Search results for "DISTRIBUTIONS"

showing 10 items of 214 documents

Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?

2009

Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.

modern economiesJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsO4JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressionsurban climate C31JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityclimat des affaires[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and Financecroissance urbainejel:C31JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and Changes[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesR11R12jel:O4metropolisesmétropolesJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityurban growthspatial interactionsinteractions spatialesjel:R12jel:R11économies modernesmodern economiesurban growthmetropolisesspatial interactionsurban climate C31O4R11R12croissance urbainemétropolesinteractions spatialesclimat des affaireséconomies modernesJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Ion beam intensity and phase space measurement techniques for ion sources.

2022

Ion sources produce beams used in accelerators and other applications. Both development and use of ion sources need beam diagnostics to probe the plasma processes and beam formation for optimization purposes and to produce beam parameters needed for transport tuning. These diagnostics include beam intensity measurements usually carried out with Faraday cups or inductive pickups, magnetic separation, profile measurements with scintillation screens and wires, and phase space measurements with different types of emittance scanners. peerReviewed

particle distributionsFaraday cupsion sourceswien filterplasma diagnosticsionitPhysics::Accelerator Physicsmeasuring instrumentsplasmafysiikkaInstrumentationphase space distributionThe Review of scientific instruments
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Orbital angular momentum parton distributions in quark models

1999

At the low energy, {\sl hadronic}, scale we calculate Orbital Angular Momentum (OAM) twist-two parton distributions for the relativistic MIT bag model and for non-relativistic quark models. We reach the scale of the data by leading order evolution in perturbative QCD. We confirm that the contribution of quarks and gluons OAM to the nucleon spin grows with $Q^2$, and it can be relevant at the experimental scale, even if it is negligible at the hadronic scale, irrespective of the model used. The sign and shape of the quark OAM distribution at high $Q^2$ may depend strongly on the relative size of the OAM and spin distributions at the hadronic scale. Sizeable quark OAM distributions at the had…

polarized DIS; Generalized parton distributions; evolution equationsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)evolution equationsHigh Energy Physics::PhenomenologyNuclear TheoryPhysics::OpticsFOS: Physical sciencesHigh Energy Physics::ExperimentNuclear ExperimentGeneralized parton distributionspolarized DIS
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Flamingo studies: a general introduction.

2017

28 pages; International audience; Flamingos are among the most amazing birds in the world. The first part of this chapter provides a general introduction to the various extant species of flamingos, including their physical descriptions, unique characteristics, numbers in the wild, and geographical distributions. The second part depicts a brief history of the discovery and scientific study of flamingos, from the earlier accounts dating from the 16th century to the development of the first long-term studies of banded populations in the second half of the 20th century. The third and final part of this chapter offers some perspectives for future research.

population size[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologyphoenicopterusmorphometricsphoenicoparrusflamingosdistributions[SDV.BID]Life Sciences [q-bio]/Biodiversity[SDE.BE] Environmental Sciences/Biodiversity and Ecologydemographic studiesbeahvior[SDE.BE]Environmental Sciences/Biodiversity and EcologyComputingMilieux_MISCELLANEOUS[SDV.BID] Life Sciences [q-bio]/Biodiversity
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The paradox of endogenous poverty line in the poverty indices

2007

february 23-25, 2007; When measuring poverty, the poverty line is considered to be relatively determined as a percentage of the median income or as a percentage of the average income so as to allow international comparisons. The poverty line relative to the median income may be described as endogenous in contrast with the poverty line relative to the average income which may be described as exogenous because it is independent of the normalized distribution of incomes. As the existing literature is focused on the properties of the indices but not on the respective interest of the endogenous and exogenous poverty lines, this paper compares the two definitions of the relative poverty. The Rela…

poverty linepovertypoverty indexesJEL: D - Microeconomics/D.D6 - Welfare Economics/D.D6.D63 - Equity Justice Inequality and Other Normative Criteria and Measurementmedian[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : D - Microeconomics/D.D3 - Distribution/D.D3.D31 - Personal Income Wealth and Their DistributionsJEL : I - Health Education and Welfare/I.I3 - Welfare Well-Being and Poverty/I.I3.I32 - Measurement and Analysis of PovertyJEL: D - Microeconomics/D.D3 - Distribution/D.D3.D31 - Personal Income Wealth and Their DistributionsJEL : D - Microeconomics/D.D6 - Welfare Economics/D.D6.D63 - Equity Justice Inequality and Other Normative Criteria and MeasurementJEL: I - Health Education and Welfare/I.I3 - Welfare Well-Being and Poverty/I.I3.I32 - Measurement and Analysis of Poverty
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Pseudorapidity and transverse-momentum distributions of charged particles in proton–proton collisions at √s = 13 TeV

2016

The pseudorapidity (η) and transverse-momentum (pT) distributions of charged particles produced in proton–proton collisions are measured at the centre-of-mass energy √s = 13 TeV. The pseudorapidity distribution in |η| < 1.8 is reported for inelastic events and for events with at least one charged particle in |η| < 1. The pseudorapidity density of charged particles produced in the pseudorapidity region |η| < 0.5 is 5.31 ± 0.18 and 6.46 ± 0.19 for the two event classes, respectively. The transverse-momentum distribution of charged particles is measured in the range 0.15 < pT < 20 GeV/c and |η| < 0.8 for events with at least one charged particle in |η| < 1. The evolution of the transverse mome…

pseudorapidity distributionsHigh Energy Physics::Experimentproton-proton collisionsNuclear Experimenttransverse-momentum distributions
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ESTIMATING RAINFALL EROSIVITY BY DROP SIZE DISTRIBUTIONS

Water soil erosion is a process of detachment and transport of soil particles due to rainfall and runoff and it is the main cause of the modeling of extended portions of the earth's surface. The acceleration of the process through anthropogenic perturbation has severe impacts on soil and environmental quality. Soil erosion above a certain level will reduce soil productivity over the long haul. It exposes subsoil, which has often poor qualities for crop establishment and growth, and it can lead to stand loss by sediment deposition. A fundamental property of rainfall for understanding how it is made up is the raindrop size distribution (DSD). The knowledge of the raindrop size distribution at…

rainfall intensityrainfall kinetic powerSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliRainfall erosivitydrop size distributions
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Jet fragmentation transverse momentum distributions in pp and p-Pb collisions at √s, √sNN = 5.02 TeV

2021

Jet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and Pythia 8 based models describe the data well for the higher jT region, while they underestimate the low…

related to the perturbative component of the fragmentation processthe measured trends are successfully described by all models except for Herwig. For the wide componentHerwig and PYTHIA 8 based models slightly underestimate the data for the higher jet transverse momentum region. These measurements set constraints on models of jet fragmentation and hadronisation.Nuclear and High Energy Physicswhile that of the inverse gamma function increases with increasing jet transverse momentum. For the narrow componentHeavy Ion Experimentsand with a Gaussian for lower jT values (called the “narrow component”)hiukkasfysiikkawhile they underestimate the lower jT region. The jT distributions are further characterised by fitting them with a function composed of an inverse gamma function for higher jT values (called the “wide component”)predominantly connected to the hadronisation process. The width of the Gaussian has only a weak dependence on jet transverse momentumJet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and PYTHIA 8 based models describe the data well for the higher jT region
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Charged jet cross sections and properties in proton-proton collisions at $\sqrt{s}=7$ TeV

2015

The differential charged jet cross sections, jet fragmentation distributions, and jet shapes are measured in minimum bias proton-proton collisions at centre-of-mass energy $\sqrt{s}=7$ TeV using the ALICE detector at the LHC. Jets are reconstructed from charged particle momenta in the mid-rapidity region using the sequential recombination $k_{\rm T}$ and anti-$k_{\rm T}$ as well as the SISCone jet finding algorithms with several resolution parameters in the range $R=0.2$ to $0.6$. Differential jet production cross sections measured with the three jet finders are in agreement in the transverse momentum ($p_{\rm T}$) interval $20<p_{\rm T}^{\rm jet,ch}<100$ GeV/$c$. They are also consistent w…

shapes:Kjerne- og elementærpartikkelfysikk: 431 [VDP]parton distributionsMonte Carlo methodP(P)OVER-BAR COLLISIONSALICE Charged jet proton-proton 7 TeVATLAS DETECTOR01 natural sciencesSpectral lineHigh Energy Physics - Experimentdifferential charged jet cross sectionENERGYHigh Energy Physics - Experiment (hep-ex)ALICEFragmentation (mass spectrometry)Nuclear and High Energy Physics differential charged jet cross sectionfragmentation[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)ROOT-S(NN)=2.76 TEVNuclear ExperimentNuclear Experimentroot-s(nn)=2.76 tevatlas detectorPhysicsLarge Hadron Collidercross sectionPhysicsDetectorCharged particle3. Good health:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]charged jetsPRIRODNE ZNANOSTI. Fizika.:Nuclear and elementary particle physics: 431 [VDP]SHAPESTransverse momentumHADRON-COLLISIONSFRAGMENTATIONpp collisionsenergyParticle physicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaCharged jetVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431FOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencestransverse-momentumNuclear physicsMinimum bias(P)OVER-BAR-P COLLISIONS P(P)OVER-BAR COLLISIONS PP COLLISIONS PARTON DISTRIBUTIONS TRANSVERSE-MOMENTUM SHAPES ALGORITHM ENERGY0103 physical sciences7 TeVNuclear Physics - Experimentproton-protonALGORITHM010306 general physics(p)over-bar-p collisionsPP COLLISIONSta114(P)OVER-BAR-P COLLISIONSVDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]TRANSVERSE-MOMENTUMNATURAL SCIENCES. Physics.(p)over-bar-p collisions ; parton distributions ; transverse-momentum ; root-s(nn)=2.76 tev ; hadron-collisions ; atlas detector ; pp collisions ; fragmentation ; shapes ; energy ; charged jet ; cross section ; proton-proton ; 7 TeVhadron-collisionsPARTON DISTRIBUTIONSALICE; Charged jet; proton-proton; 7 TeVproton-proton collisionsHigh Energy Physics::Experimentcharged jet
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Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

2021

Ilbert, O., et al. (Euclid Collaboration)

statistical [Methods]IMPACTUNIVERSEAstrophysics01 natural sciencesDark energyGalaxies: distances and redshiftdark energyPHOTOMETRIC REDSHIFTS010303 astronomy & astrophysicsWeak gravitational lensingPhotometric redshiftmedia_commonPhysicsdistances and redshift [Galaxies]Dark energy; Galaxies: distances and redshifts; Methods: statisticalSIMULATIONastro-ph.CO3103 Astronomy and AstrophysicsProbability distributionSpectral energy distributiongalaxies: distances and redshiftsAstrophysics - Cosmology and Nongalactic AstrophysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)530 Physicsastro-ph.GAmedia_common.quotation_subjectFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysics1912 Space and Planetary Science0103 physical sciencesdistances and redshifts [Galaxies]/dk/atira/pure/subjectarea/asjc/1900/1912DISTRIBUTIONSmethods: statistical010308 nuclear & particles physicsAstronomy and AstrophysicsPERFORMANCE115 Astronomy Space scienceAstrophysics - Astrophysics of GalaxiesEVOLUTIONGalaxyUniverseRedshiftSTELLARRESOLUTIONSpace and Planetary Science10231 Institute for Computational ScienceAstrophysics of Galaxies (astro-ph.GA)Dark energy/dk/atira/pure/subjectarea/asjc/3100/3103[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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