Search results for "Statistical physics"

showing 10 items of 1402 documents

Time-resolved photoabsorption in finite systems: A first-principles NEGF approach

2016

We describe a first-principles NonEquilibrium Green’s Function (NEGF) approach to time-resolved photoabsortion spectroscopy in atomic and nanoscale systems. The method is used to highlight a recently discovered dynamical correlation effect in the spectrum of a Krypton gas subject to a strong ionizing pump pulse. We propose a minimal model that captures the effect, and study the performance of time-local approximations versus time-nonlocal ones. In particular we implement the time-local Hartree-Fock and Markovian second Born (2B) approximation as well as the exact adiabatic approximation within the Time-Dependent Density Functional Theory framework. For the time-nonlocal approximation we ins…

PhysicsHistorySpectrum (functional analysis)Kryptonchemistry.chemical_elementNon-equilibrium thermodynamicsFunction (mathematics)Settore FIS/03 - Fisica della MateriaComputer Science ApplicationsEducationMinimal modelAdiabatic theoremPhysics and Astronomy (all)finite systemsClassical mechanicsphotoabsorptionchemistryDensity functional theoryStatistical physicsSpectroscopyJournal of Physics: Conference Series
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High-precision studies of domain-wall properties in the 2D Gaussian Ising spin glass

2019

In two dimensions, short-range spin glasses order only at zero temperature, where efficient combinatorial optimization techniques can be used to study these systems with high precision. The use of large system sizes and high statistics in disorder averages allows for reliable finite-size extrapolations to the thermodynamic limit. Here, we use a recently introduced mapping of the Ising spin-glass ground-state problem to a minimum-weight perfect matching problem on a sparse auxiliary graph to study square-lattice samples of up to 10 000 × 10 000 spins. We propose a windowing technique that allows to extend this method, that is formally restricted to planar graphs, to the case of systems with …

PhysicsHistorySpin glassSchramm–Loewner evolutionGaussianComputer Science ApplicationsEducationPlanar graphsymbols.namesakeThermodynamic limitsymbolsPeriodic boundary conditionsIsing modelBoundary value problemStatistical physicsJournal of Physics: Conference Series
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Numerical test of finite-size scaling predictions for the droplet condensation-evaporation transition

2016

We numerically study the finite-size droplet condensation-evaporation transition in two dimensions. We consider and compare two orthogonal approaches, namely at fixed temperature and at fixed density, making use of parallel multicanonical simulations. The equivalence between Ising model and lattice gas allows us to compare to analytical predictions. We recover the known background density (at fixed temperature) and transition temperature (at fixed density) in the thermodynamic limit and compare our finite-size deviations to the predicted leading-order finite-size corrections.

PhysicsHistoryStatistical Mechanics (cond-mat.stat-mech)010308 nuclear & particles physicsTransition temperatureFOS: Physical sciencesCondensed Matter - Soft Condensed Matter01 natural sciences010305 fluids & plasmasComputer Science ApplicationsEducationLattice (order)0103 physical sciencesThermodynamic limitSoft Condensed Matter (cond-mat.soft)Ising modelNumerical testsStatistical physicsScalingCondensed Matter - Statistical Mechanics
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Comparing estimators of the galaxy correlation function

1999

We present a systematic comparison of some usual estimators of the 2--point correlation function, some of them currently used in Cosmology, others extensively employed in the field of the statistical analysis of point processes. At small scales, it is known that the correlation function follows reasonably well a power--law expression $\xi(r) \propto r^{-\gamma}$. The accurate determination of the exponent $\gamma$ (the order of the pole) depends on the estimator used for $\xi(r)$; on the other hand, its behavior at large scale gives information on a possible trend to homogeneity. We study the concept, the possible bias, the dependence on random samples and the errors of each estimator. Erro…

PhysicsHomogeneity (statistics)Astrophysics (astro-ph)Order (ring theory)EstimatorFOS: Physical sciencesAstronomy and AstrophysicsScale (descriptive set theory)AstrophysicsCorrelation function (astronomy)AstrophysicsGalaxyPoint processSpace and Planetary ScienceExponentStatistical physics
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Generalization of the Lorenz-Haken model to atomic systems with different relaxation rates for the two laser levels

1995

Abstract The fundamental Lorenz-Haken laser model is generalized to the case of a two-level amplifying medium with different external relaxation rates for the two levels and with internal relaxation. This represents one further degree of freedom, and important quantitative differences in the laser dynamics. i.e., in the stationary solutions, linear stability analysis, and timedependent solutions, are found. No significant qualitative differences, however, are observed.

PhysicsHopf bifurcationbusiness.industryGeneralizationLaserAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materialslaw.inventionsymbols.namesakeOpticsLinear stability analysislawsymbolsRelaxation (physics)Statistical physicsElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessOptics Communications
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Application of the Density Matrix Renormalization Group in momentum space

2001

We investigate the application of the Density Matrix Renormalization Group (DMRG) to the Hubbard model in momentum-space. We treat the one-dimensional models with dispersion relations corresponding to nearest-neighbor hopping and $1/r$ hopping and the two-dimensional model with isotropic nearest-neighbor hopping. By comparing with the exact solutions for both one-dimensional models and with exact diagonalization in two dimensions, we first investigate the convergence of the ground-state energy. We find variational convergence of the energy with the number of states kept for all models and parameter sets. In contrast to the real-space algorithm, the accuracy becomes rapidly worse with increa…

PhysicsHubbard modelStrongly Correlated Electrons (cond-mat.str-el)Density matrix renormalization groupExtrapolationFOS: Physical sciencesPosition and momentum spaceSpinonCondensed Matter - Strongly Correlated ElectronsDistribution functionQuantum electrodynamicsDispersion relationCondensed Matter::Strongly Correlated ElectronsStatistical physicsCurse of dimensionality
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Some necessary background

2005

PhysicsHybrid Monte CarloMonte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsKinetic Monte CarloReverse Monte CarloStatistical physicsImportance samplingMonte Carlo molecular modelingMathematics
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Monte Carlo simulations of the periodically forced autocatalyticA+B→2Breaction

2000

The one-parameter autocatalytic Lotka-like model, which exhibits self-organized oscillations, is considered on a two-dimensional lattice, using Monte Carlo computer simulations. Despite the simplicity of the model, periodic modulation of the only control parameter drives the system through a sequence of frequency locking, quasiperiodic, and resonance behavior.

PhysicsHybrid Monte CarloMonte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsStatistical physicsParallel temperingKinetic Monte CarloDirect simulation Monte CarloMonte Carlo molecular modelingPhysical Review E
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Comparison of Monte Carlo simulation and direct multistep scattering theory in (e,e′p) nuclear reactions

1999

Abstract Two methods to deal with final state interactions in (e,e′p) reactions in nuclei are compared. One of them uses a Monte Carlo semiclassical approach while the other uses a statistical quantum mechanical approach. The comparison serves to give support to both approaches, showing at the same time their limitations.

PhysicsHybrid Monte CarloNuclear and High Energy PhysicsQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsStatistical physicsScattering theoryKinetic Monte CarloMonte Carlo molecular modelingNuclear Physics A
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Monte Carlo Simulations of Spin Systems

1996

This chapter gives a brief introduction to Monte Carlo simulations of classical O(n) spin systems such as the Ising (n = 1), XY (n = 2), and Heisenberg (n = 3) models. In the first part I discuss some aspects of the use of Monte Carlo algorithms to generate the raw data. Here special emphasis is placed on nonlocal cluster update algorithms which proved to be most efficient for this class of models. The second part is devoted to the data analysis at a continuous phase transition. For the example of the three-dimensional Heisenberg model it is shown how precise estimates of the transition temperature and the critical exponents can be extracted from the raw data. I conclude with a brief overvi…

PhysicsHybrid Monte CarloQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodIsing modelMonte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloMonte Carlo molecular modeling
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