Search results for "interpolation."

showing 10 items of 253 documents

QUANTUM SPIN CHAINS WITH COMPOSITE SPIN

1988

The ground state of quantum spin chains with two spin-1/2 operators per site is determined from finite chain calculations and compared to predictions from the continuum limit. As particular cases, results for the spin-1 Heisenberg chain, the spin-1 model with bilinear and biquadratic exchange and the extended Hubbard model are analysed.

PhysicsQuantum spin chainsContinuum (measurement)Condensed matter physicsHubbard modelQuantum mechanicsComposite numberGeneral EngineeringBilinear interpolationCondensed Matter::Strongly Correlated ElectronsGround stateLe Journal de Physique Colloques
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Renormalization Constants of Quark Operators for the Non-Perturbatively Improved Wilson Action

2004

We present the results of an extensive lattice calculation of the renormalization constants of bilinear and four-quark operators for the non-perturbatively O(a)-improved Wilson action. The results are obtained in the quenched approximation at four values of the lattice coupling by using the non-perturbative RI/MOM renormalization method. Several sources of systematic uncertainties, including discretization errors and final volume effects, are examined. The contribution of the Goldstone pole, which in some cases may affect the extrapolation of the renormalization constants to the chiral limit, is non-perturbatively subtracted. The scale independent renormalization constants of bilinear quark…

PhysicsQuarkNONPERTURBATIVE RENORMALIZATIONNuclear and High Energy PhysicsDiscretizationHigh Energy Physics::LatticeHigh Energy Physics - Lattice (hep-lat)ExtrapolationFOS: Physical sciencesBilinear interpolationFísicaQuenched approximationRenormalizationHigh Energy Physics - LatticeLattice (order)visual_artvisual_art.visual_art_mediumGoldstoneMathematical physics
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Linear response in multipolar glasses

1988

We consider the unified hamiltonian with a bilinear coupling, describing the Ising-, vector-, Potts-, octupolar-glass and other glasses [1, 2]. We systematically derive the response to a homogeneous tensor-field as well as the response to an inhomogeneous random tensor-field. We investigate the overlap distribution function and its first and second moment. In all these considerations, we recover the results of the Ising spin glass for sufficiently symmetric multipolar glasses, but we also obtain differnt results for less symmetric glasses.

PhysicsRandom fieldBilinear interpolationSecond moment of areaCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksElectronic Optical and Magnetic MaterialsCondensed Matter::Soft Condensed Mattersymbols.namesakeDistribution functionElectric fieldQuantum mechanicssymbolsGeneral Materials ScienceIsing modelStatistical physicsHamiltonian (quantum mechanics)Potts modelZeitschrift f�r Physik B Condensed Matter
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General interpolation scheme for thermal fluctuations in superconductors

2006

We present a general interpolation theory for the phenomenological effects of thermal fluctuations in superconductors. Fluctuations are described by a simple gauge invariant extension of the gaussian effective potential for the Ginzburg-Landau static model. The approach is shown to be a genuine variational method, and to be stationary for infinitesimal gauge variations around the Landau gauge. Correlation and penetration lengths are shown to depart from the mean field behaviour in a more or less wide range of temperature below the critical regime, depending on the class of material considered. The method is quite general and yields a very good interpolation of the experimental data for very…

PhysicsSuperconductivityCondensed Matter - SuperconductivitysuperconductivityfluctuationsGaussianFOS: Physical sciencessuperconductivity; fluctuations; high-Tc superconductorsThermal fluctuationsCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsSuperconductivity (cond-mat.supr-con)symbols.namesakeVariational methodMean field theoryQuantum electrodynamicshigh-Tc superconductorssymbolsGinzburg–Landau theoryStatistical physicsGauge theorySuperconductivity phenomenological theoriesInterpolation theoryPhysical Review B
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Data analysis procedures for pulse ELDOR measurements of broad distance distributions

2004

The reliability of procedures for extracting the distance distribution between spins from the dipolar evolution function is studied with particular emphasis on broad distributions. A new numerically stable procedure for fitting distance distributions with polynomial interpolation between sampling points is introduced and compared to Tikhonov regularization in the dipolar frequency and distance domains and to approximate Pake transformation. Distance distributions with only narrow peaks are most reliably extracted by distance-domain Tikhonov regularization, while frequency-domain Tikhonov regularization is favorable for distributions with only broad peaks. For the quantification of distribut…

PhysicsTikhonov regularizationTransformation (function)Distribution (mathematics)Hermite polynomialsSpinsStatistical physicsFunction (mathematics)Atomic and Molecular Physics and OpticsPolynomial interpolationInterpolation
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Rational Hermite Interpolation and Quadrature

1993

Rational Hermite interpolation is used in two different ways in order to derive and analyze quadrature rules. One approach yields quadratures of Gaussian-type whereas the other one generalizes Engels’ dual quadratures exhibiting the close connection between rational Hermite interpolation and quadrature in general.

Physics::Computational PhysicsCubic Hermite splineHermite splineChebyshev–Gauss quadratureHermite interpolationMonotone cubic interpolationApplied mathematicsBirkhoff interpolationComputer Science::Numerical AnalysisGauss–Kronrod quadrature formulaMathematics::Numerical AnalysisMathematicsClenshaw–Curtis quadrature
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A neural network clustering algorithm for the ATLAS silicon pixel detector

2014

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. …

Physics::Instrumentation and DetectorsCiencias FísicasMonte Carlo methodHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)jetParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]Statistical physicscluster [track data analysis]Particle tracking detectors (solid-state detectors)InstrumentationQCMathematical PhysicsPhysicsArtificial neural networkAtlas (topology)Detectordetectors)Monte Carlo [numerical calculations]ATLASperformance [neural network]CERN LHC CollParticle tracking detectors (Solid-state detectors)Feature (computer vision)Physical SciencesParticle tracking detectors (Solid-stateParticle tracking detectors; Particle tracking detectors (Solid-state detectors)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCConnected-component labelingAlgorithmNeural networksCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentInterpolationCiências Naturais::Ciências Físicas530 Physicssplitting:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesParticle tracking detectors; Particle tracking detectors (solid-state detectors); Instrumentation; Mathematical Physics530FysikHigh Energy Physicsddc:610Cluster analysispixel [semiconductor detector]Science & TechnologyFísica//purl.org/becyt/ford/1.3 [https]High Energy Physics - Experiment; High Energy Physics - ExperimentParticle tracking detectorcluster [charged particle]AstronomíaParticle tracking detectors; Particle tracking detectors (Solid-state; detectors)Experimental High Energy Physicsimpact parameter [resolution]
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Higher Order Sobolev-Type Spaces on the Real Line

2014

This paper gives a characterization of Sobolev functions on the real line by means of pointwise inequalities involving finite differences. This is also shown to apply to more general Orlicz-Sobolev, Lorentz-Sobolev, and Lorentz-Karamata-Sobolev spaces.

PointwiseMathematics::Functional AnalysisArticle SubjectReal analysislcsh:Mathematicsta111Mathematical analysisMathematics::Analysis of PDEsFinite differencelcsh:QA1-939Sobolev inequalitySobolev spaceInterpolation spaceSobolev functionsBirnbaum–Orlicz spaceReal lineAnalysisMathematicsJournal of Function Spaces
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On Inverse Distance Weighting in Pollution Models

2011

When evaluating the impact of pollution, measurements from remote stations are often weighted by the inverse of distance raised to some nonnegative power (IDW). This is derived from Shepard's method of spatial interpolation (1968). The paper discusses the arbitrary character of the exponent of distance and the problem of monitoring stations that are close to the reference point. From elementary laws of physics, it is determined which exponent of distance should be chosen (or its upper bound) depending on the form of pollution encountered, such as radiant pollution (including radioactivity and sound), air pollution (plumes, puffs, and motionless clouds by using the classical Gaussian model),…

PollutionMeteorologymedia_common.quotation_subjectAir pollutionmedicine.disease_causeUpper and lower boundsWeightingMultivariate interpolationsymbols.namesakeInverse distance weightingsymbolsExponentmedicineEnvironmental scienceGaussian network modelPhysics::Atmospheric and Oceanic Physicsmedia_commonSSRN Electronic Journal
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Pollution models and inverse distance weighting: some critical remarks

2013

International audience; When evaluating the impact of pollution, measurements from remote stations are often weighted by the inverse of distance raised to some nonnegative power (IDW). This is derived from Shepard's method of spatial interpolation (1968). The paper discusses the arbitrary character of the exponent of distance and the problem of monitoring stations that are close to the reference point. From elementary laws of physics, it is determined which exponent of distance should be chosen (or its upper bound) depending on the form of pollution encountered, such as radiant pollution (including radioactivity and sound), air pollution (plumes, puffs, and motionless clouds by using the cl…

PollutionMeteorologymedia_common.quotation_subjectAir pollutionmedicine.disease_causeWeightingdistance inverseUpper and lower boundsMultivariate interpolationsymbols.namesakeInverse distance weightingStatisticsmedicineIDW[ SHS.ECO ] Humanities and Social Sciences/Economies and financesComputers in Earth Sciences[SHS.ECO] Humanities and Social Sciences/Economics and FinancePhysics::Atmospheric and Oceanic Physicsmedia_commonMathematicsExponentexposant[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDE.ES]Environmental Sciences/Environmental and SocietyPollutionWeightingpondérationExponentsymbolsShepard[SDE.ES] Environmental Sciences/Environmental and SocietyGaussian network modelInverse distance[ SDE.ES ] Environmental Sciences/Environmental and SocietyInformation Systems
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