Search results for " Monte Carlo"

showing 10 items of 400 documents

Characterization of a cylindrical plastic {\beta}-detector with Monte Carlo simulations of optical photons

2017

V. Guadilla et al. -- 5 pags., 8 figs., tab.

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhotonTotal absorption spectroscopyoptical photonsTotal absorption spectroscopyMonte Carlo method[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]7. Clean energy01 natural sciencesElectromagnetic radiationMonte Carlo simulationsOptics0103 physical sciencesPlastic scintillators[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]plastic scintillators010306 general physicsAbsorption (electromagnetic radiation)Nuclear ExperimentInstrumentationPhysicsSpectrometerta114010308 nuclear & particles physicsbusiness.industryDetectortotal absorption spectroscopyComputational physicsOptical photonsDynamic Monte Carlo methodbusiness
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Characterization and performance of the DTAS detector

2018

11 pags., 16 figs., 3 tabs.

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodspektrometritβ decayFOS: Physical sciencesNon-proportional scintillation light yield: Monte Carlo simulationsMonte Carlo simulations [Non-proportional scintillation light yield]y-ray spectrometerB decay[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesMonte Carlo simulationsOpticsDistortion0103 physical sciencesNeutron[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Nuclear Experiment (nucl-ex)010306 general physicsAbsorption (electromagnetic radiation)Nuclear ExperimentInstrumentation[formula omitted] decayNuclear ExperimentPhysicsta114Spectrometer010308 nuclear & particles physicsbusiness.industryNaI(Tl) detectorPulse generatorTotal absorption [formula omitted]-ray spectrometerDetectornon-proportional scintillation light yieldInstrumentation and Detectors (physics.ins-det)Total absorption γ -ray spectrometerNon-proportional scintillation light yieldFísica nuclearTotal absorptionydinfysiikkabusinessDelayed neutronExotic nucleiNuclear instruments & methods inphysics research section A: Accelerators spectrometers detectors and associated equipment 910: 79-89 (2018)
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Active controlled structural systems under delta-correlated random excitation: linear and nonlinear case

2006

Abstract Reduction of structural vibration in active controlled dynamical system is usually performed by means of convenient control forces dependent of the dynamic response. In this paper the existent studies will be extended to dynamical systems subjected to non-Gaussian random process accounting for the time delay involved in the application of active control actions. Control forces acting with time-delay effects will be expanded in Taylor series evaluating response statistics by means of the extended Ito differential rule to consider the effects of the non-normality of the input processes. Numerical application provided shows the feasibility of the proposed method to analyze stochastic …

Numerical AnalysisDynamical systems theoryStochastic processApplied MathematicsMonte Carlo methodStochastic analysisDynamical systemComputational methodNonlinear systemsymbols.namesakeControl theoryModeling and SimulationDynamic Monte Carlo methodTaylor seriessymbolsReduction (mathematics)Mathematics
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Multivariate exponential smoothing: A Bayesian forecast approach based on simulation

2009

This paper deals with the prediction of time series with correlated errors at each time point using a Bayesian forecast approach based on the multivariate Holt-Winters model. Assuming that each of the univariate time series comes from the univariate Holt-Winters model, all of them sharing a common structure, the multivariate Holt-Winters model can be formulated as a traditional multivariate regression model. This formulation facilitates obtaining the posterior distribution of the model parameters, which is not analytically tractable: simulation is needed. An acceptance sampling procedure is used in order to obtain a sample from this posterior distribution. Using Monte Carlo integration the …

Numerical AnalysisMultivariate statisticsGeneral Computer ScienceApplied MathematicsUnivariateMarkov chain Monte CarloTheoretical Computer ScienceNormal-Wishart distributionsymbols.namesakeUnivariate distributionModeling and SimulationStatisticssymbolsMultivariate t-distributionBayesian linear regressionGibbs samplingMathematicsMathematics and Computers in Simulation
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An Ordinal Joint Model for Breast Cancer

2017

We propose a Bayesian joint model to analyze the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a proportional-odds cumulative logit model and the time-to-event process through a left-truncated Cox proportional hazards model with information of the longitudinal marker and baseline covariates. Both longitudinal and survival processes are connected by a common vector of random effects.

Oncologymedicine.medical_specialtyProportional hazards modelComputer scienceBayesian probabilityPosterior probabilityMarkov chain Monte CarloRandom effects modelmedicine.diseasesymbols.namesakeBreast cancerInternal medicineCovariateStatisticsmedicinesymbolsEvent (probability theory)
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An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

Operating costOperations researchComputer sciencebusiness.industryStrategy and ManagementRank (computer programming)Monte Carlo SimulationAnalytic hierarchy processTransportationManagement Monitoring Policy and LawFull service and low cost airlines; Analytic hierarchy process; Operating costs; Monte Carlo SimulationMicroeconomicsRentingRankingLow-cost carrierFull service and low cost airlineAnalytic hierarchy proceBalance sheetRobustness (economics)businessLawOperating cost
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Kinetic Monte Carlo modeling of Y2O3 nano-cluster formation in radiation resistant matrices

2018

This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission.

Ostwald ripeningNuclear and High Energy PhysicsScale (ratio)02 engineering and technology01 natural sciences7. Clean energysymbols.namesake0103 physical sciencesCluster (physics):NATURAL SCIENCES:Physics [Research Subject Categories]Kinetic Monte CarloAutoregressive integrated moving averageLimit (mathematics)InstrumentationOxide dispersion strengthened (ODS) steels010302 applied physicsPhysicsY2O3 nano-clustersOstwald ripeningRadiusKinetic Monte Carlo021001 nanoscience & nanotechnologyComputational physicsCoarseningsymbolsParticle0210 nano-technologyNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Statistical characterization of self-assembled charged nanoparticle structures

2013

We propose a novel approach for description of dynamics of nanostructure formation for a system consisting of oppositely charged particles. The combination of numerical solution of analytical Bogolyubov–Born–Green–Kirkwood–Yvon (BBGKY) type equation set with reverse Monte Carlo (RMC) method allows us to overcome difficulties of standard approaches, such as kinetic Monte Carlo or Molecular Dynamics, to describe effects of long-range Coulomb interactions. Moreover, this allows one to study the system dynamics on realistic time and length scales. We applied this method to a simple short-range Lenard–Jones (LJ)-like three- (3D) and two-dimensional (2D) system combining the long-range Coulomb an…

Ostwald ripeningPhysicsSurfaces and InterfacesReverse Monte CarloCondensed Matter PhysicsCharged particleSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsMolecular dynamicssymbols.namesakeMaterials ChemistrysymbolsCoulombDynamic Monte Carlo methodKinetic Monte CarloStatistical physicsElectrical and Electronic EngineeringMonte Carlo molecular modelingphysica status solidi (a)
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Caracterización y modelización de detectores basados en la tecnología Cristal Continuo/SiPM para escáneres de tomografía por emisión de positrones

2012

El grupo IRIS (Image Reconstruction Instrumentation and Simulations for medical imaging applications) del Instituto de Física Corpuscular (IFIC) ha desarrollado un prototipo de un tomógrafo PET con dos cabezas giratorias basado en cristales continuos acoplados a unos nuevos fotodetectores conocidos como fotomultiplicadores de silicio (SiPM). En un futuro se quiere construir un anillo completo y se está considerando el uso de geometrías alternativas, como la sustitución de los cristales cuboides por cristales trapezoidales con el fin de evitar los huecos entre cristales adyacentes. El uso de estos cristales permitiría mejorar la eficiencia y la calidad de la reconstrucción de la imagen. El o…

PETcristales continuos:FÍSICA [UNESCO]SiPMsimulaciones monte carloUNESCO::FÍSICA
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Radiation model of a TiO2-coated, quartz wool, packed-bed photocatalytic reactor

2010

The radiation field of a packed-bed photocatalytic reactor filled with quartz wool coated with titanium dioxide was modeled using the Monte Carlo technique and the following information: the radiation flux emitted by the lamps, the diameter size distribution of the quartz fiber cloth, the mass of quartz fibers and of TiO2 that was immobilized on the fiber surface as well as the refractive index and the spectral absorption coefficient of the materials of the system. Modeling predictions were validated with radiometer measurements of the transmitted radiation through the reactor, the root mean square error being < 9.7%. Finally, by means of a parametric study, the validated model was used to …

Packed bedSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEnvironmental EngineeringEnergy distributionMaterials scienceRadiation modelpacked-bed reactor photocatalysis radiation modeling quartz wool Monte CarloSettore ING-IND/25 - Impianti ChimiciGeneral Chemical EngineeringMineralogypacked-bed reactorINGENIERÍAS Y TECNOLOGÍASradiation modelingIngeniería QuímicaWoolquartz woolphotocatalysisQuartzBiotechnologyNuclear chemistryAIChE Journal
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