Search results for "Scaling"

showing 10 items of 754 documents

Lattice-constrained parametrizations of form factors for semileptonic and rare radiative B decays

1997

We describe the form factors for B to rho lepton neutrino and B to K* gamma decays with just two parameters and the two form factors for B to pi lepton neutrino with a further two or three parameters. The parametrizations are consistent with heavy quark symmetry, kinematic constraints and lattice results, which we use to determine the parameters. In addition, we test versions of the parametrizations consistent (or not) with light-cone sum rule scaling relations at q^2=0.

QuarkPhysicsNuclear and High Energy PhysicsParticle physicsHigh Energy Physics - Lattice (hep-lat)High Energy Physics::Phenomenologyhep-latLattice QCD calculationFOS: Physical sciencesFísicaAtomic and Molecular Physics and OpticsSemileptonic and rare radiative decays of B mesonsHigh Energy Physics - LatticeDetermination of Cabibbo-Kobayashi-Maskawa matrix elementsLattice (order)Radiative transferHigh Energy Physics::ExperimentSum rule in quantum mechanicsNeutrinoScalingHeavy quark effective theoryTwo-formLepton
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Formation of Ordered Structures in Quenching Experiments: Scaling Theory and Simulations

1987

In this note we want to address the particular problem of the formation of ordered structures resulting from “quenching experiments”. The generic experimental situation is depicted in Figure 1. Initially the system is in an unordered random state in the one-phase region. Then the temperature is lowered (for some systems like polymers the coexistence curve is inverted so that the temperature must be raised) until the system is in the two phase region. The system is now in a non-equilibrium situation and evolves toward equilibrium. It is during the evolution toward equilibrium that the system develops ordered structures /1,2/.

QuenchingBinodalPhase (matter)ThermodynamicsIsing modelState (functional analysis)Statistical physicsScaling theoryMathematics
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Queuing transitions in the asymmetric simple exclusion process

2003

Stochastic driven flow along a channel can be modeled by the asymmetric simple exclusion process. We confirm numerically the presence of a dynamic queuing phase transition at a nonzero obstruction strength, and establish its scaling properties. Below the transition, the traffic jam is macroscopic in the sense that the length of the queue scales linearly with system size. Above the transition, only a power-law shaped queue remains. Its density profile scales as $\delta \rho\sim x^{-\nu}$ with $\nu={1/3}$, and $x$ is the distance from the obstacle. We construct a heuristic argument, indicating that the exponent $\nu={1/3}$ is universal and independent of the dynamic exponent of the underlying…

Queueing theoryPhase transitionStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesAsymmetric simple exclusion process01 natural sciences010305 fluids & plasmasFlow (mathematics)Quantum mechanics0103 physical sciencesExponentStatistical physics010306 general physicsHeuristic argumentQueueScalingCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Analyzing assessors and products in sorting tasks: DISTATIS, theory and applications

2007

Abstract In this paper we present a new method called distatis that can be applied to the analysis of sorting data. D istatis is a generalization of classical multidimensional scaling which allows one to analyze 3-ways distance tables. When used for analyzing sorting tasks, distatis takes into account individual sorting data. Specifically, when distatis is used to analyze the results of an experiment in which several assessors sort a set of products, we obtain two types of maps: One for the assessors and one for the products. In these maps, the proximity between two points reflects their similarity, and therefore these maps can be read using the same rules as standard metric multidimensiona…

RV coefficientNutrition and DieteticsSimilarity (geometry)GeneralizationSortingcomputer.software_genreSet (abstract data type)Metric (mathematics)sortData miningMultidimensional scalingAlgorithmcomputerFood ScienceMathematicsFood Quality and Preference
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DISTATIS: The Analysis of Multiple Distance Matrices

2006

In this paper we present a generalization of classical multidimensional scaling called DISTATIS which is a new method that can be used to compare algorithms when their outputs consist of distance matrices computed on the same set of objects. The method first evaluates the similarity between algorithms using a coefficient called the RV coefficient. From this analysis, a compromise matrix is computed which represents the best aggregate of the original matrices. In order to evaluate the differences between algorithms, the original distance matrices are then projected onto the compromise. We illustrate this method with a "toy example" in which four different "algorithms" (two computer programs …

RV coefficientSet (abstract data type)Matrix (mathematics)Similarity (network science)Computer scienceGeneralizationbusiness.industryMultidimensional scalingArtificial intelligenceMultidimensional systemsbusinessDistance matrices in phylogeny2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
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Validation of daily global solar irradiation images from MSG over Spain

2013

Abstract Daily irradiation images over Spain – area that embraces a highly heterogeneous landscape, climatic conditions and relief – are calculated from the down-welling surface short-wave radiation flux (DSSF) product derived from the MSG SEVIRI images. Their analysis and validation is carried out using two different station networks along the year 2008. The first network covers the peninsular Spain and Balearic islands. A denser one, covering the Catalonian territory and including many stations located in rugged terrain, is found useful to assess the elevation correction to be applied to the images. The statistics from the validation using the first network shows a relative mean bias of a…

Radiation fluxRenewable Energy Sustainability and the EnvironmentSkymedia_common.quotation_subjectElevationEnvironmental scienceSampling (statistics)TerrainDigital elevation modelImage resolutionRemote sensingmedia_commonDownscalingRenewable Energy
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Finite-size scaling in Ising-like systems with quenched random fields: Evidence of hyperscaling violation

2010

In systems belonging to the universality class of the random field Ising model, the standard hyperscaling relation between critical exponents does not hold, but is replaced by a modified hyperscaling relation. As a result, standard formulations of finite size scaling near critical points break down. In this work, the consequences of modified hyperscaling are analyzed in detail. The most striking outcome is that the free energy cost \Delta F of interface formation at the critical point is no longer a universal constant, but instead increases as a power law with system size, \Delta F proportional to $L^\theta$, with $\theta$ the violation of hyperscaling critical exponent, and L the linear ex…

Random fieldStatistical Mechanics (cond-mat.stat-mech)Physical constantFOS: Physical sciencesRenormalization group01 natural sciencesPower lawCritical point (mathematics)010305 fluids & plasmasQuantum electrodynamics0103 physical sciencesIsing modelStatistical physics010306 general physicsCritical exponentScalingCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Coexisting electron emission mechanisms in small metal particles observed in fs-laser excited PEEM

2007

Abstract Silver cluster films deposited on Si(1 1 1) were investigated by spectroscopic photoelectron microscopy using fs-laser excitation tuneable between hν = 1.45–1.65 eV and 2.9–3.3 eV. With increasing coverage the films grown as stepped wedges first exhibit clusters of few nanometers diameter with narrow size distributions that later agglomerate forming larger islands up to about 100 nm diameter. The cluster films have been characterized by SEM, AFM and HR-TEM. In the 3.1 eV range the small clusters emit more effectively and the dependence of electron yield on laser power follows a quadratic power law. Microspectroscopy reveals that the Fermi level onset is sharp(

Range (particle radiation)ChemistryFermi levelSurfaces and InterfacesElectronCondensed Matter PhysicsLaserSurfaces Coatings and Filmslaw.inventionsymbols.namesakelawExcited stateMaterials ChemistrysymbolsCluster (physics)Laser power scalingAtomic physicsExcitationSurface Science
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Differential Cross Sections and Product Rovibrational Distributions for (16)O + (32)O2 and (18)O + (36)O2 Collisions.

2015

We report rotationally resolved opacity functions, product rotational distributions, and differential cross sections for the (16)O + (16)O(16)O (v = 0,j = 1) → (16)O(16)O (v' = 0,j') + (16)O and (18)O + (18)O(18)O (v = 0,j = 1) → (18)O(18)O (v' = 0,j') + (18)O collisions calculated by a time-independent quantum mechanical method employing one of the latest potential energy surface of ozone [ Dawes ; et al. J. Chem. Phys. 2013 , 139 , 201103 ]. The results obtained for both collisional systems in the energy range 0.001-0.2 eV are examined, and interesting mass scaling effects have been discovered. The shapes of product angular distributions suggest a transition from an indirect to a direct s…

Range (particle radiation)OpacityChemistryScatteringProduct (mathematics)Potential energy surfaceRotational–vibrational spectroscopyPhysical and Theoretical ChemistryAtomic physicsMass scalingDifferential (mathematics)The journal of physical chemistry. A
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Calculation of excitation energies from the CC2 linear response theory using Cholesky decomposition

2014

A new implementation of the approximate coupled cluster singles and doubles CC2 linear response model is reported. It employs a Cholesky decomposition of the two-electron integrals that significantly reduces the computational cost and the storage requirements of the method compared to standard implementations. Our algorithm also exploits a partitioning form of the CC2 equations which reduces the dimension of the problem and avoids the storage of doubles amplitudes. We present calculation of excitation energies of benzene using a hierarchy of basis sets and compare the results with conventional CC2 calculations. The reduction of the scaling is evaluated as well as the effect of the Cholesky …

Reduction (complexity)Coupled clusterDimension (vector space)Basis (linear algebra)ChemistryComputational chemistryExtrapolationGeneral Physics and AstronomyApplied mathematicsPhysical and Theoretical ChemistryScalingBasis setCholesky decomposition
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