Search results for "stochastic model"

showing 10 items of 109 documents

GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences

2018

The LIGO Scientific and Virgo Collaborations have announced the first detection of gravitational waves from the coalescence of two neutron stars. The merger rate of binary neutron stars estimated from this event suggests that distant, unresolvable binary neutron stars create a significant astrophysical stochastic gravitational-wave background. The binary neutron star background will add to the background from binary black holes, increasing the amplitude of the total astrophysical background relative to previous expectations. In the Advanced LIGO-Virgo frequency band most sensitive to stochastic backgrounds (near 25 Hz), we predict a total astrophysical background with amplitude $\Omega_{\rm…

Design sensitivityneutron star: binarygravitational radiation: stochasticAstronomyX-ray binaryGeneral Physics and AstronomyAstrophysicsAstrophysics01 natural sciencesGeneral Relativity and Quantum CosmologylocalizationGravitational wave backgroundGravitational Waves Neutron Stars Stochastic Background Virgo LIGOblack holeLIGOstochastic modelQCQBPhysicsGAMMA-RAY BURSTSSignal to noise ratioStochastic systemsBlack holesGravitational effectsarticleAstrophysics::Instrumentation and Methods for AstrophysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSING[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Gravitational wave sources Experimental studies of gravity Gravitational WavesGravitationBinary neutron starsX-ray bursterBinsAstrophysics::High Energy Astrophysical PhenomenaMERGERSFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic AstrophysicsGravity wavesgravitational radiation: direct detectionBinary pulsarNeutron starsSTAR-FORMATIONPhysics and Astronomy (all)General Relativity and Quantum CosmologyBinary black holebinary: coalescence0103 physical sciencesFrequency bandsddc:530RATESINTERFEROMETERS010306 general physicsAstrophysics::Galaxy AstrophysicsNeutronsGravitational Waves010308 nuclear & particles physicsGravitational waveVirgogravitational radiation: backgroundgravitational radiationAstronomyNeutron Stars530 Physikbinary: compactsensitivityStarsLIGObackground: stochasticEVOLUTIONsignal noise ratioVIRGOPhysics and Astronomyblack hole: binarygravitational radiation: emissionStellar black holeStochastic BackgroundDewey Decimal Classification::500 | Naturwissenschaften::530 | PhysikHIGH-REDSHIFTneutron star: coalescencePhysical Review Letters
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The Multiscale Stochastic Model of Fractional Hereditary Materials (FHM)

2013

Abstract In a recent paper the authors proposed a mechanical model corresponding, exactly, to fractional hereditary materials (FHM). Fractional derivation index 13 E [0,1/2] corresponds to a mechanical model composed by a column of massless newtonian fluid resting on a bed of independent linear springs. Fractional derivation index 13 E [1/2, 1], corresponds, instead, to a mechanical model constituted by massless, shear-type elastic column resting on a bed of linear independent dashpots. The real-order of derivation is related to the exponent of the power-law decay of mechanical characteristics. In this paper the authors aim to introduce a multiscale fractance description of FHM in presence …

Multiscale FractanceRandom modelsStochastic modellingMathematical analysisModel parametersGeneral MedicineFractional HereditarinessDashpotFractional calculusMassless particleFractional DerivativesFractional Derivatives; Fractional Hereditariness; Multiscale Fractance; Random modelsFractional HereditarineCalculusExponentNewtonian fluidLinear independenceFractional DerivativeMathematicsProcedia IUTAM
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SIMULATING DEMOGRAPHY AND HUMAN DEVELOPMENT DYNAMICS

2014

[EN] A deterministic/stochastic model in which the demographic and the well-being subsystems of a country are involved and related is presented as a way to approach human development. The demographic subsystem is a side-by-side, single-gender, age-structured population dynamic model. The well-being subsystem states the dynamics of the United Nations Hybrid Human Development Index. The model has been validated in the case of Spain and Belgium. Some simulations have been performed with the model for the case of Spain in the 2009-2020 period to determine strategies and scenarios that could increase the life expectancy at birth per gender. Copyright © 2014 Taylor & Francis Group, LLC.

Governanceeducation.field_of_studyPopulation statisticsStochastic modellingPopulationHybrid Human Development IndexComputer simulationPopulation statisticsDeterministic modelsHuman development (humanity)Human population dynamicsStochastic modelsStochastic modelGeographyArtificial IntelligenceLife expectancyHuman Development IndexMATEMATICA APLICADAeducationHuman population dynamicsSimulationSoftwareInformation SystemsDemographyCybernetics and Systems
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Classifying efficient alternatives in SMAA using cross confidence factors

2006

Abstract Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative; the central weight vectors represent the typical preferences favouring each alternative; and the confidence factors measure whether the criteria data are suff…

Measure (data warehouse)Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic modellingbusiness.industryLow ConfidenceRank (computer programming)Management Science and Operations ResearchMachine learningcomputer.software_genreIndustrial and Manufacturing EngineeringVariety (cybernetics)Group decision-makingModeling and SimulationData envelopment analysisArtificial intelligencebusinesscomputerMathematicsEuropean Journal of Operational Research
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Stochastic Kinetics with Wave Nature

2003

We consider stochastic second-order partial differential equations. We indroduce a noisy non-linear wave equation and discuss its connections, in particular via the Lorentz transformation, with known stochastic models.

PhysicsStochastic partial differential equationContinuous-time stochastic processStochastic differential equationQuantum stochastic calculusStochastic modellingDifferential equationFirst-order partial differential equationStatistical and Nonlinear PhysicsStatistical physicsPhysics::Classical PhysicsCondensed Matter PhysicsHyperbolic partial differential equationModern Physics Letters B
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Landslides susceptibility stochastic modelling under earthquakes and rainfalls triggering: applications to 2001 earthquakes (13th January and 13th Fe…

2022

landslidepioggiaseismic triggerfraneHurricane IdaSettore GEO/04 - Geografia Fisica E GeomorfologiarainfallMARSCentral AmericaUragano Ida trigger sismicosuscettibilità da franaearthquaketerremotoEl Salvadormodello stocasticoCentro Americalandslide susceptibilitystochastic model
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Stochastic description of traffic breakdown

2003

We present a comparison of nucleation in an isothermal-isochoric container with traffic congestion on a one-lane freeway. The analysis is based, in both cases, on the probabilistic description by stochastic master equations. Further we analyze the characteristic features of traffic breakdowns. To describe this phenomenon we apply the stochastic model regarding the jam emergence to the formation of a large car cluster on the highway.

Physics::Physics and SocietyMathematical optimizationEngineeringTraffic congestion reconstruction with Kerner's three-phase theoryStochastic modellingbusiness.industryTraffic flowTraffic congestionMaster equationContainer (abstract data type)Three-phase traffic theorybusinessTraffic generation modelSimulationSPIE Proceedings
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Stochastic models for heterogeneous relaxation: Application to inhomogeneous optical lineshapes

2001

Dynamic heterogeneity has often been modeled by assuming that a single-particle observable, fluctuating at a molecular scale, is influenced by its coupling to environmental variables fluctuating on a second, perhaps slower, time scale. Starting from the most simple Gaussian Markov process we model the exchange between 'slow' and 'fast' environments by treating the fluctuating single-particle variable as a projection from a higher-dimensional Markov process. The moments of the resulting stochastic process are calculated from the corresponding Master equations or Langevin equations, depending on the model. The calculations show the importance of the way to treat exchange processes. The result…

PhysicsScale (ratio)Stochastic processStochastic modellingGaussianCondensed Matter (cond-mat)Markov processFOS: Physical sciencesCondensed MatterCondensed Matter PhysicsProjection (linear algebra)Electronic Optical and Magnetic Materialssymbols.namesakeMaster equationMaterials ChemistryCeramics and CompositessymbolsStatistical physicsRelaxation (approximation)
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Gain-scheduled H-infinity observer design for nonlinear stochastic systems with time-delay and actuator saturation

2012

In this paper, we propose a method for designing continuous gain-scheduled robust H ∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H ∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonline…

Nonlinear systemH-infinity methods in control theoryObserver (quantum physics)Stochastic modellingLinearizationControl theoryLinear systemInitial value problemRobust controlMathematics2012 American Control Conference (ACC)
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Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background

2018

The detection of gravitational waves with Advanced LIGO and Advanced Virgo has enabled novel tests of general relativity, including direct study of the polarization of gravitational waves. While general relativity allows for only two tensor gravitational-wave polarizations, general metric theories can additionally predict two vector and two scalar polarizations. The polarization of gravitational waves is encoded in the spectral shape of the stochastic gravitational-wave background, formed by the superposition of cosmological and individually-unresolved astrophysical sources. Using data recorded by Advanced LIGO during its first observing run, we search for a stochastic background of generic…

AstronomyTestingdetectionGeneral Physics and AstronomyEFFICIENTTESTING RELATIVISTIC GRAVITYTensorsSpectral shapes01 natural sciencesGeneral Relativity and Quantum CosmologyGravitational wave backgroundEnergy densityTOOLQCComputingMilieux_MISCELLANEOUSstochastic modelMathematical physicsQBPhysics[PHYS]Physics [physics]Stochastic systemsGravitational effectsarticleVectorsPolarization (waves)gravitational wavesastro-ph.CO[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - Cosmology and Nongalactic AstrophysicsGeneral RelativityCosmology and Nongalactic Astrophysics (astro-ph.CO)General relativitygr-qcFOS: Physical sciencesexperimental studies of gravityGeneral Relativity and Quantum Cosmology (gr-qc)Gravity wavesRelativityReference frequencyPhysics and Astronomy (all)General Relativity and Quantum CosmologyTheory of relativityScalar modesTests of general relativity0103 physical sciencesAdvanced LIGOddc:530Tensor010306 general physicsSTFCGravitational Wavespolarization010308 nuclear & particles physicsGravitational waveRCUKAstrophysical sourcesLIGOPhysics and AstronomygravitationRADIATIONStochastic BackgroundDewey Decimal Classification::500 | Naturwissenschaften::530 | Physik[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]cosmologyGravitational Waves Stochastic Background Advanced LIGO
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