Search results for "scaling"

showing 10 items of 754 documents

Kardar–Parisi–Zhang scaling in kinetic roughening of fire fronts

1999

Abstract We show that the roughening of fire fronts in slow combustion of paper [7] follows the scaling predictions of the Kardar–Parisi–Zhang equation with thermal noise. By improved experimental accuracy it is now possible to observe the short-time and short-range correlations of the interfaces. These do not adhere to any standard picture, and in particular, do not seem to be related to any of the existing models of front propagation in the presence of quenched disorder.

Statistics and ProbabilityPhysicsFront propagationCondensed Matter::Statistical MechanicsStatistical physicsCondensed Matter PhysicsKinetic energyCombustionCondensed Matter::Disordered Systems and Neural NetworksScalingPhysica A: Statistical Mechanics and its Applications
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Monte Carlo investigations of phase transitions: status and perspectives

2000

Using the concept of finite-size scaling, Monte Carlo calculations of various models have become a very useful tool for the study of critical phenomena, with the system linear dimension as a variable. As an example, several recent studies of Ising models are discussed, as well as the extension to models of polymer mixtures and solutions. It is shown that using appropriate cluster algorithms, even the scaling functions describing the crossover from the Ising universality class to the mean-field behavior with increasing interaction range can be described. Additionally, the issue of finite-size scaling in Ising models above the marginal dimension (d*=4) is discussed.

Statistics and ProbabilityPhysicsPhase transitionStatistical Mechanics (cond-mat.stat-mech)Critical phenomenaMonte Carlo methodCrossoverFOS: Physical sciencesRenormalization groupCondensed Matter PhysicsDimension (vector space)Ising modelStatistical physicsScalingCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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Varying-time random effects models for longitudinal data: unmixing and temporal interpolation of remote-sensing data

2008

Remote sensing is a helpful tool for crop monitoring or vegetation-growth estimation at a country or regional scale. However, satellite images generally have to cope with a compromise between the time frequency of observations and their resolution (i.e. pixel size). When concerned with high temporal resolution, we have to work with information on the basis of kilometric pixels, named mixed pixels, that represent aggregated responses of multiple land cover. Disaggreggation or unmixing is then necessary to downscale from the square kilometer to the local dynamic of each theme (crop, wood, meadows, etc.). Assuming the land use is known, that is to say the proportion of each theme within each m…

Statistics and ProbabilityPixelCovariance functionComputer scienceEstimatorLand coverStatistics Probability and UncertaintyBest linear unbiased predictionRandom effects modelScale (map)Remote sensingDownscalingJournal of Applied Statistics
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On the stability and ergodicity of adaptive scaling Metropolis algorithms

2011

The stability and ergodicity properties of two adaptive random walk Metropolis algorithms are considered. The both algorithms adjust the scaling of the proposal distribution continuously based on the observed acceptance probability. Unlike the previously proposed forms of the algorithms, the adapted scaling parameter is not constrained within a predefined compact interval. The first algorithm is based on scale adaptation only, while the second one incorporates also covariance adaptation. A strong law of large numbers is shown to hold assuming that the target density is smooth enough and has either compact support or super-exponentially decaying tails.

Statistics and ProbabilityStochastic approximationMathematics - Statistics TheoryStatistics Theory (math.ST)Law of large numbersMultiple-try Metropolis01 natural sciencesStability (probability)010104 statistics & probabilityModelling and Simulation65C40 60J27 93E15 93E35Adaptive Markov chain Monte CarloFOS: Mathematics0101 mathematicsScalingMetropolis algorithmMathematicsta112Applied Mathematics010102 general mathematicsRejection samplingErgodicityProbability (math.PR)ta111CovarianceRandom walkMetropolis–Hastings algorithmModeling and SimulationAlgorithmStabilityMathematics - ProbabilityStochastic Processes and their Applications
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Diffusive Behavior and the Modeling of Characteristic Times in Limit Order Executions

2007

We present a study of the order book data of the London Stock Exchange for five highly liquid stocks traded during the calendar year 2002. Specifically, we study the first passage time of order book prices needed to observe a prescribed price change Delta, the time to fill (TTF) for executed limit orders and the time to cancel (TTC) for canceled ones. We find that the distribution of the first passage time decays asymptotically in time as a power law with an exponent L_FPT ~ 1.5. The median of the same quantity scales as Delta^1.6, which is different from the Delta^2 behavior expected for Brownian motion. The quantities TTF, and TTC are also asymptotically power law distributed with exponen…

StatisticsOrder bookExponentStatistical physicsLimit (mathematics)First-hitting-time modelRandom walkPower lawScalingBrownian motionMathematicsSSRN Electronic Journal
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The Second APOKASC Catalog: The Empirical Approach

2018

We present a catalog of stellar properties for a large sample of 6676 evolved stars with APOGEE spectroscopic parameters and \textit{Kepler} asteroseismic data analyzed using five independent techniques. Our data includes evolutionary state, surface gravity, mean density, mass, radius, age, and the spectroscopic and asteroseismic measurements used to derive them. We employ a new empirical approach for combining asteroseismic measurements from different methods, calibrating the inferred stellar parameters, and estimating uncertainties. With high statistical significance, we find that asteroseismic parameters inferred from the different pipelines have systematic offsets that are not removed b…

Stellar populationoscillations (including pulsations) [stars]fundamental parameters [stars]KEPLERFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciences0103 physical sciencesOSCILLATIONSAstrophysics::Solar and Stellar AstrophysicsStatistical dispersionstars abundancesFIELD010303 astronomy & astrophysicsRed clumpScalingComputingMilieux_MISCELLANEOUSAstrophysics::Galaxy AstrophysicsSolar and Stellar Astrophysics (astro-ph.SR)PhysicsMIXING-LENGTH010308 nuclear & particles physicsAstronomy and AstrophysicsRadiusSurface gravityAGESRED GIANTSStarsStar clusterAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceOPEN CLUSTERSAstrophysics::Earth and Planetary AstrophysicsBOLOMETRIC CORRECTIONS[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]STARSASTEROSEISMIC MASS
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Roughness of two nonintersecting one-dimensional interfaces.

2006

The dynamics of two spatially discrete one-dimensional single-step model interfaces with a noncrossing constraint is studied in both nonsymmetric propagating and symmetric relaxing cases. We consider possible scaling scenarios and study a few special cases by using continuous-time Monte Carlo simulations. The roughness of the interfaces is observed to be nonmonotonic as a function of time, and in the stationary state it is nonmonotonic also as a function of the strength of the effective force driving the interfaces against each other. This is related on the one hand to the reduction of the available configuration space and on the other hand to the ability of the interfaces to conform to eac…

Stochastic processMonte Carlo methodStatistical physicsFunction (mathematics)Configuration spaceSurface finishReduction (mathematics)ScalingStationary stateMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Pianificazione strategica tra sviluppo locale e policentrismo: alcune evidenze empiriche sul caso siciliano

2009

Strategic planning, local development and policentrism: empirical evidence for Sicily The aim of this paper is the analysis of metropolitan strategic planning in Sicily. Urban areas are becoming important units for territorial cohesion policy and strategic planning represents more and more an important policy instrument. Evidence of a policentric pattern is tested across 30 strategic plans carried out by Sicilian cities in order to derive useful insights for policy implications. Methods and Results This study uses multidimensional scaling and rank-size regressions across Sicilian Functional Urban Areas (FUA) as well as descriptive information drawn from strategic plans in order to identify …

Strategic planningLocal DevelopmentLocale (computer software)Metropolitan arealanguage.human_languagepolicentrismo pianificazione strategica sviluppo localeGeographyOrder (exchange)Regional sciencelanguageGeneral Earth and Planetary SciencesOperations managementMultidimensional scalingEmpirical evidenceSicilianGeneral Environmental Science
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Vortex-system ordering during magnetisation measurements in YBa2Cu3O7−δ films at low temperatures

2007

Abstract Zero-field-cooling dc magnetisation relaxation measurements performed on optimally doped epitaxial YBa 2 Cu 3 O 7− δ films with the external magnetic field H oriented parallel to the c -axis reveal the ordering of the creeping vortex-system in the low temperature T domain, due to the macroscopic currents induced in the sample. This dynamic ordering manifests itself through the appearance of a maximum in the T variation of the normalised vortex-creep activation energy. The location of this maximum in the H – T plane describes a well-defined current induced order–disorder line. Our results suggest the absence of a static elastic vortex glass in disordered high-temperature superconduc…

SuperconductivityMaterials scienceCondensed matter physicsRelaxation (NMR)DopingEnergy Engineering and Power TechnologyActivation energyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsMagnetic fieldVortexMagnetizationCondensed Matter::SuperconductivityElectrical and Electronic EngineeringScalingPhysica C: Superconductivity
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Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression

2020

Abstract The stochastic nature of wind poses challenges in the large scale integration of wind energy with the grid. Wind characteristics at a site may significantly vary with time. which will be reflected on the wind power production. Understanding and managing such variations could be challenging for wind farm owners. energy traders and grid operators. In this work. we propose models based on support vector regression (SVR) to downscale the speed and direction of wind at a specific site using both historical observed measurements and numerical weather predictions (NWP). Several meteorological variables. considered to have potential influence on the wind. were used in the feature selection…

Support vector machineHistoryWind powerMeteorologyVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430business.industryEnvironmental sciencebusinessComputer Science ApplicationsEducationDownscaling
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