of the top-quark pair production cross section from the Tevatron Collider

2014

We combine six measurements of the inclusive top-quark pair (tt̄) production cross section (σtt̄) from data collected with the CDF and D0 detectors at the Fermilab Tevatron with proton-antiproton collisions at s=1.96TeV. The data correspond to integrated luminosities of up to 8.8fb-1. We obtain a value of σtt̄=7.60±0.41pb for a top-quark mass of mt=172.5GeV. The contributions to the uncertainty are 0.20 pb from statistical sources, 0.29 pb from systematic sources, and 0.21 pb from the uncertainty on the integrated luminosity. The result is in good agreement with the standard model expectation of 7.35-0.33+0.28pb at next-to-next-to-leading order and next-to-next-to leading logarithms in pert…

Top quarkP(P)OVER-BAR COLLISIONSTevatron7. Clean energylaw.inventionPhysics Particles & FieldsHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)law[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HADRON COLLIDERSFERMILABFermilabNuclear ExperimentQuantum chromodynamicsPhysicsLarge Hadron ColliderPhysicsP(P)OVER-BAR COLLISIONS; ROOT-S=1.96 TEV; PARTON DISTRIBUTIONS; HADRON COLLIDERS; LEADING ORDER; T(T)OVER-BAR; DETECTOR; LHC; QCD; FERMILABPerturbative QCD3. Good healthROOT-S=1.96 TEVPhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCT(T)OVER-BARParticle physicsNuclear and High Energy PhysicsFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsAstronomy & AstrophysicsMASSNuclear physicsSEARCHColliderParticle PhysicsDETECTORAstrophysics::Galaxy AstrophysicsScience & Technologyhep-exLEADING ORDERHigh Energy Physics::PhenomenologyTop quarkQCDP(P)OVER-BAR COLLISIONS; T(T)OVER-BAR; DETECTOR; SEARCH; MASSPair productionPARTON DISTRIBUTIONSExperimental High Energy PhysicsCollider PhysicsCDFHigh Energy Physics::ExperimentParticle Physics; Collider Physics; Top quark
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Measurement of the charge asymmetry in top quark pair production in pp collisions at root s=7 TeV using the ATLAS detector

2012

A measurement of the top-antitop production charge asymmetry A[subscript C] is presented using data corresponding to an integrated luminosity of 1.04 fb[superscript −1] of pp collisions at s√=7 TeV collected by the ATLAS detector at the LHC. Events are selected with a single lepton (electron or muon), missing transverse momentum and at least four jets of which at least one jet is identified as coming from a b-quark. A kinematic fit is used to reconstruct the t[bar over t] event topology. After background subtraction, a Bayesian unfolding procedure is performed to correct for acceptance and detector effects. The measured value of A[subscript C] is A[subscript C]=−0.019±0.028 (stat.)±0.024 (s…

Top quarkPhysics and Astronomy (miscellaneous)01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Invariant massDetectors de radiacióPhysicsddc:539Luminosity (scattering theory)Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleATLASmedicine.anatomical_structurePhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearLHCParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysicsddc:500.2charge asymmetry; top quark pair production; pp collisions; ATLAS detectorComputer Science::Digital Libraries530Partícules (Física nuclear)Nuclear physicsAtlas (anatomy)0103 physical sciencesmedicineFysikddc:530High Energy Physics010306 general physicsEngineering (miscellaneous)Ciencias Exactastop quarkAstrophysics::Galaxy AstrophysicsScience & TechnologyMuonATLAS detector010308 nuclear & particles physicsParton DistributionsFísicaPair productionHADRON-HADRON COLLISIONSCol·lisions (Física nuclear)Experimental High Energy Physicsproton-proton collisionsHigh Energy Physics::ExperimentLepton
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Combination of D0 measurements of the top quark mass

2017

We present a combination of measurements of the top quark mass by the D0 experiment in the lepton+jets and dilepton channels. We use all the data collected in Run I (1992--1996) at $\sqrt s=1.8$ TeV and Run II (2001--2011) at $\sqrt s=1.96$ TeV of the Tevatron $p \bar{p}$ collider, corresponding to integrated luminosities of 0.1 fb$^{-1}$ and 9.7 fb$^{-1}$, respectively. The combined result is: $m_t = 174.95 \pm0.40\,{\rm(stat)} \pm 0.64\,{\rm(syst)}\,{\rm{GeV}}=174.95 \pm 0.75 \, {\rm{GeV}}$.

Top quarkQ007TPtop: mass: measured((n)jet dilepton) [final state]Tevatronpair production [top]01 natural scienceslaw.inventionPhysics Particles & FieldsHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawDZERO[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Batavia TEVATRON CollNuclear ExperimentPhysicsscattering [anti-p p]PhysicsGLOBAL QCD ANALYSISDetectorROOT-S=7ATLASPhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGmass: measured [top]top: pair production((n)jet lepton) [final state]Particle physics1800 GeV-cms1960 GeV-cmsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesfinal state: ((n)jet lepton)Astronomy & Astrophysicsanti-p p: colliding beamsNuclear physicsEVENTS[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesanti-p p: scatteringddc:530Combined resultHigh Energy Physics010306 general physicsColliderDETECTORScience & TechnologyPP COLLISIONS1960 GeV-cms010308 nuclear & particles physicsfinal state: ((n)jet dilepton)hep-exHigh Energy Physics::PhenomenologyD0 experimentDIFFERENCEPARTON DISTRIBUTIONSExperimental High Energy PhysicsPhysics::Accelerator PhysicsTEVHigh Energy Physics::Experiment1800 GeV-cmscolliding beams [anti-p p]Leptonexperimental results
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What is a tree in the Mediterranean Basin hotspot? A critical analysis

2019

Background: Tree species represent 20% of the vascular plant species worldwide and they play a crucial role in the global functioning of the biosphere. The Mediterranean Basin is one of the 36 world biodiversity hotspots, and it is estimated that forests covered 82% of the landscape before the first human impacts, thousands of years ago. However, the spatial distribution of the Mediterranean biodiversity is still imperfectly known, and a focus on tree species constitutes a key issue for understanding forest functioning and develop conservation strategies. Methods: We provide the first comprehensive checklist of all native tree taxa (species and subspecies) present in the Mediterranean-Europ…

Tree distributions010504 meteorology & atmospheric sciencesPlant biogeography Mediterranean region Threatened trees Tree definition Tree distributionsBiodiversityThreatened treeFunctional diversityPlant biogeography01 natural sciencesMediterranean Basinbassin méditerranéenbiogeographie historiqueTrait valuesPlant biogeography;Mediterranean region;Threatened trees;Tree definition;Tree distributionslcsh:QH540-549.5Threatened treesTree definitionIUCN Red ListMediterranean regionEndemismMilieux et Changements globauxEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape Conservationécosystème forestiertaxonNear-threatened speciesEcologyEcologyTree distributionForestry04 agricultural and veterinary sciences15. Life on landsystème vasculaire des plantesTraitsEcology Evolution Behavior and SystematicBiodiversity hotspotGeographyThreatened speciesSettore BIO/03 - Botanica Ambientale E Applicata[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesSpecies richnesslcsh:EcologyForest Ecosystems
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A model for the γN → ππN reaction

1996

We have studied the γN → ππN reaction using a model wich includes N, Δ(1232), N*(1440) and N*(1520) intermediate baryonic states and the ρ-meson as a intermediate ππ resonance. The model reproduces fairly well experimental cross sections below Eγ=800 MeV and invariant-mass distributions even at higher energies. One of the interesting findings of study is what the γN → N*(1520) → Δπ process is very important and interferes strongly with the dominant Δ-Kroll-Ruderman term to produce the experimental peak of the kross section. Oset Baguena, Eulogio, Eulogio.Oset@ific.uv.es

UNESCO::FÍSICA::NucleónicaInvariant-mass distributions:FÍSICA [UNESCO]intermediate baryonic statesUNESCO::FÍSICA:FÍSICA::Nucleónica [UNESCO]γN → ππN
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