Search results for "Statistical physics"

showing 10 items of 1402 documents

A multidimensional hydrodynamic code for structure evolution in cosmology

1996

A cosmological multidimensional hydrodynamic code is described and tested. This code is based on modern high-resolution shock-capturing techniques. It can make use of a linear or a parabolic cell reconstruction as well as an approximate Riemann solver. The code has been specifically designed for cosmological applications. Two tests including shocks have been considered: the first one is a standard shock tube and the second test involves a spherically symmetric shock. Various additional cosmological tests are also presented. In this way, the performance of the code is proved. The usefulness of the code is discussed; in particular, this powerful tool is expected to be useful in order to study…

Shock wavePhysicsAstrophysics (astro-ph)Structure (category theory)FOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsCosmologyRiemann solverShock (mechanics)symbols.namesakeSpace and Planetary ScienceComponent (UML)symbolsCode (cryptography)Statistical physicsShock tube
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Distribution of Power in The 1960s

1972

Sociology and Political ScienceDistribution (number theory)Political science0502 economics and business05 social sciences050602 political science & public administrationStatistical physics050207 economics0506 political sciencePower (physics)Comparative Political Studies
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Visualization of Parameter Sensitivity of 2D Time-Dependent Flow

2018

In this paper, we present an approach to analyze 1D parameter spaces of time-dependent flow simulation ensembles. By extending the concept of the finite-time Lyapunov exponent to the ensemble domain, i.e., to the parameter that gives rise to the ensemble, we obtain a tool for quantitative analysis of parameter sensitivity both in space and time. We exemplify our approach using 2D synthetic examples and computational fluid dynamics ensembles.

SpacetimeComputer sciencebusiness.industry020207 software engineering02 engineering and technologyLyapunov exponentComputational fluid dynamicsDomain (mathematical analysis)Visualizationsymbols.namesakeFlow (mathematics)0202 electrical engineering electronic engineering information engineeringsymbolsTime dependent flowStatistical physicsSensitivity (control systems)business
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On the Statistical Properties of the Capacity of Spatially Correlated Nakagami-M MIMO Channels

2008

This paper studies the statistical properties of the channel capacity of spatially correlated Nakagami-m multiple- input multiple-output (MIMO) channels. We have derived closed- form expressions for the probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average duration of fades (ADF) of the lower bound on the channel capacity. In order to study the impact of the spatial correlation on the channel capacity, the analysis of the statistical properties of the channel capacity is carried out for different receiver antenna spacings. It is observed that the antenna spacing has a significant influence on the spread and maximum val…

Spatial correlationChannel capacityCumulative distribution functionStatisticsMIMOProbability distributionNakagami distributionProbability density functionFadingStatistical physicsComputer Science::Information TheoryMathematicsVTC Spring 2008 - IEEE Vehicular Technology Conference
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On the statistical properties of the capacity of sparse multipath fading channels

2014

Most existing works in wireless communications assume rich scattering. However, there is growing experimental evidence that physical wireless channels can exhibit a sparse structure. By assuming an asymmetric Doppler power spectral density (PSD), we can model and simulate sparse channels by using a finite sum of weighted complex harmonic functions, also called sum of cisoids (SOC). In this paper, we focus on the analysis of the statistical properties of the instantaneous capacity of sparse SOC-based multipath fading channels under line-of-sight (LOS) conditions. The probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average…

Spatial correlationComputer sciencebusiness.industryCumulative distribution functionElectrical engineeringSpectral densityProbability density functionsymbols.namesakeChannel capacitysymbolsFadingStatistical physicsRayleigh scatteringbusinessMultipath propagationComputer Science::Information Theory2014 International Conference on Advanced Technologies for Communications (ATC 2014)
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Multi-speckle autocorrelation spectroscopy — a new strategy to monitor ultraslow dynamics in dense and nonergodic media

2007

We present a modification of the conventional dynamic light scattering set-up which allows to monitor the intensity fluctuations of many independent spatial Fourier components of the density fluctuations, i.e. “speckles”, simultaneously by using a charge-coupled device (CCD) camera as area detector. By averaging over the intensity autocorrelation function the final 10–20% decay of the intermediate scattering function in very dense colloidal dispersions is obtained with much higher accuracy. At the same time this multi-speckle autocorrelation spectroscopy provides an alternative route for constructing ensemble-averaged intermediate scattering functions in nonergodic media by replacing the av…

Speckle patternsymbols.namesakeFourier transformDynamic light scatteringChemistryOptical autocorrelationScatteringEnsemble averagingAutocorrelationsymbolsAnalytical chemistryStatistical physicsSpectroscopy
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Static and dynamic glass transitions in the 10-state Potts glass: What can Monte Carlo simulations contribute?

2002

The p-state Potts glass with infinite range Gaussian interactions can be solved exactly in the thermodynamic limit and exhibits an unconventional phase behavior if p >4: A dynamical transition from ergodic to non-ergodic behavior at a temperature T D is followed by a first order transition at T 0 < T D, where a glass order parameter appears discontinuously, although the latent heat is zero. If one assumes that a similar scenario occurs for the structural glass transition as well (though with the singular behavior at T D rounded off), the p-state Potts glass should be a good test case to develop methods to deal with finite size effects for the static as well as the dynamic transition, and to…

Spin glassGaussianMonte Carlo methodExtrapolationGeneral Physics and Astronomysymbols.namesakeHardware and ArchitectureThermodynamic limitsymbolsErgodic theoryStatistical physicsGlass transitionMathematicsPotts modelComputer Physics Communications
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Performance potential for simulating spin models on GPU

2012

Graphics processing units (GPUs) are recently being used to an increasing degree for general computational purposes. This development is motivated by their theoretical peak performance, which significantly exceeds that of broadly available CPUs. For practical purposes, however, it is far from clear how much of this theoretical performance can be realized in actual scientific applications. As is discussed here for the case of studying classical spin models of statistical mechanics by Monte Carlo simulations, only an explicit tailoring of the involved algorithms to the specific architecture under consideration allows to harvest the computational power of GPU systems. A number of examples, ran…

Spin glassPhysics and Astronomy (miscellaneous)Computer scienceMonte Carlo methodFOS: Physical sciencesComputational scienceCUDAHigh Energy Physics - LatticeStatistical physicsGraphicsCondensed Matter - Statistical MechanicsNumerical AnalysisStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsHigh Energy Physics - Lattice (hep-lat)RangingStatistical mechanicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Computer Science ApplicationsComputational MathematicsModeling and SimulationIsing modelParallel temperingPhysics - Computational Physics
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The stochastic limit in the analysis of the open BCS model

2004

In this paper we show how the perturbative procedure known as {\em stochastic limit} may be useful in the analysis of the Open BCS model discussed by Buffet and Martin as a spin system interacting with a fermionic reservoir. In particular we show how the same values of the critical temperature and of the order parameters can be found with a significantly simpler approach.

Spin systemFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsBCS modelMathematical Physics (math-ph)FermionCritical valuefermionic operatorsLimit (mathematics)Statistical physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematics
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Non-Equilibrium Markov State Modeling of the Globule-Stretch Transition

2016

We describe a systematic approach to construct coarse-grained Markov state models from molecular dynamics data of systems driven into a nonequilibrium steady state. We apply this method to study the globule-stretch transition of a single tethered model polymer in shear flow. The folding and unfolding rates of the coarse-grained model agree with the original detailed model. We demonstrate that the folding and unfolding proceeds through the same narrow region of configuration space but along different cycles.

State modelQuantitative Biology::Biomolecules010304 chemical physicsMarkov chainStatistical Mechanics (cond-mat.stat-mech)Non-equilibrium thermodynamicsFOS: Physical sciencesState (functional analysis)Folding (DSP implementation)Condensed Matter - Soft Condensed Matter01 natural sciencesCondensed Matter::Soft Condensed MatterMolecular dynamics0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Configuration spaceStatistical physics010306 general physicsShear flowCondensed Matter - Statistical MechanicsMathematics
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