Search results for "Monte Carlo method"

showing 10 items of 1234 documents

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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Optimization of the straightness measurements on rough surfaces by Monte Carlo simulation

2013

Summary The straightness error of a coordinate measuring machine (CMM) is determined by measuring a rule standard. Thanks to a reversal technique, the straightness uncertainty of the CMM is theoretically dissociated from the straightness uncertainty of the rule. However, stochastic variations of the whole measurement system involve uncertainties of the CMM straightness error. To quantify these uncertainties, different sources of stochastic variations are listed with their associated probability density functions. Then Monte Carlo methods are performed first to quantify error and secondly to optimize measurement protocol. It is shown that a 5-measurement distance from 0.1 mm to each measurem…

business.industrySystem of measurementMonte Carlo methodAutocorrelationProbability density functionSurface finishCoordinate-measuring machineAtomic and Molecular Physics and OpticsOpticsSurface roughnessReduction (mathematics)businessInstrumentationAlgorithmMathematicsScanning
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Monte Carlo dosimetric study of Best Industries and Alpha Omega Ir-192 brachytherapy seeds

2004

Ir-192 seeds are widely used in the USA for low dose rate interstitial brachytherapy. There are two commercially available models: those manufactured by Best Industries filtered with stainless steel, and those manufactured by Alpha-Omega seeds filtered with Pt. Newly developed 3D correction algorithms for brachytherapy are based on dosimetry data obtained on unbounded phantom size, allowing corrections for heterogeneities and actual tissue boundaries. Published dosimetric datasets for both seeds have been obtained under bounded conditions. The aim of the present study is to obtain dosimetric datasets for these seeds under full scatter conditions. The Monte Carlo GEANT4 code has been used to…

business.industrymedicine.medical_treatmentMonte Carlo methodBrachytherapyGeneral MedicineOmegaImaging phantomComputational physicsKermamedicineDosimetryAnisotropyNuclear medicinebusinessImage resolutionMathematicsMedical Physics
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On the Glass Transition in Polymer Films: Recent Monte Carlo Results

1998

AbstractThis paper reports results of a Monte Carlo simulation for a simplified lattice modelof a supercooled polymer film. The film geometry is realized by two opposite hard walls.The distance between the walls is varied. The chains exhibit a strong tendency to orientparallel to the walls and are flattened when being very close to them. This deviation of thepolymer structure with respect to the bulk is accompanied by an acceleration of local densityfluctuations. On the other hand, the diffusion coefficient of a chain remains unaffected.

chemistry.chemical_classificationAccelerationMaterials sciencechemistryCondensed matter physicsLattice (order)Monte Carlo methodPolymerDiffusion (business)Glass transitionSupercoolingMRS Proceedings
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Bulk and interfacial properties in colloid-polymer mixtures

2005

Large-scale Monte Carlo simulations of a phase-separating colloid-polymer mixture are performed and compared to recent experiments. The approach is based on effective interaction potentials in which the central monomers of self-avoiding polymer chains are used as effective coordinates. By incorporating polymer nonideality together with soft colloid-polymer repulsion, the predicted binodal is in excellent agreement with recent experiments. In addition, the interfacial tension as well as the capillary length are in quantitative agreement with experimental results obtained at a number of points in the phase-coexistence region, without the use of any fit parameters.

chemistry.chemical_classificationBinodalMaterials scienceMonte Carlo methodThermodynamicsPolymerCondensed Matter::Soft Condensed MatterSurface tensionchemistry.chemical_compoundColloidMonomerCapillary lengthchemistryStatistical physicsPhysical Review E
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