Search results for " Monte Carlo Simulation"

showing 10 items of 30 documents

A new OLS-based procedure for clusterwise linear regression

2009

Data heterogeneity, within a (linear) regression framework, often suggests the use of a Clusterwise Linear Regression (CLR) procedure, which implies, among other things, the estimate of the appropriate number of clusters as well as the cluster membership of each unit. The approaches to the estimation of a CLR model are essentially based on the Ordinary Least Square (OLS) criterion or the likelihood criterion. In this paper, in a context of OLS approach, we propose an estimation of the model making use of an algorithm based on a threshold criterion for the determination coefficient of each cluster, to identify the appropriate number of clusters, and of a modified Spath's algorithm, to estima…

Linear regression Cluster analysis Monte Carlo simulation.Settore SECS-S/01 - Statistica
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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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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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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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Characterization and performance of the DTAS detector

2018

11 pags., 16 figs., 3 tabs.

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodspektrometritβ decayFOS: Physical sciencesNon-proportional scintillation light yield: Monte Carlo simulationsMonte Carlo simulations [Non-proportional scintillation light yield]y-ray spectrometerB decay[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesMonte Carlo simulationsOpticsDistortion0103 physical sciencesNeutron[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Nuclear Experiment (nucl-ex)010306 general physicsAbsorption (electromagnetic radiation)Nuclear ExperimentInstrumentation[formula omitted] decayNuclear ExperimentPhysicsta114Spectrometer010308 nuclear & particles physicsbusiness.industryNaI(Tl) detectorPulse generatorTotal absorption [formula omitted]-ray spectrometerDetectornon-proportional scintillation light yieldInstrumentation and Detectors (physics.ins-det)Total absorption γ -ray spectrometerNon-proportional scintillation light yieldFísica nuclearTotal absorptionydinfysiikkabusinessDelayed neutronExotic nucleiNuclear instruments & methods inphysics research section A: Accelerators spectrometers detectors and associated equipment 910: 79-89 (2018)
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An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

Operating costOperations researchComputer sciencebusiness.industryStrategy and ManagementRank (computer programming)Monte Carlo SimulationAnalytic hierarchy processTransportationManagement Monitoring Policy and LawFull service and low cost airlines; Analytic hierarchy process; Operating costs; Monte Carlo SimulationMicroeconomicsRentingRankingLow-cost carrierFull service and low cost airlineAnalytic hierarchy proceBalance sheetRobustness (economics)businessLawOperating cost
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The Monte Carlo simulation of the Borexino detector

2017

We describe the Monte Carlo (MC) simulation package of the Borexino detector and discuss the agreement of its output with data. The Borexino MC 'ab initio' simulates the energy loss of particles in all detector components and generates the resulting scintillation photons and their propagation within the liquid scintillator volume. The simulation accounts for absorption, reemission, and scattering of the optical photons and tracks them until they either are absorbed or reach the photocathode of one of the photomultiplier tubes. Photon detection is followed by a comprehensive simulation of the readout electronics response. The algorithm proceeds with a detailed simulation of the electronics c…

Physics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsSolar neutrinoMonte Carlo methodscintillation counter: liquidSolar neutrinosenergy resolution01 natural sciences7. Clean energyLarge volume liquid scintillator detectorHigh Energy Physics - Experiment[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Large volume liquid scintillator detectorsBorexinoPhysicsphotomultipliertrack data analysisDetectorefficiency: quantumddc:540GEANTBorexinoNeutrinophoton: yieldnumerical calculations: Monte CarloPhotomultiplierdata analysis methodenergy lossScintillatorSolar neutrinoprogrammingphoton: reflectionMonte Carlo simulationsNuclear physics0103 physical sciencesphoton: scattering[INFO]Computer Science [cs][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsbackground: radioactivityMonte Carlo simulationdetector: designScintillation010308 nuclear & particles physicsbibliographyAstronomy and AstrophysicscalibrationLarge volume liquid scintillator detectors; Monte Carlo simulations; Solar neutrinos; Astronomy and Astrophysicsattenuation: lengthpile-upelectronics: readout
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