Search results for "Monte carlo method"

showing 10 items of 1234 documents

MO-D-AUD B-08: Treatment Planning for Complex Brachytherapy Dose Distributions Using High-Z Shields and Conventional Software

2008

Purpose: Certain brachytherapydose distributions, like for LDR prostate implants, are readily modeled by treatment planningsoftware using the superposition principle of individual seeds to replicate the total dose distribution. However, dose distributions for brachytherapy treatments using high‐Z shields are currently not well‐modeled using conventional software.Method and Materials:Dose distributions from complex brachytherapy plaques determined using Monte Carlo methods were used as input data, and included COMS‐based eye plaques using 125 I , 103 Pd , and 131 Cs ; 4–8cm diameter AccuBoost peripheral breast brachytherapy applicators from Advanced Radiation Therapy; and the 2 and 3cm diame…

Physicsbusiness.industrymedicine.medical_treatmentMonte Carlo methodCoordinate systemBrachytherapyGeneral MedicineDistribution (mathematics)Planned DosemedicineDosimetryRadiation treatment planningNuclear medicinebusinessImage resolutionMedical Physics
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Dynamics of Dense Polymers: A Molecular Dynamics Approach

1988

The physics of polymeric materials[1, 2] is one of the most challenging problems in condensed matter physics today. It is a problem of great interest both from a fundamental viewpoint and for their various technical applications. In addition to theortical and experimental approaches, computer simulations[3–11] have played an important role in our present understanding of polymers. For static properties Monte Carlo methods have been widely used and give excellent results for static critical exponents. To investigate dynamic properties three different methods — Monte Carlo (MC)[3–7], molecular dynamics (MD)[8, 9] and Brownian dynamics methods[10] — have been used. Detailed microscopic dynamic…

Physicschemistry.chemical_classificationPersistence lengthMolecular dynamicsReptationStar polymerchemistryMonte Carlo methodBrownian dynamicsStatistical physicsPolymerCritical exponent
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Bridging the Gap Between Atomistic and Coarse-Grained Models of Polymers: Status and Perspectives

2000

Recent developments that increase the time and distance scales accessible in the simulations of specific polymers are reviewed. Several different techniques are similar in that they replace a model expressed in fully atomistic detail with a coarse-grained model of the same polymer, atomistic → coarse-grained (and beyond!), thereby increasing the time and distance scales accessible within the expenditure of reasonable computational resources. The bridge represented by the right-pointing arrow can be constructed via different procedures, which are reviewed here. The review also considers the status of methods which reverse this arrow, atomistic ← coarse-grained. This “reverse-mapping” recover…

Physicschemistry.chemical_classificationQuantitative Biology::BiomoleculesBridging (networking)Computer simulationchemistryReplicaMonte Carlo methodProcess (computing)Statistical physicsPolymerRepresentation (mathematics)Image (mathematics)
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New Development of Monte Carlo Techniques for Studying Bottle-brush Polymers

2011

Due to the complex characteristics of bottle-brush polymers, it became a challenge to develop an efficient algorithm for studying such macromolecules under various solvent conditions or some constraints in the space by using computer simulations. In the limit of a bottle-brush polymer with a rather stiff backbone (straight rigid backbone), we generalize the variant of the biased chain growth algorithm, the pruned-enriched Rosenbluth method, for simulating polymers with complex architecture, from star polymers to bottle-brush polymers, on the simple cubic lattice. With the high statistics of our Monte Carlo results, we check the theoretical predictions of side chain behavior and radial monom…

Physicschemistry.chemical_classificationQuantitative Biology::BiomoleculesScaling lawsAutocorrelationMonte Carlo methodFOS: Physical sciencesMonte Carlo methodsPolymerCondensed Matter - Soft Condensed MatterPhysics and Astronomy(all)GyrationBottle-brush polymersCondensed Matter::Soft Condensed Matterchemistry.chemical_compoundMonomerchemistryLattice (order)Side chainSoft Condensed Matter (cond-mat.soft)Statistical physicsStructuresMonte Carlo algorithm
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Scaling of non-Markovian Monte Carlo wave-function methods

2004

We demonstrate a scaling method for non-Markovian Monte Carlo wave-function simulations used to study open quantum systems weakly coupled to their environments. We derive a scaling equation, from which the result for the expectation values of arbitrary operators of interest can be calculated, all the quantities in the equation being easily obtainable from the scaled Monte Carlo simulations. In the optimal case, the scaling method can be used, within the weak coupling approximation, to reduce the size of the generated Monte Carlo ensemble by several orders of magnitude. Thus, the developed method allows faster simulations and makes it possible to solve the dynamics of the certain class of no…

PhysicsdynamicQuantum PhysicsQuantum Monte CarloMonte Carlo methodFOS: Physical sciences01 natural sciences010309 opticsHybrid Monte Carlo0103 physical sciencesDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsQuasi-Monte Carlo methodsystem-environment correlations010306 general physicsQuantum Physics (quant-ph)environmentMonte Carlo molecular modeling
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On coronal structures and their variability in active stars: The case of Capella observed with Chandra/LETGS

2003

In this paper we present a detailed analysis of two X-ray spectra of Capella, taken eleven months apart with the Low Energy Transmission Grating Spectrometer (LETGS) of the Chandra Observatory. We have studied variability of the coronal emission over different time scales, both in the whole X-ray band and in narrow temperature ranges identified by lines. The comparison of the two observations shows that the whole coronal emission of Capella in March 2000 was 3% higher than in February 2001; there also appears to be a tendency, albeit a marginal one, for the hottest lines to show the largest changes between the two observations. A detailed search for short-term variability (on time scales ra…

Physicseducation.field_of_studySpectrometerAstrophysics::High Energy Astrophysical PhenomenaPopulationMonte Carlo methodAstronomyAstronomy and AstrophysicsPlasmaAstrophysicsSpectral lineIonStarsSettore FIS/05 - Astronomia E AstrofisicaSpace and Planetary ScienceObservatoryX-rays: stars techniques: spectroscopic stars: activity stars: coronae stars: individual: Capellaeducation
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Dosimetric study of the 15mm ROPES eye plaque

2004

The main aim of this paper is to make a study of dose-rate distributions obtained around the 15 mm, radiation oncology physics and engineering services, Australia (ROPES) eye plaque loaded with {sup 125}I model 6711 radioactive seeds. In this study, we have carried out a comparison of the dose-rate distributions obtained by the algorithm used by the Plaque Simulator (PS) (BEBIG GmbH, Berlin, Germany) treatment planning system with those obtained by means of the Monte Carlo method for the ROPES eye plaque. A simple method to obtain the dose-rate distributions in a treatment planning system via the superposition of the dose-rate distributions of a seed placed in the eye plaque has been develo…

Physicsgenetic structuresBackscatterbusiness.industryAttenuationmedicine.medical_treatmentMonte Carlo methodBrachytherapyGeneral MedicineImaging phantomScleraSuperposition principlemedicine.anatomical_structureOpticsmedicineDosimetryNuclear medicinebusinessMedical Physics
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Technical note: Monte Carlo derivation of TG-43 dosimetric parameters for radiation therapy resources and 3M Cs-137 sources

2005

In clinical brachytherapy dosimetry, a detailed dose rate distribution of the radioactive source in water is needed in order to plan for quality treatment. Two Cs-137 sources are considered in this study; the Radiation Therapy Resources 67-800 source (Radiation Therapy Resources Inc., Valencia, CA) and the 3M model 6500/6D6C source. A complete dosimetric dataset for both sources has been obtained by means of the Monte Carlo GEANT4 code. Dose rate distributions are presented in two different ways; following the TG43 formalism and in a 2D rectangular dose rate table. This 2D dose rate table is helpful for the TPS quality control and is fully consistent with the TG43 dose calculation formalism…

Physicsmedicine.medical_specialtyPhotonbusiness.industrymedicine.medical_treatmentRadioactive sourceBrachytherapyMonte Carlo methodGeneral MedicineComputational physicsRadiation therapymedicineRelative biological effectivenessDosimetryMedical physicsbusinessQuality assuranceMedical Physics
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SU-E-T-237: Monte Carlo Dosimetric Characterization of the Mobetron Mobile Linac

2014

Purpose: The aim of this work is to characterize dosimetrically a clinical intraoperative electron beam accelerator, Mobetron (IntraOp Medical, Inc.) in clinical use in our Hospital. Once this first step is completed our purpose is to evaluate shielding requirements for such a device by preparing adequate phase space files. Methods: It is known that electron beam simulation parameters required for state-of-the-art Monte Carlo codes to obtain a good match with measured data, like the mean energy or the FWHM, may not be code-independent due to the different set of process simulated and formalisms involved. Then, to cross-check our results against any issue in the simulation we have compared e…

Physicsmedicine.medical_specialtyPhysics::Medical PhysicsMonte Carlo methodExperimental dataGeneral MedicineLinear particle acceleratorComputational physicsPhase spaceElectromagnetic shieldingmedicineCathode rayRange (statistics)Medical physicsEnergy (signal processing)Medical Physics
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A mammographic phantom image reconstruction through Monte Carlo techniques

2005

Mammographic phantoms are employed during quality control test in breast screening locations and other health centres. These quality controls are performed to achieve the image quality required to detect breast abnormalities, ensuring the minimum risk to radiographied women. The aim of this study is the development of a methodology to reproduce the image of a mammogram during a routine exposure in a breast screening programme. In a first step, the CIRS 11A (MAMMO PHANTOM SP01) mammographic phantom has been simplified and modelled with the Monte Carlo transport code MCNP-4c2. Different tallies (F2 and F5) have been used to score the photon flux under the phantom, and a group of aluminium lay…

Physicsmedicine.medical_specialtyPixelmedicine.diagnostic_testbusiness.industryImage qualityMonte Carlo methodIterative reconstructionImaging phantomKermamedicineDosimetryMammographyComputer visionMedical physicsArtificial intelligencebusiness
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