Search results for "Scaling"

showing 10 items of 754 documents

Cross Correlations in Scaling Analyses of Phase Transitions

2008

Thermal or finite-size scaling analyses of importance sampling Monte Carlo time series in the vicinity of phase transition points often combine different estimates for the same quantity, such as a critical exponent, with the intent to reduce statistical fluctuations. We point out that the origin of such estimates in the same time series results in often pronounced cross-correlations which are usually ignored even in high-precision studies, generically leading to significant underestimation of statistical fluctuations. We suggest to use a simple extension of the conventional analysis taking correlation effects into account, which leads to improved estimators with often substantially reduced …

Statistical Mechanics (cond-mat.stat-mech)Monte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyStatistical fluctuationsDynamic Monte Carlo methodMonte Carlo method in statistical physicsStatistical physicsCritical exponentScalingCondensed Matter - Statistical MechanicsImportance samplingMonte Carlo molecular modelingMathematicsPhysical Review Letters
researchProduct

Finite-size scaling analysis of the ?4 field theory on the square lattice

1986

Monte-Carlo calculations are performed for the model Hamiltonian ℋ = ∑i[(r/2)Φ 2(i)+(u/4)/gF4(i)]+∑ (C/2)[Φ (i)−Φ(j)]2 for various values of the parametersr, u, C in the crossover region from the Ising limit (r→-∞,u+∞) to the displacive limit (r=0). The variableφ(i) is a scalar continuous spin variable which can lie in the range-∞<φ(i)<+∞, for each lattice site (i).φ(i) is a priori selected proportional to the single-site probability in our Monte Carlo algorithm. The critical line is obtained in very good agreement with other previous approaches. A decrease of apparent critical exponents, deduced from a finite-size scaling analysis, is attributed to a crossover toward mean-field values at t…

Statistical and Nonlinear PhysicsSquare latticesymbols.namesakeMean field theoryCritical lineQuantum mechanicsLattice (order)symbolsIsing modelHamiltonian (quantum mechanics)Critical exponentScalingMathematical PhysicsMathematicsJournal of Statistical Physics
researchProduct

Statistical downscaling method of regional climate model results for hydrological modelling

2009

Statistical downscaling:NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences [Research Subject Categories]Bias correctionHistogram equalizationRegional climate model
researchProduct

Rare events and scaling properties in field-induced anomalous dynamics

2012

We show that, in a broad class of continuous time random walks (CTRW), a small external field can turn diffusion from standard into anomalous. We illustrate our findings in a CTRW with trapping, a prototype of subdiffusion in disordered and glassy materials, and in the L\'evy walk process, which describes superdiffusion within inhomogeneous media. For both models, in the presence of an external field, rare events induce a singular behavior in the originally Gaussian displacements distribution, giving rise to power-law tails. Remarkably, in the subdiffusive CTRW, the combined effect of highly fluctuating waiting times and of a drift yields a non-Gaussian distribution characterized by long sp…

Statistics and ProbabilityField (physics)GaussianFOS: Physical sciencesQuantitative Biology::Cell Behaviorsymbols.namesaketransport processes/heat transfer (theory). diffusionRare eventsstochastic particle dynamics (theory)Statistical physicsDiffusion (business)ScalingPhysicsdiffusiondriven diffusive systems (theory)Statistical and Nonlinear PhysicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksRandom walkDistribution (mathematics)Lévy flighttransport processes/heat transfer (theory)symbolsdiffusion; stochastic particle dynamics (theory); driven diffusive systems (theory); transport processes/heat transfer (theory)Statistics Probability and UncertaintyStatistical and Nonlinear PhysicJournal of Statistical Mechanics: Theory and Experiment
researchProduct

A topological phase transition between small-worlds and fractal scaling in urban railway transportation networks?

2009

Abstract Fractal and small-worlds scaling laws are applied to study the growth of urban railway transportation networks using total length and total population as observational parameters. In spite of the variety of populations and urban structures, the variation of the total length of the railway network with the total population of conurbations follows similar patterns for large and middle metropolis. Diachronous analysis of data for urban transportation networks suggests that there is second-order phase transition from small-worlds behaviour to fractal scaling during their early stages of development.

Statistics and ProbabilityFractalFractal scalingData analysisSmall worldsRailway transportationTopological orderDiachronousStatistical physicsTotal populationCondensed Matter PhysicsMathematicsPhysica A: Statistical Mechanics and its Applications
researchProduct

On the derivation of a linear Boltzmann equation from a periodic lattice gas

2004

We consider the problem of deriving the linear Boltzmann equation from the Lorentz process with hard spheres obstacles. In a suitable limit (the Boltzmann-Grad limit), it has been proved that the linear Boltzmann equation can be obtained when the position of obstacles are Poisson distributed, while the validation fails, also for the "correct" ratio between obstacle size and lattice parameter, when they are distributed on a purely periodic lattice, because of the existence of very long free trajectories. Here we validate the linear Boltzmann equation, in the limit when the scatterer's radius epsilon vanishes, for a family of Lorentz processes such that the obstacles have a random distributio…

Statistics and ProbabilityHPP modelApplied MathematicsMathematical analysisLattice Boltzmann methodsHard spheresLattice gaBoltzmann equationLattice gasLattice constantModelling and SimulationModeling and SimulationLattice (order)Linear Boltzmann equationMarkov proceMarkov processJump processScalingLinear equationMathematicsStochastic Processes and their Applications
researchProduct

Vortex length, vortex energy and fractal dimension of superfluid turbulence at very low temperature

2010

By assuming a self-similar structure for Kelvin waves along vortex loops with successive smaller scale features, we model the fractal dimension of a superfluid vortex tangle in the zero temperature limit. Our model assumes that at each step the total energy of the vortices is conserved, but the total length can change. We obtain a relation between the fractal dimension and the exponent describing how the vortex energy per unit length changes with the length scale. This relation does not depend on the specific model, and shows that if smaller length scales make a decreasing relative contribution to the energy per unit length of vortex lines, the fractal dimension will be higher than unity. F…

Statistics and ProbabilityLength scalePhysicsfractal dimensionScale (ratio)TurbulenceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMechanicsFractal dimensionSuperfluid turbulenceVortexCondensed Matter - Other Condensed MatterSuperfluiditysymbols.namesakeModeling and SimulationsymbolsKelvin waveScalingSettore MAT/07 - Fisica MatematicaMathematical PhysicsOther Condensed Matter (cond-mat.other)vortice
researchProduct

STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling

2012

STATIS is an extension of principal component analysis PCA tailored to handle multiple data tables that measure sets of variables collected on the same observations, or, alternatively, as in a variant called dual-STATIS, multiple data tables where the same variables are measured on different sets of observations. STATIS proceeds in two steps: First it analyzes the between data table similarity structure and derives from this analysis an optimal set of weights that are used to compute a linear combination of the data tables called the compromise that best represents the information common to the different data tables; Second, the PCA of this compromise gives an optimal map of the observation…

Statistics and ProbabilityMathematical optimizationSimilarity (geometry)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Linear discriminant analysiscomputer.software_genre01 natural sciences[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Correspondence analysisSet (abstract data type)010104 statistics & probability03 medical and health sciences0302 clinical medicine[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Multiple factor analysisPrincipal component analysisMetric (mathematics)Data miningMultidimensional scaling[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicscomputer030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUSMathematics
researchProduct

Critical phenomena at surfaces

1990

Abstract The presence of free surfaces adds a rich and interesting complexity to critical phenomena associated with phase transitions occurring in bulk materials. We shall review Monte Carlo computer simulation studies of surface critical behavior in simple cubic Ising- and XY-models with nearest-neighbor interactions J in the bulk and Js at the surface. These studies allow the identification of various critical exponents and critical amplitude ratios involving both the critical behavior of local quantities and of surface excess corrections to the bulk. We consider both the “ordinary” transition (surface criticality controlled by the bulk) and the “special transition” (a multicritical point…

Statistics and ProbabilityPhase transitionCondensed matter physicsCritical point (thermodynamics)Critical phenomenaMulticritical pointIsing modelStatistical physicsRenormalization groupCondensed Matter PhysicsScalingCritical exponentMathematicsPhysica A: Statistical Mechanics and its Applications
researchProduct

Fisher Renormalization for Logarithmic Corrections

2008

For continuous phase transitions characterized by power-law divergences, Fisher renormalization prescribes how to obtain the critical exponents for a system under constraint from their ideal counterparts. In statistical mechanics, such ideal behaviour at phase transitions is frequently modified by multiplicative logarithmic corrections. Here, Fisher renormalization for the exponents of these logarithms is developed in a general manner. As for the leading exponents, Fisher renormalization at the logarithmic level is seen to be involutory and the renormalized exponents obey the same scaling relations as their ideal analogs. The scheme is tested in lattice animals and the Yang-Lee problem at t…

Statistics and ProbabilityPhase transitionLogarithmStatistical Mechanics (cond-mat.stat-mech)Multiplicative functionFOS: Physical sciencesStatistical and Nonlinear PhysicsStatistical mechanicsRenormalizationIdeal (order theory)Statistics Probability and UncertaintyCritical exponentScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematics
researchProduct