Search results for "monte carlo simulations"

showing 10 items of 37 documents

High-temperature X-ray absorption spectroscopy study of thermochromic copper molybdate

2019

Financial support provided by Scientific Research Project for Students and Young Researchers Nr. SJZ/2017/5 and SJZ/2018/1 realized at the Institute of Solid State Physics, University of Latvia is greatly acknowledged. The work was also supported by philanthropist MikroTik and administrated by the University of Latvia Foundation . The experiment at the Elettra synchrotron was performed within the project No. 20150303 .

Materials sciencePolymers and PlasticsAbsorption spectroscopyAnalytical chemistrychemistry.chemical_element02 engineering and technologyMolybdate01 natural sciences7. Clean energychemistry.chemical_compound0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]010302 applied physicsReverse Monte Carlo simulationsX-ray absorption spectroscopyThermochromismExtended X-ray absorption fine structureCuMoO4Metals and AlloysAtmospheric temperature range021001 nanoscience & nanotechnologyCopperXANESXANESElectronic Optical and Magnetic MaterialsEXAFSchemistryMolybdenumCeramics and Composites0210 nano-technologyActa Materialia
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Thermal disorder and correlation effects in anti-perovskite-type copper nitride

2017

This work has been supported by the Latvian National Research Program IMIS2. The EXAFS experiment has been financed from the European Community's Seventh Framework Programme under grant agreement No. 226716 (Project I-20100098 EC). J.T. also gratefully acknowledges support from the National Science Foundation under the DMREF program Grant No. CHE-1534184.

Materials sciencePolymers and Plasticschemistry.chemical_element02 engineering and technologyReverse Monte CarloCrystal structureNitride01 natural scienceschemistry.chemical_compoundCondensed Matter::Materials ScienceRhenium trioxideddc:670Condensed Matter::Superconductivity0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]010306 general physicsAnisotropyPerovskite (structure)Reverse Monte Carlo simulationsExtended X-ray absorption fine structureQuantitative Biology::Neurons and CognitionCu3NLattice dynamicsMetals and Alloys021001 nanoscience & nanotechnologyCopper3. Good healthElectronic Optical and Magnetic MaterialsCrystallographyEXAFSchemistryCeramics and Composites0210 nano-technology
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Monte Carlo analysis of polymer translocation with deterministic and noisy electric fields

2012

AbstractPolymer translocation through the nanochannel is studied by means of a Monte Carlo approach, in the presence of a static or oscillating external electric voltage. The polymer is described as a chain molecule according to the two-dimensional “bond fluctuation model”. It moves through a piecewise linear channel, which mimics a nanopore in a biological membrane. The monomers of the chain interact with the walls of the channel, modelled as a reflecting barrier. We analyze the polymer dynamics, concentrating on the translocation time through the channel, when an external electric field is applied. By introducing a source of coloured noise, we analyze the effect of correlated random fluct…

Materials scienceQC1-999transport dynamics of biomoleculeMonte Carlo methodpolymer moleculespolymer moleculeGeneral Physics and AstronomyQuantitative Biology::Subcellular ProcessesPiecewise linear functionmonte carlo simulationsnoise in biological systemChain (algebraic topology)Electric fieldStatistical physicschemistry.chemical_classificationPhysics::Biological PhysicsQuantitative Biology::Biomoleculestransport dynamics of biomoleculesPhysicsPolymernoise in biological systemsNanoporechemistryChemical physicsCommunication channelVoltageOpen Physics
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Advanced approach to the local structure reconstruction and theory validation on the example of the W L 3 -edge extended x-ray absorption fine struct…

2018

The authors gratefully acknowledge the assistance of the ELETTRA XAFS beamline staff members during the EXAFS experiment No 20150303. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission.

Materials sciencechemistry.chemical_elementFOS: Physical sciences02 engineering and technologyEdge (geometry)Tungsten01 natural sciencesLocal structureTungstenCondensed Matter::Materials Science0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]General Materials Science010306 general physicsReverse Monte Carlo simulationsCondensed Matter - Materials ScienceExtended X-ray absorption fine structureMolecular dynamics simulationsMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter PhysicsComputer Science ApplicationsComputational physicsEXAFSchemistryMechanics of MaterialsModeling and Simulation0210 nano-technologyModelling and Simulation in Materials Science and Engineering
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Competing species system as a qualitative model of radiation therapy

2016

To examine complex features of tumor dynamics we analyze a competing-species lattice model that takes into account the competition for nutrients or space as well as interaction with therapeutic factors such as drugs or radiation. Our model might be interpreted as a certain prey–predator system having three trophic layers: (i) the basal species that might be interpreted as nutrients; (ii) normal and tumor cells that consume nutrients, and (iii) therapeutic factors that might kill either nutrient, normal or tumor cells. Using a wide spectrum of parameters we examined survival of our species and tried to identify the corresponding dynamical regimes. It was found that the radiotherapy influence…

Mean-field approximationPrey–predator systemsTumor growthMonte Carlo simulationsPhysica A : Statistical Mechanics and Its Applications
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Simplified model to evaluate the fate of micropollutants in an integrated urban drainage system: sensitivity analysis

2016

The paper presents the sensitivity analysis of an integrated urban water quality system by means of the global sensitivity analysis (GSA). Specifically, an home-made integrated model developed in previous studies has been modified in order to include the micropollutant assessment (namely, sulfamethoxazole - SMX). The model takes into account also the interactions between the three components of the system: sewer system (SS), wastewater treatment plant (WWTP) and the receiving water body (RWB). The analysis has been applied to an experimental catchment nearby Palermo (Italy): the Nocella catchment. Five scenarios each characterized by different combinations of sub-systems (i.e., SS, WWTP and…

MicropollutantmodellingSettore ICAR/03 - Ingegneria Sanitaria-Ambientaleurban drainageMonte Carlo simulationsMicropollutants; urban drainage; modelling; Monte Carlo simulations
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Dosimetry for electron Intra-Operative RadioTherapy: Comparison of output factors obtained through alanine/EPR pellets, ionization chamber and Monte …

2015

Abstract In this work a comparison between the response of alanine and Markus ionization chamber was carried out for measurements of the output factors (OF) of electron beams produced by a linear accelerator used for Intra-Operative Radiation Therapy (IORT). Output factors (OF) for conventional high-energy electron beams are normally measured using ionization chamber according to international dosimetry protocols. However, the electron beams used in IORT have characteristics of dose per pulse, energy spectrum and angular distribution quite different from beams usually used in external radiotherapy, so the direct application of international dosimetry protocols may introduce additional uncer…

Nuclear and High Energy PhysicsDosimeterPhysics::Instrumentation and DetectorsChemistryIORTSettore FIS/01 - Fisica SperimentalePhysics::Medical PhysicsMonte Carlo methodDetectorGeant4Dose profileElectronalanine dosimetry Monte Carlo Simulation Geant4Alanine dosimetrySettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Linear particle acceleratorMonte Carlo simulationsComputational physicsNuclear magnetic resonanceIonization chamberDosimetrySettore MED/36 - Diagnostica Per Immagini E RadioterapiaInstrumentationNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Interaction position resolution simulations and in-beam measurements of the AGATA HPGe detectors

2011

WOS: 000290082600015

Nuclear and High Energy PhysicsFusion-evaporation ReactionsPhysics::Instrumentation and Detectorsg-ray trackingAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodEvaporationRay tracking[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesParticle detectorNuclear physicsAGATA Fusion-evaporation reactions HPGe detectors Monte Carlo Simulation Ray tracking; Computer simulation Evaporation Monte Carlo methods Phase transitions; DetectorsHPGe Detectors0103 physical sciencesNuclear Experiment010306 general physicsInstrumentationGamma-ray TrackingPhysics010308 nuclear & particles physics4. EducationResolution (electron density)DetectorMonte Carlo SimulationMonte Carlo methodsDetectorsComputer simulationSemiconductor detectorPhase transitionsMonte Carlo SimulationsMeasuring instrumentHigh Energy Physics::ExperimentAGATAAGATABeam (structure)
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Reliability of Monte Carlo event generators for gamma-ray dark matter searches

2013

We study the differences in the gamma-ray spectra simulated by four Monte Carlo event generator packages developed in particle physics. Two different versions of PYTHIA and two of HERWIG are analyzed, namely PYTHIA 6.418 and HERWIG 6.5.10 in Fortran and PYTHIA 8.165 and HERWIG 2.6.1 in C++. For all the studied channels, the intrinsic differences between them are shown to be significative and may play an important role in misunderstanding dark matter signals.

Nuclear and High Energy PhysicsParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)FortranMonte Carlo methodDark matterFOS: Physical sciencesGamma ray spectra01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)Reliability (semiconductor)0103 physical sciences010303 astronomy & astrophysicsEvent generatorcomputer.programming_languageHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics010308 nuclear & particles physicsGamma rayFísicaHigh Energy Physics - PhenomenologyMonte Carlo SimulationsAstrophysics - High Energy Astrophysical PhenomenacomputerEvent (particle physics)Astrophysics - Cosmology and Nongalactic Astrophysics
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Characterization of a cylindrical plastic {\beta}-detector with Monte Carlo simulations of optical photons

2017

V. Guadilla et al. -- 5 pags., 8 figs., tab.

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhotonTotal absorption spectroscopyoptical photonsTotal absorption spectroscopyMonte Carlo method[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]7. Clean energy01 natural sciencesElectromagnetic radiationMonte Carlo simulationsOptics0103 physical sciencesPlastic scintillators[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]plastic scintillators010306 general physicsAbsorption (electromagnetic radiation)Nuclear ExperimentInstrumentationPhysicsSpectrometerta114010308 nuclear & particles physicsbusiness.industryDetectortotal absorption spectroscopyComputational physicsOptical photonsDynamic Monte Carlo methodbusiness
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