Search results for "Monte Carlo method."

showing 10 items of 1217 documents

VoxelMages: a general-purpose graphical interface for designing geometries and processing DICOM images for PENELOPE

2016

The design and construction of geometries for Monte Carlo calculations is an error-prone, time-consuming, and complex step in simulations describing particle interactions and transport in the field of medical physics. The software VoxelMages has been developed to help the user in this task. It allows to design complex geometries and to process DICOM image files for simulations with the general-purpose Monte Carlo code PENELOPE in an easy and straightforward way. VoxelMages also allows to import DICOM-RT structure contour information as delivered by a treatment planning system. Its main characteristics, usage and performance benchmarking are described in detail.

Structure (mathematical logic)RadiationTheoretical computer sciencebusiness.industryComputer scienceMonte Carlo methodProcess (computing)BenchmarkingField (computer science)030218 nuclear medicine & medical imaging03 medical and health sciencesDICOM0302 clinical medicineSoftware030220 oncology & carcinogenesisComputer graphics (images)businessGraphical user interfaceApplied Radiation and Isotopes
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Evaluation of the displacement energy of Gd atoms in GdBa2Cu3O7−δ from experimental data

1994

Abstract The processing of experimental data on Gd-containing high-temperature superconductor degradation resulting from thermal neutron irradiation has made it possible to evaluate the ratio of the degradation rates of GdBa2Cu3O7−gd enriched with 155Gd and 157Gd isotopes respectively. The defect production in the compound due to (n, γ) reactions on Gd nuclei and consequent recoil of Gd nuclei emitting γ-quanta was simulated with experimentally determined γ-spectra by a Monte Carlo technique. The displacement probabilities pd(155) and pd(157) for different threshold energies Ed and the threshold energy of Gd atom displacement producing disordered bubbles in GdBa2Cu3O7−δ, E d ∗ ≈ 150 eV , we…

SuperconductivityNuclear and High Energy PhysicsRecoilIsotopeChemistryMonte Carlo methodAtomIrradiationAtomic physicsNuclear ExperimentThreshold energyInstrumentationNeutron temperatureNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Quantum Monte Carlo Simulations of Models Related to High-Tc Superconductivity on a Transputer Network

1991

Much of the insight into the low temperature behaviour of two-dimensional quantum antiferromagnets has been recently obtained by extensive Monte Carlo. These models are relevant in the study of the magnetic behaviour of high Tc compounds containing copper-oxide layers. While of little technical importance, the physical properties of these models are certainly important for the understanding of the new type of behaviour that leads to superconductivity under certain conditions.

SuperconductivityPhysicsQuantum Monte CarloMonte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsComputer Science ApplicationsComputational Theory and MathematicsDynamic Monte Carlo methodHigh tc superconductivityStatistical physicsQuantumMathematical PhysicsMonte Carlo molecular modelingTransputer networkInternational Journal of Modern Physics C
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Structure and pair correlations of a simple coarse grained model for supercritical carbon dioxide

2009

A recently introduced coarse-grained pair potential for carbon dioxide molecules is used to compute structural properties in the supercritical region near the critical point, applying Monte Carlo simulations. In this model, molecules are described as point particles, interacting with Lennard-Jones (LJ) forces and a (isotropically averaged) quadrupole–quadrupole potential, the LJ parameters being chosen such that gratifying agreement with the experimental phase diagram near the critical point is obtained. It is shown that the model gives also a reasonable account of the pair correlation function, although in the nearest neighbour shell some systematic discrepancies between the model predicti…

Supercritical carbon dioxideChemistryMonte Carlo methodBiophysicsThermodynamicsCondensed Matter PhysicsRadial distribution functionSupercritical fluidCritical point (thermodynamics)MoleculeStatistical physicsPhysical and Theoretical ChemistryMolecular BiologyPair potentialPhase diagramMolecular Physics
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Stochastic model for complex surface-reaction systems with application toNH3formation

1993

A stochastic model is introduced that is appropriate to describe surface-reaction systems. These reaction systems are well suited for the description via master equations using their Markovian behavior. In this representation an infinite chain of master equations for the distribution functions of the state of the surface, of pairs of surface sites, etc., arises. This hierarchy is truncated by a superposition approximation. The resulting lattice equations are solved in a small region which contains all of the structure-sensitive aspects and can be connected to continuous functions which represent the behavior of the system for large distances from a reference point. In the present paper, we …

Superposition principleContinuous-time stochastic processDistribution functionStochastic modellingLattice (order)Monte Carlo methodMaster equationDynamic Monte Carlo methodStatistical physicsMathematicsPhysical Review E
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Island Diffusion on Metal fcc (100) Surfaces

1999

We present Monte Carlo simulations for the size and temperature dependence of the diffusion coefficient of adatom islands on the Cu(100) surface. We show that the scaling exponent for the size dependence is not a constant but a decreasing function of the island size and approaches unity for very large islands. This is due to a crossover from periphery dominated mass transport to a regime where vacancies diffuse inside the island. The effective scaling exponents are in good agreement with theory and experiments.

Surface (mathematics)Condensed Matter - Materials ScienceMaterials scienceCondensed matter physicsPhysicsCrossoverMonte Carlo methodMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and Astronomyfcc(100) surfaceFunction (mathematics)Monte Carlo simulationsadatomAlisland diffusionExponentDiffusion (business)Constant (mathematics)ScalingCuPhysical Review Letters
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On the use of the absorbed depth-dose measurements in the beam calibration of a surface electronic high-dose-rate brachytherapy unit, a Monte Carlo-b…

2019

PURPOSE To evaluate the use of the absorbed depth-dose as a surrogate of the half-value layer in the calibration of a high-dose-rate electronic brachytherapy (eBT) equipment. The effect of the manufacturing tolerances and the absorbed depth-dose measurement uncertainties in the calibration process are also addressed. METHODS The eBT system Esteya® (Elekta Brachytherapy, Veenendaal, The Netherlands) has been chosen as a proof-of-concept to illustrate the feasibility of the proposed method, using its 10 mm diameter applicator. Two calibration protocols recommended by the AAPM (TG-61) and the IAEA (TRS-398) for low-energy photon beams were evaluated. The required Monte Carlo (MC) simulations w…

Surface (mathematics)Materials scienceBackscattermedicine.medical_treatmentBrachytherapyMonte Carlo methodBrachytherapyPermeability030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinemedicineCalibrationDosimetryRadiometryAirRadiotherapy Planning Computer-AssistedX-RaysUncertaintyReproducibility of ResultsWaterRadiotherapy DosageGeneral MedicineEquipment DesignHigh-Dose Rate BrachytherapyComputational physics030220 oncology & carcinogenesisCalibrationMonte Carlo MethodBeam (structure)Medical physicsReferences
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Roughening of the Cu(110) surface

1993

The structure of the Cu(110) surface is studied at high temperatures using a combination of lattice-gas Monte Carlo and molecular dynamics methods with identical many-atom interactions derived from the effective medium theory. The anisotropic six-vertex model is used in the interpretation of the lattice-gas results. We find a clear roughening transition around T_R=1000K and T_R/T_M=0.81. Molecular dynamics reveals the clustering of surface defects as the atomistic mechanism of the transition and allows us to estimate characteristic time scales. For the system of size 50x50, the time scale of the local roughening at 1150 K of an initially smooth surface is of the order of 100 ps.

Surface (mathematics)Materials scienceCondensed Matter (cond-mat)Monte Carlo methodFOS: Physical sciencesGeneral Physics and Astronomychemistry.chemical_elementCondensed Matter02 engineering and technology01 natural sciencesInterpretation (model theory)Molecular dynamicsTransition metalPhase (matter)Vacancy defect0103 physical sciencesAnisotropy010306 general physicsPhysicsCondensed matter physicsOrder (ring theory)021001 nanoscience & nanotechnologyCopperSmooth surfaceCorrelation function (statistical mechanics)chemistry0210 nano-technologyPhysical Review Letters
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Surface order in body-centered cubic alloys

1993

Free (100)-surfaces of body-centered cubic binary alloys are studied in a parameter range where the bulk turns from the ordered B2-phase to the disordered A2-phase. A model is chosen that describes iron-aluminium alloys in a fairly realistic way. Mean field treatments and Monte Carlo investigations both show that under certain circumstances the surface remains ordered far above the bulk disordering temperatureT c, though the surface order parameter and the surface susceptibility exhibit a singularity atT c with critical exponents characteristic for the ordinary transition. One finds, that if the surface is nonstoechiometric and different layers are not equivalent with respect to perfect bul…

Surface (mathematics)Materials scienceSingularityMean field theoryCondensed matter physicsField (physics)Monte Carlo methodBinary numberGeneral Materials ScienceCubic crystal systemCondensed Matter PhysicsCritical exponentElectronic Optical and Magnetic MaterialsZeitschrift f�r Physik B Condensed Matter
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Order and Disorder Phenomena at Surfaces of Binary Alloys

2000

We present recent Monte Carlo results on surfaces of bcc-structured binary alloys which undergo an order-disorder phase transformation in the bulk. In particular, we discuss surface order and surface induced disorder at the bulk transition between the ordered (DO3) phase and the disordered (A2) phase. An intricate interplay between different ordering and segregation phenomena leads to a complex surface behavior, which depends on the orientation of the surface under consideration.

Surface (mathematics)Orientation (vector space)Materials scienceCondensed matter physicsPhase (matter)Monte Carlo methodBinary alloyOrder and disorderBinary numberSurface order
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