Search results for " NOISE"

showing 10 items of 659 documents

Hot-electron noise suppression in n-Si via the Hall effect

2008

We investigate how hot-electron fluctuations in n-type Si are affected by the presence of an intense (static) magnetic field in a Hall geometry. By using the Monte Carlo method, we find that the known Hall-effect-induced redistribution of electrons among valleys can suppress electron fluctuations with a simultaneous enhancement of the drift velocity. We investigate how hot-electron fluctuations in n-type Si are affected by the presence of an intense (static) magnetic field in a Hall geometry. By using the Monte Carlo method, we find that the known Hall-effect-induced redistribution of electrons among valleys can suppress electron fluctuations with a simultaneous enhancement of the drift vel…

Statistics and ProbabilityCondensed Matter - Materials ScienceQuantum PhysicsDrift velocityNoise suppressionMaterials scienceCondensed matter physicsMonte Carlo methodMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesStatistical and Nonlinear PhysicsElectronCondensed Matter::Mesoscopic Systems and Quantum Hall EffectMagnetic fieldhot electrons Si noise Hall effectHall effectRedistribution (chemistry)Statistics Probability and UncertaintyQuantum Physics (quant-ph)Hot electron
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Stochastic resonance and noise delayed extinction in a model of two competing species

2003

We study the role of the noise in the dynamics of two competing species. We consider generalized Lotka-Volterra equations in the presence of a multiplicative noise, which models the interaction between the species and the environment. The interaction parameter between the species is a random process which obeys a stochastic differential equation with a generalized bistable potential in the presence of a periodic driving term, which accounts for the environment temperature variation. We find noise-induced periodic oscillations of the species concentrations and stochastic resonance phenomenon. We find also a nonmonotonic behavior of the mean extinction time of one of the two competing species…

Statistics and ProbabilityExtinctionSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)BistabilityStochastic resonanceStochastic processPopulations and Evolution (q-bio.PE)FOS: Physical sciencesStatistical mechanicStatistical and Nonlinear PhysicsPopulation dynamicNoise (electronics)Multiplicative noiseStochastic partial differential equationStochastic differential equationControl theoryFOS: Biological sciencesQuantitative Biology::Populations and EvolutionStatistical physicsNoise-induced effects.Quantitative Biology - Populations and EvolutionCondensed Matter - Statistical MechanicsMathematics
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Introducing libeemd: a program package for performing the ensemble empirical mode decomposition

2016

The ensemble empirical mode decomposition (EEMD) and its complete variant (CEEMDAN) are adaptive, noise-assisted data analysis methods that improve on the ordinary empirical mode decomposition (EMD). All these methods decompose possibly nonlinear and/or nonstationary time series data into a finite amount of components separated by instantaneous frequencies. This decomposition provides a powerful method to look into the different processes behind a given time series data, and provides a way to separate short time-scale events from a general trend. We present a free software implementation of EMD, EEMD and CEEMDAN and give an overview of the EMD methodology and the algorithms used in the deco…

Statistics and ProbabilityFOS: Computer and information sciences010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesExtensibilityStatistics - ComputationHilbert–Huang transformSoftware implementationHilbert–Huang transformSannolikhetsteori och statistikTime seriesProbability Theory and StatisticsComputation (stat.CO)021101 geological & geomatics engineering0105 earth and related environmental sciencescomputer.programming_languagenoise-assisted data analysisintrinsic mode functionPython (programming language)adaptive data analysisComputational MathematicsNonlinear systemtime series analysisData analysisStatistics Probability and UncertaintyAlgorithmcomputerdetrendingHilbert-Huang transform; Intrinsic mode function; Time series analysis; Adaptive data analysis; Noise-assisted data analysis; Detrending
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Rough linear PDE's with discontinuous coefficients - existence of solutions via regularization by fractional Brownian motion

2020

We consider two related linear PDE's perturbed by a fractional Brownian motion. We allow the drift to be discontinuous, in which case the corresponding deterministic equation is ill-posed. However, the noise will be shown to have a regularizing effect on the equations in the sense that we can prove existence of solutions for almost all paths of the fractional Brownian motion.

Statistics and ProbabilityFractional Brownian motion010102 general mathematicsMathematical analysisProbability (math.PR)fractional Brownian motionlocal times01 natural sciencesRegularization (mathematics)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410010104 statistics & probabilityDeterministic equation60H05FOS: Mathematics60H1560J5560H1060G220101 mathematicsStatistics Probability and Uncertaintystochastic PDEsrough pathsregularization by noiseMathematics - ProbabilityMathematics
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Probabilistic characterization of nonlinear systems under α-stable white noise via complex fractional moments

2015

Abstract The probability density function of the response of a nonlinear system under external α -stable Levy white noise is ruled by the so called Fractional Fokker–Planck equation. In such equation the diffusive term is the Riesz fractional derivative of the probability density function of the response. The paper deals with the solution of such equation by using the complex fractional moments. The analysis is performed in terms of probability density for a linear and a non-linear half oscillator forced by Levy white noise with different stability indexes α . Numerical results are reported for a wide range of non-linearity of the mechanical system and stability index of the Levy white nois…

Statistics and ProbabilityFractional Fokker-Planck equationα-stable white noiseMathematical analysisProbabilistic logicStatistical and Nonlinear PhysicsProbability density functionCondensed Matter PhysicWhite noiseComplex fractional momentStability (probability)Fractional calculusMechanical systemNonlinear systemNonlinear systemRange (statistics)Complex fractional moments; Fractional Fokker-Planck equation; Nonlinear systems; α-stable white noise; Condensed Matter Physics; Statistics and ProbabilityMathematicsPhysica A: Statistical Mechanics and its Applications
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Stepping molecular motor amid Lévy white noise

2015

We consider a model of a stepping molecular motor consisting of two connected heads. Directional motion of the stepper takes place along a one-dimensional track. Each head is subject to a periodic potential without spatial reflection symmetry. When the potential for one head is switched on, it is switched off for the other head. Additionally, the system is subject to the influence of symmetric, white Lévy noise that mimics the action of external random forcing. The stepper exhibits motion with a preferred direction which is examined by analyzing the median of the displacement of a midpoint between the positions of the two heads. We study the modified dynamics of the stepper by numerical sim…

Statistics and ProbabilityModels MolecularPhysicsMolecular Motor ProteinsMathematical analysisCondensed Matter PhysicWhite noiseMidpointDisplacement (vector)MotionNoiseReflection symmetryMolecular motorHead (vessel)Computer SimulationStatistical physicsStepperStatistical and Nonlinear Physic
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Noise-induced resonance-like phenomena in InP crystals embedded in fluctuating electric fields

2016

We explore and discuss the complex electron dynamics inside a low-doped n-type InP bulk embedded in a sub-THz electric field, fluctuating for the superimposition of an external source of Gaussian correlated noise. The results presented in this study derive from numerical simulations obtained by means of a multi-valley Monte Carlo approach to simulate the nonlinear transport of electrons inside the semiconductor crystal. The electronic noise characteristics are statistically investigated by calculating the correlation function of the velocity fluctuations, its spectral density and the integrated spectral density, i.e. the total noise power, for different values of both amplitude and frequenc…

Statistics and ProbabilityNoise powerField (physics)02 engineering and technologyElectron01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della MateriaBoltzmann equationsymbols.namesakeCorrelation functionElectric fieldQuantum mechanics0103 physical sciencesstochastic particle dynamics (theory)010306 general physicsfluctuations (theory)Physicstransport properties (theory)Statistical and Nonlinear Physics021001 nanoscience & nanotechnologySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computational physicsAmplitudeGaussian noisesymbolsStatistics Probability and Uncertainty0210 nano-technologyJournal of Statistical Mechanics: Theory and Experiment
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Random walk approach to the analytic solution of random systems with multiplicative noise—The Anderson localization problem

2006

We discuss here in detail a new analytical random walk approach to calculating the phase-diagram for spatially extended systems with multiplicative noise. We use the Anderson localization problem as an example. The transition from delocalized to localized states is treated as a generalized diffusion with a noise-induced first-order phase transition. The generalized diffusion manifests itself in the divergence of averages of wavefunctions (correlators). This divergence is controlled by the Lyapunov exponent $\gamma$, which is the inverse of the localization length, $\xi=1/\gamma$. The appearance of the generalized diffusion arises due to the instability of a fundamental mode corresponding to…

Statistics and ProbabilityPhase transitionAnderson localizationMathematical analysisFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Lyapunov exponentCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsRandom walkMultiplicative noisesymbols.namesakeBounded functionsymbolsDiffusion (business)Divergence (statistics)MathematicsPhysica A: Statistical Mechanics and its Applications
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Zeno dynamics and high-temperature master equations beyond secular approximation

2013

Complete positivity of a class of maps generated by master equations derived beyond the secular approximation is discussed. The connection between such class of evolutions and physical properties of the system is analyzed in depth. It is also shown that under suitable hypotheses a Zeno dynamics can be induced because of the high temperature of the bath.

Statistics and ProbabilityPhysicsClass (set theory)Quantum PhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciDynamics (mechanics)General Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsQuantum NoiseCalculation methodsSettore FIS/03 - Fisica Della MateriaConnection (mathematics)Quantum Zeno effect; Quantum NoiseClassical mechanicsModeling and SimulationMaster equationQuantum Zeno effectZeno's paradoxesQuantum Physics (quant-ph)Mathematical Physics
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Tuning active Brownian motion with shot noise energy pulses

2009

The main aim of this work is to explore the possibility of modeling the biological energy support mediated by absorption of ATP (adenosine triphosphate) as an energetic shot noise. We develop a general model with discrete input of energy pulses and study shot-noise-driven ratchets. We consider these ratchets as prototypes of Brownian motors driven by energy-rich ATP molecules. Our model is a stochastic machine able to acquire energy from the environment and convert it into kinetic energy of motion. We present characteristic features and demonstrate the possibility of tuning these motors by adapting the mean frequency of the discrete energy inputs, which are described as a special shot noise…

Statistics and ProbabilityPhysicsPhysics::Biological PhysicsWork (thermodynamics)driven diffusive systems (theory) stochastic particle dynamics (theory) molecular motors (theory) molecular dynamics BRonian motion Fluctuation phenomenaShot noiseStatistical and Nonlinear PhysicsKinetic energyBrownian motorQuantitative Biology::Subcellular ProcessesClassical mechanicsMolecular motorStatistical physicsStatistics Probability and UncertaintyAbsorption (electromagnetic radiation)Energy (signal processing)Brownian motion
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