Search results for "monte carlo"

showing 10 items of 1587 documents

Methodology for assessment of measuring uncertainties of articulated arm coordinates measuring machine

2014

International audience; The Articulated Arm Coordinate Measuring Machines (AACMM) have gradually evolved and are increasingly used in mechanic industry. At present, measurement uncertainties relating to the use of these devices are not yet well-quantified. The work carried out consists on determining the measurement uncertainties of a mechanical part by an Articulated Arm Coordinate Measuring Machine. The studies aiming to develop a model of measurement uncertainties are based on the Monte Carlo method developed in Supplement 1 of the Guide to Expression of Uncertainty in Measurement [1] but also identifying and characterizing the main sources of uncertainty. A Multi-level Monte Carlo appro…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyComputer scienceApplied MathematicsMonte Carlo methodWork (physics)Uncertainty[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Monte Carlo SimulationControl engineering02 engineering and technologyCoordinate-measuring machineArticulated Arm Coordinate Measuring Machine01 natural sciencesExpression (mathematics)[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]010309 optics020901 industrial engineering & automation0103 physical sciences[ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]CalibrationMeasurement uncertaintyPoint (geometry)InstrumentationEngineering (miscellaneous)
researchProduct

Using of a uncertainty model of an polyarticulated coordinates measuring arm to validate the measurement in a manufacturing processsus

2014

International audience; Coordinates Measuring Arms (CMA) are increasingly used to control industrial parts and are often an alternative to CMM controls that require conditions of laboratory measurement and involve significant costs. However, the control of uncertainties is often not guaranteed because the measurement process is complex and there is no standard for setting a framework qualification process of the measurement process.The proposed study, in this paper, is a first approach to model the measurement uncertainties of a CMA with contact sensor. The problem is complex because there are many sources of uncertainty, largely due to variability in the handling carried out by the operato…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyEngineeringMonte Carlo method02 engineering and technologyMetrology01 natural sciences010309 opticsCMA Modelling020901 industrial engineering & automationOperator (computer programming)Control theory0103 physical sciencesCalibration[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]SimulationGeneral Environmental Sciencebusiness.industryProcess (computing)UncertaintyCovarianceMetrology[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]NoiseGeneral Earth and Planetary SciencesbusinessEncoderMonte Carlo Method
researchProduct

The Lateral Trigger Probability function for the Ultra-High Energy Cosmic Ray Showers detected by the Pierre Auger Observatory

2011

In this paper we introduce the concept of Lateral Trigger Probability (LTP) function, i.e., the probability for an Extensive Air Shower (EAS) to trigger an individual detector of a ground based array as a function of distance to the shower axis, taking into account energy, mass and direction of the primary cosmic ray. We apply this concept to the surface array of the Pierre Auger Observatory consisting of a 1.5 km spaced grid of about 1600 water Cherenkov stations. Using Monte Carlo simulations of ultra-high energy showers the LTP functions are derived for energies in the range between 1017 and 1019 eV and zenith angles up to 65. A parametrization combining a step function with an exponenti…

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]AstronomyAstrophysics::High Energy Astrophysical PhenomenaExtensive air showerUltra-high Energy Cosmic RayMonte Carlo methodFOS: Physical sciencesCosmic rayEXTENSIVE AIR-SHOWERSTrigger performance01 natural sciences7. Clean energyUltra-high Energy Cosmic Rays; Pierre Auger Observatory; Extensive air showers; Trigger performance; Surface detector; Hybrid detectorHigh Energy Physics - ExperimentAugerNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciencesUltra-high-energy cosmic ray010303 astronomy & astrophysicsCiencias ExactasZenithCherenkov radiationUltra-High Energy Cosmic RaysPhysicsPierre Auger ObservatoryHigh Energy Astrophysical Phenomena (astro-ph.HE)010308 nuclear & particles physicsPhysicsHybrid detector[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Surface detectorAstrophysics::Instrumentation and Methods for AstrophysicsFísicaAstronomy and AstrophysicsPierre Auger ObservatoryUltra-high Energy Cosmic Rays[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Air showerExperimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearExtensive Air ShowersAstrophysics - High Energy Astrophysical PhenomenaRAIOS CÓSMICOS
researchProduct

Radial electron fluence around ion tracks as a new physical parameter for the detection threshold of PADC using Geant4-DNA toolkit

2018

International audience; The detection threshold of poly(allyl dyglycol carbonate), PADC, for C ions is determined as 55 eV/nm in stopping power, which is significantly higher than that for proton and He ions. The stopping power is not a universal parameter for expressing the detection threshold of PADC. A new physical parameter of Radial Electron Fluence around Ion Tracks, REFIT, is proposed to describe the detection threshold of PADC. It is defined as the number density of electrons passing through the surface of a cylinder of a certain radius that is co-axial with the trajectory. Furthermore, preliminary calculations are presently being performed using the Monte Carlo simulation code of G…

[PHYS]Physics [physics]Detection thresholdRadiationMaterials scienceProtonGeant4-DNAIon trackLatent trackMonte Carlo methodREFIT02 engineering and technologyElectron021001 nanoscience & nanotechnologySecondary electronsPADC030218 nuclear medicine & medical imagingComputational physicsIon03 medical and health sciences0302 clinical medicineStopping power (particle radiation)Impact parameter0210 nano-technologyInstrumentationRadiation Measurements
researchProduct

Calcul des contributions des incertitudes dans un modèle complexe de qualité de l'eau

2010

The quantification of uncertainty in integrated urban drainage water quality models is of paramount interest. Indeed, the assessment of the reliability of the model results for complex water quality models is useful for understanding the significance of the results. However, the state of knowledge regarding uncertainties in urban drainage models is poor. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating sewer system, wastewater treatment plant and receiving water body), the uncertainty produced in one sub-model propagates to the following ones depending on the model structure, the estim…

[SDE.IE]Environmental Sciences/Environmental EngineeringSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia[SDE.IE] Environmental Sciences/Environmental EngineeringMonte Carlo simulation sensitivity analysis uncertainty analysis variance decompositionNetworksRéseaux
researchProduct

Zenith distribution and flux of atmospheric muons measured with the 5-line ANTARES detector

2010

The ANTARES high energy neutrino telescope is a three-dimensional array of about 900 photomultipliers distributed over 12 mooring lines installed in the Mediterranean Sea. Between February and November 2007 it acquired data in a 5-line configuration. The zenith angular distribution of the atmospheric muon flux and the associated depth-intensity relation are measured and compared with previous measurements and Monte Carlo expectations. An evaluation of the systematic effects due to uncertainties on environmental and detector parameters is presented.

[SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]Physics::Instrumentation and DetectorsMonte Carlo methodAtmospheric muonsFluxNeutrino telescope01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)WATER010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)DetectorAstrophysics::Instrumentation and Methods for AstrophysicsCOSMIC-RAY CASCADES NEUTRINO TELESCOPE PERFORMANCE GENERATOR SYSTEM MODULE LIGHT WATER SITESITEMUON FLUXLIGHTddc:540Física nuclearNeutrinoAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Instrumentation and Methods for AstrophysicsMODULEAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayParticle detectorCOSMIC-RAY CASCADESNuclear physics[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]depth-intensity relation0103 physical sciencesatmospheric muons; depth-intensity relation; neutrino telescope14. Life underwaterInstrumentation and Methods for Astrophysics (astro-ph.IM)ZenithRemote sensingatmospheric muonsDepth-intensity relation010308 nuclear & particles physicsneutrino telescopeAstronomy and AstrophysicsCOSMIC RAYSPERFORMANCEGENERATORMeasuring instrumentHigh Energy Physics::ExperimentUNDERWATER DETECTORSYSTEM
researchProduct

Extension de la cartographie des préférences aux plans incomplets

1995

National audience

[SDV] Life Sciences [q-bio]MONTE CARLO[SDV]Life Sciences [q-bio]ComputingMilieux_MISCELLANEOUS
researchProduct

Methodology for estimating the uncertainties of a measurement process using an articulated arm coordinate measuring machine

2014

Pas de résumé en anglais.

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]MesureBras polyarticulé portableUncertaintiesMonte CarloIncertitudes
researchProduct

Propagation des distributions - Détermination des incertitudes par la méthode de Monte Carlo

2013

Le supplément 1 [JCGM 101:2008] du guide pour l'expression des incertitudes de mesure de 2008 complète le GUM (Guide to the expression of uncertainty in measurement) [JCGM 100:2008] en proposant une nouvelle approche pour l'estimation des incertitudes de mesure. Il concerne la propagation des distributions des variables (paramètres) d'entrée à travers un modèle mathématique du processus de mesure. C'est une alternative pratique du GUM lorsque celui-ci n'est pas facilement applicable, par exemple, si la propagation sur la base du développement de Taylor au premier ordre n'est pas satisfaisante (linéarisation du modèle inadéquate) ou si la fonction de densité de probabilité pour la grandeur d…

[STAT.AP]Statistics [stat]/Applications [stat.AP]GUM[ SPI.MECA ] Engineering Sciences [physics]/Mechanics [physics.med-ph][STAT.AP] Statistics [stat]/Applications [stat.AP][STAT.TH] Statistics [stat]/Statistics Theory [stat.TH][ STAT.AP ] Statistics [stat]/Applications [stat.AP][STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Incertitudes de mesure[SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Monte CarloMétrologie
researchProduct

Comparison between simulated and observed LHC beam backgrounds in the ATLAS experiment at E beam =4 TeV

2018

Results of dedicated Monte Carlo simulations of beam-induced background (BIB) in the ATLAS experiment at the Large Hadron Collider (LHC) are presented and compared with data recorded in 2012. During normal physics operation this background arises mainly from scattering of the 4 TeV protons on residual gas in the beam pipe. Methods of reconstructing the BIB signals in the ATLAS detector, developed and implemented in the simulation chain based on the FLUKA Monte Carlo simulation package, are described. The interaction rates are determined from the residual gas pressure distribution in the LHC ring in order to set an absolute scale on the predicted rates of BIB so that they can be compared qua…

background [beam]background: inducedPhysics::Instrumentation and DetectorsCiencias FísicasMonte Carlo method01 natural sciencesHigh Energy Physics - ExperimentSubatomär fysik//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)beam lossesSubatomic Physicsscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]and programsInstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderRadiation calculationsAtlas (topology)Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)DetectorATLAS experimentSettore FIS/01 - Fisica SperimentaleSimulation methods and programBeams (radiation) Accelerator modelling and simulations (multi-particle dynamics;; single-particle dynamics); Radiation calculations; Simulation methods; and programs; DETECTOR; SEARCHObservableAccelerator modelling and simulations (multi-particle dynamicMonte Carlo [numerical calculations]ATLASNuclear & Particles PhysicsAccelerator modelling and simulationsCERN LHC Coll collimators beam: backgroundcolliding beams [p p]numerical calculations: Monte CarloCIENCIAS NATURALES Y EXACTASParticle Physics - Experimentp p: scatteringAccelerator modelling and simulations (multi-particle dynamics; Radiation calculations; Simulation methods and programs; single-particle dynamics); Instrumentation; Mathematical Physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesFísica de Partículas y CamposAccelerator Physics and InstrumentationNuclear physicsFLUKAsingle-particle dynamics)ATLAS LHC High Energy PhysicsHIGH ENERGY PHYSICSSEARCH0103 physical sciencesddc:610010306 general physicsAbsolute scaleDETECTORpressure [gas]Science & Technology010308 nuclear & particles physicsScatteringhep-exRadiation calculationscatteringAcceleratorfysik och instrumentering//purl.org/becyt/ford/1.3 [https]ghostAccelerator modelling and simulations (multi-particle dynamicsSimulation methodscorrelationinduced [background]Experimental High Energy Physicsgas: pressureSimulation methods and programsp p: colliding beamsexperimental results
researchProduct