Search results for "Particle dynamics"

showing 10 items of 32 documents

Application of Tunable-Slip Boundary Conditions in Particle-Based Simulations

2014

Compared to macroscopic systems, fluids on the micro- and nanoscales have a larger surface-to-volume ratio, thus the boundary condition becomes crucial in determining the fluid properties. No-slip boundary condition has been applied successfully to wide ranges of macroscopic phenomena, but its validity in microscopic scale is questionable. A more realistic description is that the flow exhibits slippage at the surface, which can be characterized by a Navier slip length. We present a tunable-slip method by implementing Navier boundary condition in particle-based computer simulations (Dissipative Particle Dynamics as an example). To demonstrate the validity and versatility of our method, we ha…

Physics::Fluid DynamicsInformation retrievalColloidal particleComputer scienceDissipative particle dynamicsSlip (materials science)MechanicsBoundary value problemCouette flowMicroscopic scale
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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A Stochastic Approach to Quantum Statistics Distributions: Theoretical Derivation and Monte Carlo Modelling

2009

Abstract. We present a method aimed at a stochastic derivation of the equilibrium distribution of a classical/quantum ideal gas in the framework of the canonical ensemble. The time evolution of these ideal systems is modelled as a series of transitions from one system microstate to another one and thermal equilibrium is reached via a random walk in the single-particle state space. We look at this dynamic process as a Markov chain satisfying the condition of detailed balance and propose a variant of the Monte Carlo Metropolis algorithm able to take into account indistinguishability of identical quantum particles. Simulations performed on different two-dimensional (2D) systems are revealed to…

Statistics and ProbabilityCanonical ensemblePhysicsclassical Monte Carlo simulations quantum Monte Carlo simulations stochastic particle dynamics (theory)Monte Carlo methodStatistical and Nonlinear PhysicsMarkov chain Monte CarloIdeal gasMicrostate (statistical mechanics)symbols.namesakeThermodynamic limitDynamic Monte Carlo methodsymbolsStatistical physicsStatistics Probability and UncertaintyQuantum statistical mechanics
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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
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Relaxation of Electron Spin during High-Field Transport in GaAs Bulk

2011

A semiclassical Monte Carlo approach is adopted to study the multivalley spin depolarization of drifting electrons in a doped n-type GaAs bulk semiconductor, in a wide range of lattice temperature ($40<T_L<300$ K) and doping density ($10^{13}<n<10^{16}$cm$^{-3}$). The decay of the initial non-equilibrium spin polarization of the conduction electrons is investigated as a function of the amplitude of the driving static electric field, ranging between 0.1 and 6 kV/cm, by considering the spin dynamics of electrons in both the $\Gamma$ and the upper valleys of the semiconductor. Doping density considerably affects spin relaxation at low temperature and weak intensity of the driving electric fiel…

Statistics and ProbabilityMaterials scienceField (physics)FOS: Physical sciencesElectronSettore FIS/03 - Fisica Della MateriaCondensed Matter::Materials ScienceElectric fieldMesoscale and Nanoscale Physics (cond-mat.mes-hall)Spin (physics)Condensed Matter - Statistical MechanicsCondensed matter physicsSpin polarizationStatistical Mechanics (cond-mat.stat-mech)Condensed Matter - Mesoscale and Nanoscale Physicsbusiness.industryDopingRelaxation (NMR)Statistical and Nonlinear Physicsdriven diffusive systems (theory) stochastic particle dynamics (theory) transport processes/heat transfer (theory) Boltzmann equationCondensed Matter::Mesoscopic Systems and Quantum Hall EffectSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)SemiconductorCondensed Matter::Strongly Correlated ElectronsStatistics Probability and Uncertaintybusiness
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Noise-induced resistive switching in a memristor based on ZrO2(Y)/Ta2O5 stack

2019

Resistive switching (RS) is studied in a memristor based on a ZrO2(Y)/Ta2O5 stack under a white Gaussian noise voltage signal. We have found that the memristor switches between the low resistance state and the high resistance state in a random telegraphic signal (RTS) mode. The effective potential profile of the memristor shows from two to three local minima and depends on the input noise parameters and the memristor operation. These observations indicate the multiplicative character of the noise on the dynamical behavior of the memristor, that is the noise perceived by the memristor depends on the state of the system and its electrical properties are influenced by the noise signal. The det…

Statistics and ProbabilityMaterials sciencebusiness.industryNoise inducedStatistical and Nonlinear PhysicsMemristorStochastic particle dynamicslaw.inventionDiffusionStack (abstract data type)lawResistive switchingOptoelectronicsFluctuation phenomenaStatistics Probability and UncertaintyBrownian motionbusiness
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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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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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The problem of analytical calculation of barrier crossing characteristics for Levy flights

2008

By using the backward fractional Fokker-Planck equation we investigate the barrier crossing event in the presence of Levy noise. After shortly review recent results obtained with different approaches on the time characteristics of the barrier crossing, we derive a general differential equation useful to calculate the nonlinear relaxation time. We obtain analytically the nonlinear relaxation time for free Levy flights and a closed expression in quadrature of the same characteristics for cubic potential.

Statistics and ProbabilityPhysicsexact results stochastic particle dynamics (theory)Statistical Mechanics (cond-mat.stat-mech)Differential equationEvent (relativity)Mathematical analysisFOS: Physical sciencesClosed expressionStatistical and Nonlinear PhysicsQuadrature (mathematics)Nonlinear systemLevy noiseExact resultsLévy flightStatistics Probability and UncertaintyCondensed Matter - Statistical Mechanics
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Spectral characteristics of steady-state Lévy flights in confinement potential profiles

2016

The steady-state correlation characteristics of superdiffusion in the form of Levy flights in one-dimensional confinement potential profiles are investigated both theoretically and numerically. Specifically, for Cauchy stable noise we calculate the steady-state probability density function for an infinitely deep rectangular potential well and for a symmetric steep potential well of the type U(x)∞x2m. For these potential profiles and arbitrary Levy index α, we obtain the asymptotic expression of the spectral power density.

Statistics and Probabilityrigorous results in statistical mechanicSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciSteady stateMathematical analysisCauchy distributionstochastic processes (theory)Statistical and Nonlinear PhysicsProbability density functionrigorous results in statistical mechanics; stochastic particle dynamics; stochastic processes (theory); Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and UncertaintyType (model theory)01 natural sciencesNoise (electronics)010305 fluids & plasmasstochastic particle dynamicLévy flight0103 physical sciencesStatistics Probability and Uncertainty010306 general physicsStatistical and Nonlinear PhysicPower densityMathematicsJournal of Statistical Mechanics: Theory and Experiment
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