Search results for "statistical [methods]"

showing 10 items of 1664 documents

Critical and tricritical singularities of the three-dimensional random-bond Potts model for large $q$

2005

We study the effect of varying strength, $\delta$, of bond randomness on the phase transition of the three-dimensional Potts model for large $q$. The cooperative behavior of the system is determined by large correlated domains in which the spins points into the same direction. These domains have a finite extent in the disordered phase. In the ordered phase there is a percolating cluster of correlated spins. For a sufficiently large disorder $\delta>\delta_t$ this percolating cluster coexists with a percolating cluster of non-correlated spins. Such a co-existence is only possible in more than two dimensions. We argue and check numerically that $\delta_t$ is the tricritical disorder, which se…

Phase transitionCondensed matter physicsSpinsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Disordered Systems and Neural NetworksPhase (matter)Cluster (physics)Gravitational singularityCritical exponentRandomnessCondensed Matter - Statistical MechanicsPotts modelMathematics
researchProduct

Monte Carlo study of the ising model phase transition in terms of the percolation transition of “physical clusters”

1990

Finite squareL×L Ising lattices with ferromagnetic nearest neighbor interaction are simulated using the Swendsen-Wang cluster algorithm. Both thermal properties (internal energyU, specific heatC, magnetization 〈|M|〉, susceptibilityχ) and percolation cluster properties relating to the “physical clusters,” namely the Fortuin-Kasteleyn clusters (percolation probability 〈P∞〉, percolation susceptibilityχp, cluster size distributionnl) are evaluated, paying particular attention to finite-size effects. It is shown that thermal properties can be expressed entirely in terms of cluster properties, 〈P∞〉 being identical to 〈|M|〉 in the thermodynamic limit, while finite-size corrections differ. In contr…

Phase transitionCondensed matter physicsSwendsen–Wang algorithmMonte Carlo methodStatistical and Nonlinear PhysicsCorrelation function (statistical mechanics)PercolationThermodynamic limitCondensed Matter::Statistical MechanicsCluster (physics)Ising modelStatistical physicsMathematical PhysicsMathematicsJournal of Statistical Physics
researchProduct

Two-state protein-like folding of a homopolymer chain

2010

Many small proteins fold via a first-order "all-or-none" transition directly from an expanded coil to a compact native state. Here we study an analogous direct freezing transition from an expanded coil to a compact crystallite for a simple flexible homopolymer. Wang-Landau sampling is used to construct the 1D density of states for square-well chains of length 128. Analysis within both the micro-canonical and canonical ensembles shows that, for a chain with sufficiently short-range interactions, the usual polymer collapse transition is preempted by a direct freezing or "folding" transition. A 2D free-energy landscape, built via subsequent multi-canonical sampling, reveals a dominant folding …

Phase transitionMaterials scienceEnergy landscapeFOS: Physical sciencesThermodynamicsPhi value analysis02 engineering and technologyPhysics and Astronomy(all)Condensed Matter - Soft Condensed MatterMicrocanonical thermodynamics01 natural sciences0103 physical sciencesFolding funnelProtein folding010306 general physicsCondensed Matter - Statistical MechanicsPhase transitionQuantitative Biology::BiomoleculesStatistical Mechanics (cond-mat.stat-mech)Energy landscape021001 nanoscience & nanotechnologyContact orderChevron plotWang-LandauSoft Condensed Matter (cond-mat.soft)Protein foldingDownhill folding0210 nano-technologyPhysics Procedia
researchProduct

Capillary condensation in cylindrical pores: Monte Carlo study of the interplay of surface and finite size effects.

2010

When a fluid that undergoes a vapor to liquid transition in the bulk is confined to a long cylindrical pore, the phase transition is shifted (mostly due to surface effects at the walls of the pore) and rounded (due to finite size effects). The nature of the phase coexistence at the transition depends on the length of the pore: For very long pores the system is axially homogeneous at low temperatures. At the chemical potential where the transition takes place fluctuations occur between vapor-like and liquid-like states of the cylinder as a whole. At somewhat higher temperatures (but still far below bulk criticality) the system at phase coexistence is in an axially inhomogeneous multi-domain …

Phase transitionMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsCapillary condensationMonte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyAdsorptionLattice (order)CylinderIsing modelPhysical and Theoretical ChemistryAxial symmetryCondensed Matter - Statistical MechanicsThe Journal of chemical physics
researchProduct

Generalized-ensemble simulations and cluster algorithms

2010

The importance-sampling Monte Carlo algorithm appears to be the universally optimal solution to the problem of sampling the state space of statistical mechanical systems according to the relative importance of configurations for the partition function or thermal averages of interest. While this is true in terms of its simplicity and universal applicability, the resulting approach suffers from the presence of temporal correlations of successive samples naturally implied by the Markov chain underlying the importance-sampling simulation. In many situations, these autocorrelations are moderate and can be easily accounted for by an appropriately adapted analysis of simulation data. They turn out…

Phase transitionPartition function (statistical mechanics)Statistical Mechanics (cond-mat.stat-mech)Markov chainComputer scienceErgodicityFOS: Physical sciencesPhysics and Astronomy(all)Cluster (physics)State spaceAlgorithmCondensed Matter - Statistical MechanicsMonte Carlo algorithmPotts modelPhysics Procedia
researchProduct

Crystal nuclei in melts: A Monte Carlo simulation of a model for attractive colloids

2015

As a model for a suspension of hard-sphere like colloidal particles where small nonadsorbing dissolved polymers create a depletion attraction, we introduce an effective colloid-colloid potential closely related to the Asakura-Oosawa model but that does not have any discontinuities. In simulations, this model straightforwardly allows the calculation of the pressure from the Virial formula, and the phase transition in the bulk from the liquid to crystalline solid can be accurately located from a study where a stable coexistence of a crystalline slab with a surrounding liquid phase occurs. For this model, crystalline nuclei surrounded by fluid are studied both by identifying the crystal-fluid …

Phase transitionRange (particle radiation)Materials scienceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodBiophysicsFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsVirial theoremCrystalCondensed Matter::Soft Condensed MatterChemical physicsParticleSoft Condensed Matter (cond-mat.soft)Classical nucleation theoryPhysical and Theoretical ChemistryAnisotropyMolecular BiologyCondensed Matter - Statistical Mechanics
researchProduct

Quantum Critical Scaling under Periodic Driving

2016

Universality is key to the theory of phase transition stating that the equilibrium properties of observables near a phase transition can be classified according to few critical exponents. These exponents rule an universal scaling behaviour that witnesses the irrelevance of the model's microscopic details at criticality. Here we discuss the persistence of such a scaling in a one-dimensional quantum Ising model under sinusoidal modulation in time of its transverse magnetic field. We show that scaling of various quantities (concurrence, entanglement entropy, magnetic and fidelity susceptibility) endures up to a stroboscopic time $\tau_{bd}$, proportional to the size of the system. This behavio…

Phase transitionScienceFOS: Physical sciencesmagnetic fieldQuantum entanglement01 natural sciencesArticle010305 fluids & plasmas0103 physical sciencesEntropy (information theory)humanStatistical physics010306 general physicsScalingQuantumCondensed Matter - Statistical MechanicsPhysicsQuantum PhysicsmodelMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)behaviorQRMultidisciplinary critical processes quantum phase transitionsObservablemodulationMedicineIsing modelQuantum Physics (quant-ph)entropyCritical exponentScientific Reports
researchProduct

Classification theory for anequilibrium phase transitions

1993

The paper introduces a classification of phase transitions in which each transition is characterized through its generalized order and a slowly varying function. This characterization is shown to be applicable in statistical mechanics as well as in thermodynamics albeit for different mathematical reasons. By introducing the block ensemble limit the statistical classification is based on the theory of stable laws from probability theory. The block ensemble limit combines scaling limit and thermodynamic limit. The thermodynamic classification on the other hand is based on generalizing Ehrenfest's traditional classification scheme. Both schemes imply the validity of scaling at phase transition…

Phase transitionStatistical classificationScaling limitProbability theoryThermodynamic limitStatistical mechanicsLimit (mathematics)Statistical physicsSlowly varying functionMathematicsPhysical Review E
researchProduct

Chapter III Phase transitions at surfaces

1995

Abstract The statistical mechanics of phase transitions is briefly reviewed, with an emphasis on surfaces. Flat surfaces of crystals may act as a substrate for adsorption of two-dimensional (d=2) monolayers and multilayers, offering thus the possibility to study phase transitions in restricted dimensionality. Critical phenomena for special universality classes can thus be investigated which have no counterpart in d=3. Also phase transitions can occur that are in a sense “in between” different dimensionalities (e.g., multilayer adsorption and wetting phenomena are transitions in between two and three dimensions, while adsorption of monolayers on stepped surfaces allows phenomena in between o…

Phase transitionsymbols.namesakeGibbs isothermCondensed matter physicsChemistryCritical phenomenasymbolsStatistical mechanicsWettingSuperfluid filmInterfacial PhenomenonUniversality (dynamical systems)
researchProduct

Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
researchProduct