Search results for "Monte Carlo method."

showing 10 items of 1217 documents

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
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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
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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
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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
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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
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Comprehensive Strategy for Proton Chemical Shift Prediction: Linear Prediction with Nonlinear Corrections

2014

A fast 3D/4D structure-sensitive procedure was developed and assessed for the chemical shift prediction of protons bonded to sp3carbons, which poses the maybe greatest challenge in the NMR spectral parameter prediction. The LPNC (Linear Prediction with Nonlinear Corrections) approach combines three well-established multivariate methods viz. the principal component regression (PCR), the random forest (RF) algorithm, and the k nearest neighbors (kNN) method. The role of RF is to find nonlinear corrections for the PCR predicted shifts, while kNN is used to take full advantage of similar chemical environments. Two basic molecular models were also compared and discussed: in the MC model the desc…

business.industryComputer scienceGeneral Chemical EngineeringMonte Carlo methodLinear predictionGeneral ChemistryLibrary and Information SciencesMachine learningcomputer.software_genreComputer Science ApplicationsRandom forestk-nearest neighbors algorithmMolecular dynamicsNonlinear systemPrincipal component regressionArtificial intelligenceStatistical physicsbusinessConformational isomerismcomputerta116Journal of Chemical Information and Modeling
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Graphical interface for designing geometries and processing DICOM images for PENELOPE

2016

One of he most difficult steps when preparing a Monte Carlo calculation is the design of their geometries. Such process is an error-prone, time-consuming, and complex step for any simulation in the field of medical physics. The software VoxelMages has been developed to help the user in this complex task. It allows to design arbitrary geometries and to process DICOM image files for simulations with the general-purpose Monte Carlo code PENELOPE. Its main characteristics are described in the following.

business.industryComputer scienceMonte Carlo methodProcess (computing)Field (computer science)030218 nuclear medicine & medical imagingComputational science03 medical and health sciencesDICOMTask (computing)0302 clinical medicineSoftwareMonte carlo code030220 oncology & carcinogenesisComputer graphics (images)businessGraphical user interface2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)
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Dynamic Shakedown Sensitivity Analysis by Means of a Probabilistic Approach

2017

The shakedown limit load multiplier problem for elastic plastic structures subjected to a combination of fixed and seismic loads is treated. In particular, reference is firstly made to the unrestricted dynamic shakedown theory. The relevant seismic load history is modeled as a repeated one and, with reference to classically damped structures, appropriate modal analyses are utilized. With the aim of evaluating the reliability of the results arising from the application of the cited theory, a recent probabilistic approach is also utilized. This approach adopts the Monte Carlo method in order to define the necessary seismic acceleration histories and finally compute the related shakedown limit…

business.industryCumulative distribution functionSeismic loadingMonte Carlo method0211 other engineering and technologiesComputational MechanicsProbabilistic logic02 engineering and technologyBuilding and ConstructionStructural engineeringShakedown020303 mechanical engineering & transportsModal0203 mechanical engineeringMechanics of MaterialsArchitectureLimit loadMultiplier (economics)Safety Risk Reliability and Qualitybusiness021106 design practice & managementCivil and Structural EngineeringMathematicsInternational Review of Civil Engineering (IRECE)
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Monte Carlo dosimetric study of the Flexisource Co-60 high dose rate source.

2011

Purpose: Recently, a new HDR 60 Co brachytherapy source, Flexisource Co-60, has been developed (Nucletron B.V. Veenendaal, The Netherlands). This study aims to obtain dosimetric data for this source for its use in clinical practice as required by AAPM and ESTRO. Material and methods: Two Monte Carlo radiation transport codes were used: Penelope2008 and GEANT4. The source was centrally-positioned in a 100 cm radius water phantom. Absorbed dose and collisional kerma were obtained using 0.01 cm (close) and 0.1 cm (far) sized voxels to provide high-resolution dosimetry near (far from) the source. Dose rate distributions obtained with the two Monte Carlo codes were compared. Results and Discussi…

business.industryFlexisource Co-60Penelope2008medicine.medical_treatmentBrachytherapyMonte Carlo methodbrachytherapyImaging phantomComputational physicsKermaOncologyAbsorbed doseMedicineDosimetryRadiology Nuclear Medicine and imagingOriginal ArticlebusinessDose rateRadiation treatment planningNuclear medicineTG-43GEANT4Journal of contemporary brachytherapy
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TH-C-AUD A-07: Evaluation of the Correction Factor Due to the Lack of Full Scatter Conditions in Cs-137 and Ir-192 Brachytherapy Dosimetric Studies

2008

Purpose: Use of a finite phantom to derive dose rate distributions around brachytherapysources implies a lack of backscattering material near the phantom periphery. Conventional planning algorithms and newly‐developed 3D correction algorithms are based on physics data under full scatter conditions. Presently, most published Monte Carlodosimetric studies have been obtained using either a spherical phantom (15cm in radius) or a cylinder phantom (40×40cm2). The study objective was to derive a simple relationship to correlate the radial dose function, g(r), obtained for each one of these phantoms to that obtained for an unbounded phantom. Method and Materials: Assuming bare point sources of 137…

business.industryMonte Carlo methodGeneral MedicineRadiusImaging phantomComputational physicsKermaOpticsConsistency (statistics)Bounded functionDosimetryCylinderbusinessMathematicsMedical Physics
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