Search results for " modelling"

showing 10 items of 1055 documents

2D simulation of wave-particle coupling inspired by walking droplets

2018

In recent years, a fluid dynamics phenomenon has been observed that shows interesting analogies with several quantum mechanical ones. Under specific experimental conditions, a liquid droplet released on a vibrating liquid persists in jumping, forming a localized wave-particle, and its behaviour resembles that of a de Broglie wave-particle. In this paper we discuss a simplified model for this phenomenon and the results of numerical fluid dynamics simulations implemented on the basis of the model. In spite of the relevant simplifying assumptions of our approach, we observe that a wave-droplet coupling is obtained and the droplet travels at nearly constant velocity, as it is observed in experi…

PhysicsSettore FIS/08 - Didattica E Storia Della FisicaGeneral Physics and AstronomyFluid mechanicsmodelingsimulation01 natural scienceswalking droplet010305 fluids & plasmasfluid dynamicCoupling (physics)Wave–particle dualityClassical mechanics0103 physical sciencesFluid dynamicsTraveling wavephysics education fluid dynamics modelling simulation walking dropletphysics education010306 general physics
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Non-stationary spectral moments of base excited MDOF systems

1988

The paper deals with the evaluation of non-stationary spectral moments of multi-degree-of-freedom (MDOF) line systems subjected to seismic excitations. The spectral moments of the response are evaluated in incremental form solution by means of an unconditionally stable step-by-step procedure. As an application, the statistics of the largest peak of the response are also evaluated.

PhysicsSpectral momentsStochastic modellingExcited stateMathematical analysisMonte Carlo methodLine (geometry)Earth and Planetary Sciences (miscellaneous)LinearityGeotechnical Engineering and Engineering GeologyBase (exponentiation)AlgorithmDynamic load testingEarthquake Engineering & Structural Dynamics
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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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Valence change ReRAMs (VCM) - Experiments and modelling: General discussion

2019

Valence change ReRAMs (VCM) - Experiments and modelling: General discussion

PhysicsValence (chemistry)Settore ING-IND/23 - Chimica Fisica ApplicataCondensed matter physicsUT-Hybrid-DValence change ReRAMs (VCM) Experiments modellingPhysical and Theoretical Chemistry22/4 OA procedure
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Multimodality of rich clusters from the SDSS DR8 within the supercluster-void network

2012

We study the relations between the multimodality of galaxy clusters drawn from the SDSS DR8 and the environment where they reside. As cluster environment we consider the global luminosity density field, supercluster membership, and supercluster morphology. We use 3D normal mixture modelling, the Dressler-Shectman test, and the peculiar velocity of cluster main galaxies as signatures of multimodality of clusters. We calculate the luminosity density field to study the environmental densities around clusters, and to find superclusters where clusters reside. We determine the morphology of superclusters with the Minkowski functionals and compare the properties of clusters in superclusters of dif…

PhysicsVoid (astronomy)Cosmology and Nongalactic Astrophysics (astro-ph.CO)FOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsGalaxySpace and Planetary ScienceSuperclusterCluster (physics)Peculiar velocitySubstructureMixture modellingGalaxy clusterAstrophysics - Cosmology and Nongalactic Astrophysics
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On the measurement of local gas hold-up and interfacial area in gas–liquid contactors via light sheet and image analysis

2010

Abstract Particle image velocimetry techniques coupled with advanced image processing tools are receiving an increasing interest for measuring flow quantities and local bubble-size distributions in gas–liquid contactors. Aim of this work is that of providing a numerical procedure able to reconstruct local gas hold-up and specific interfacial area from images obtained by laser sheet illumination. A correction for measured quantities accounting for laser sheet thickness is proposed and tested by means of Monte Carlo simulations. The algorithms proposed are robust and independent of any measured parameters of the actual bubble size distribution.

PhysicsWork (thermodynamics)Specific interfacial areaMathematical modellingbusiness.industryApplied MathematicsGeneral Chemical EngineeringBubbleFlow (psychology)Monte Carlo methodMultiphase flowImage processingGeneral ChemistryLocal gas hold-upLaserIndustrial and Manufacturing EngineeringImaginglaw.inventionPhysics::Fluid DynamicsOpticsMixingParticle image velocimetrylawMultiphase flowbusinessChemical Engineering Science
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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 measurement of material in the ATLAS tracker using secondary hadronic interactions in 7 TeV pp collisions

2016

Knowledge of the material in the ATLAS inner tracking detector is crucial in understanding the reconstruction of charged-particle tracks, the performance of algorithms that identify jets containing b-hadrons and is also essential to reduce background in searches for exotic particles that can decay within the inner detector volume. Interactions of primary hadrons produced in pp collisions with the material in the inner detector are used to map the location and amount of this material. The hadronic interactions of primary particles may result in secondary vertices, which in this analysis are reconstructed by an inclusive vertex-finding algorithm. Data were collected using minimum-bias trigger…

Physics::Instrumentation and DetectorsCiencias FísicasHadronsecondary [vertex]01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]of photons with matter interaction of hadrons with matter etc)tracking detectorInstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Mathematical PhysicsQCPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Performance of high energy physics detectorsLarge Hadron ColliderAtlas (topology)DetectorSettore FIS/01 - Fisica Sperimentaleexotic [particle]ATLAStrackingprimary [vertex]CERN LHC CollDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Performance of High Energy Physics DetectorsAtlasTellurium compoundsParticle Physics - ExperimentperformanceCIENCIAS NATURALES Y EXACTASParticle physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionFOS: Physical sciencesLHC ATLAS High Energy Physics530MaterialNuclear physics510 Mathematics0103 physical sciencesddc:610High Energy Physics010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicstracks [charged particle]backgroundFísica//purl.org/becyt/ford/1.3 [https]triggerAstronomíaExperimental High Energy PhysicsHigh Energy Physics::Experimenthadron
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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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Formulation predictive dissolution (fPD) testing to advance oral drug product development: an introduction to the US FDA funded ‘21st Century BA/BE’ …

2018

Over the past decade, formulation predictive dissolution (fPD) testing has gained increasing attention. Another mindset is pushed forward where scientists in our field are more confident to explore the in vivo behavior of an oral drug product by performing predictive in vitro dissolution studies. Similarly, there is an increasing interest in the application of modern computational fluid dynamics (CFD) frameworks and high-performance computing platforms to study the local processes underlying absorption within the gastrointestinal (GI) tract. In that way, CFD and computing platforms both can inform future PBPK-based in silico frameworks and determine the GI-motility-driven hydrodynamic impac…

Physiologically based pharmacokinetic modellingBioavailabilityComputer scienceManometryDrug CompoundingAdministration OralPharmaceutical Science02 engineering and technologyBioequivalenceComputational fluid dynamics030226 pharmacology & pharmacyArticleDOSAGE FORMSINDUCED VARIABILITY03 medical and health sciences0302 clinical medicineBIOPHARMACEUTICS CLASSIFICATION-SYSTEMABSORPTIONHumansDissolution testingOral absorptionPharmacology & PharmacyDissolutionIN-VIVO DISSOLUTIONIn vivo dissolutionBioequivalenceScience & TechnologyWORKSHOP REPORTUnited States Food and Drug Administrationbusiness.industryGASTROINTESTINAL SIMULATOR GISVITRO DISSOLUTION021001 nanoscience & nanotechnologyBiopharmaceutics Classification SystemUnited StatesMODELDrug LiberationNew product developmentPredictive powerDIFFUSION-CONTROLLED DISSOLUTIONBiochemical engineering0210 nano-technologybusinessLife Sciences & BiomedicineOral retinoidMRI
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