Search results for "simulation methods"

showing 10 items of 20 documents

Structural Characterization of Organics Using Manual and Automated Electron Diffraction

2010

In the last decade the importance of transmission electron microscopic studies has become increasingly important with respect to the characterization of organic materials, ranging from small organic molecules to polymers and biological macromolecules. This review will focus on the use of transmission electron microscope to perform electron crystallography experiments, detailing the approaches in acquiring electron crystallographic data. The traditional selected area approach and the recently developed method of automated diffraction tomography (ADT) will be discussed with special attention paid to the handling of electron beam sensitive organic materials.

Materials sciencePolymers and PlasticsRenewable Energy Sustainability and the EnvironmentElectron crystallographyBiomedical EngineeringCrystallographic dataNanotechnologyGeneral ChemistryElectronautomated data acquisition; electron diffraction; simulation methods; structure determinationsimulation methodsautomated data acquisitionstructure determinationElectronic Optical and Magnetic MaterialsCharacterization (materials science)Diffraction tomographyElectron diffractionTransmission electron microscopyMaterials ChemistryEnergy filtered transmission electron microscopyelectron diffractionElectrical and Electronic Engineering
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Comparing equilibration schemes of high-molecular-weight polymer melts with topological indicators.

2021

Abstract Recent theoretical studies have demonstrated that the behaviour of molecular knots is a sensitive indicator of polymer structure. Here, we use knots to verify the ability of two state-of-the-art algorithms—configuration assembly and hierarchical backmapping—to equilibrate high-molecular-weight (MW) polymer melts. Specifically, we consider melts with MWs equivalent to several tens of entanglement lengths and various chain flexibilities, generated with both strategies. We compare their unknotting probability, unknotting length, knot spectra, and knot length distributions. The excellent agreement between the two independent methods with respect to knotting properties provides an addit…

PaperMaterials sciencemolecular knots; multiscale simulations; polymer melts; polymer modelling; topological propertiesStructure (category theory)02 engineering and technologyQuantum entanglementTopologyMultiscale Simulation Methods for Soft Matter Systemspolymer melts01 natural sciencesSpectral lineMolecular dynamicsKnot (unit)multiscale simulationsChain (algebraic topology)Consistency (statistics)0103 physical sciencesGeneral Materials Sciencepolymer modelling010306 general physicsmolecular knotschemistry.chemical_classificationPolymer021001 nanoscience & nanotechnologyCondensed Matter PhysicsMathematics::Geometric Topologychemistry0210 nano-technologytopological properties
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General Introduction to Computer Simulation Methods

1986

Computer simulation methods are now an established tool in many branches of science. The motivation for computer simulations of physical systems are manifold. One of the main motivations is that one eliminates approximations with computer simulations. Usually to treat a problem analytically (if it can be done at all) one needs to resort to some kind of approximation; for exam- ple a mean-field-type approximation. With a computer simulation we have the ability to study systems not yet tractable with analytical methods. The computer simulation approach allows one to study complex systems and gain insight into their behaviour. Indeed, the complexity can go far beyond the reach of present analy…

Partition function (quantum field theory)Theoretical computer sciencelawComputer sciencePhase spaceComplex systemPhysical systemManifold (fluid mechanics)Simulation methodslaw.invention
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Second generation Car-Parrinello molecular dynamics

2014

Computer simulation methods, such as Monte Carlo or molecular dynamics, are very powerful theoretical techniques to provide detailed and essentially exact informations on rather complex classical many-body problems. With the advent of ab initio molecular dynamics (AIMD), where finite-temperature dynamical trajectories are generated using interatomic forces which are calculated on the fly using accurate electronic structure calculations, the scope of computational research has been greatly extended. This review is intended to outline the basic principles as well as being a survey of the field. Beginning with the derivation of Born–Oppenheimer molecular dynamics, the Car–Parrinello method and…

PhysicsField (physics)On the flyMonte Carlo methodAb initioElectronic structureBiochemistryComputer Science ApplicationsAb initio molecular dynamicsComputational MathematicsMolecular dynamicsPhysics::Atomic and Molecular ClustersMaterials ChemistryStatistical physicsPhysical and Theoretical ChemistrySimulation methodsWiley Interdisciplinary Reviews: Computational Molecular Science
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Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

2019

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…

TechnologyPhysics - Instrumentation and DetectorsProtonPhysics::Instrumentation and DetectorsComputer sciencebackground: inducedNuclear TheoryDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Simulation methods and programs01 natural sciences09 EngineeringHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]muon: momentumDetectors and Experimental TechniquesNuclear Experimentphysics.ins-detGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationInstruments & InstrumentationMathematical PhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)02 Physical Sciencesinteraction of photons with matterInstrumentation and Detectors (physics.ins-det)p: beammuon: productionDetector modelling and simulations INuclear & Particles Physicsinteraction of hadrons with matterParticle Physics - Experimentperformancedata analysis methodDetector modelling and simulations I (interaction of radiation with matterFOS: Physical sciencesAccelerator Physics and Instrumentation0103 physical sciencesnumerical methodsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Aerospace engineering010306 general physicsnumerical calculationsetc)MuonScience & Technologyhep-ex010308 nuclear & particles physicsbusiness.industryNumerical analysisAcceleratorfysik och instrumenteringCERN SPSPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentSimulation methods and programsbusinessGenerative grammar
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Electron crystallography and non-linear optics

1999

Electron crystallography can be used to obtain specific information about molecular parameters such as the polarisability, dipole moment, and hyperpolarisability. In this, work we show how a combination of quantum mechanics and simulation methods can be used to solve several unknown organic structures and how the calculated molecular parameters can be used to predict the corresponding physical properties of the crystals.

Work (thermodynamics)HistologyElectron crystallographyChemistryNonlinear opticsMolecular physicsMedical Laboratory TechnologyDipoleComputational chemistryMoment (physics)AnatomyInstrumentationComputer Science::DatabasesSimulation methodsMicroscopy Research and Technique
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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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Analysis of Relationship between Net Wage and Consumer Price Index

2013

Abstract In the present paper is presented an econometric analysis of the relationship between net salary and consumer price index. After a brief historical overview will be review the calculating statistics for selected variables and coefficients and will be presented the obtained values. We will study the relationship between variables. It will be realized the cloud of points and will be applied Fisher test. The intensity of selected variables will be study too and some forms of relationship between the two chose variables will be done. Student test is applied. It will be performed the parameter estimation for regression functions and Akaike's criterion will be applied. The homoscedastici…

media_common.quotation_subjectWageEnergy Engineering and Power TechnologyFactor Income DistributionSimulation MethodsEconometric SoftwareComputer ProgramsForecasting and Prediction Methods.Net incomeHomoscedasticityData Collection and Data Estimation MethodologyStatisticsValidationEconometricsEconomicsModel Construction and EstimationConsumer price indexForecasting and Prediction Methodsand Selectionmedia_commonGeneral EngineeringTest (assessment)Model EvaluationEconometric modelWage Level and StructureConsumer price indexEconometric ModelingNet wageAkaike information criterionStudent's t-testProcedia Economics and Finance
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Highly-parallelized simulation of a pixelated LArTPC on a GPU

2023

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The alg…

multiplication and inductionpulse formationscintillationtutkimuslaitteethiukkasfysiikkaelectric fieldsnoble liquid detectorscharge transportdetector modelling and simulations IIsimulation methods and programsMonte Carlo -menetelmätilmaisimetelectron emissiondouble-phaseprosessointiionizationalgoritmittime projection chamberssimulointiTPC
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The ALICE experiment at the CERN LHC

2008

Journal of Instrumentation 3(08), S08002 (2008). doi:10.1088/1748-0221/3/08/S08002

visible and IR photonsLiquid detectorshigh energyPhotonPhysics::Instrumentation and DetectorsTransition radiation detectorsTiming detectors01 natural sciencesOverall mechanics designParticle identificationSoftware architecturesParticle identification methodsGaseous detectorscluster findingDetector cooling and thermo-stabilizationDetector groundingParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Special cablesDetector alignment and calibration methodsDetectors and Experimental TechniquesNuclear ExperimentVoltage distributions.Photon detectors for UVInstrumentationMathematical PhysicsQuantum chromodynamicsPhysicsLarge Hadron ColliderSpectrometersPhysicsDetectorcalibration and fitting methodsTransition radiation detectorScintillatorsData processing methodsAnalysis and statistical methodsData reduction methodsParticle physicsCherenkov and transition radiationTime projection chambers610dE/dx detectorsNuclear physicsCalorimetersPattern recognitionGamma detectors0103 physical sciencesddc:610Solid state detectors010306 general physicsMuonInstrumentation for heavy-ion acceleratorsSpectrometerLarge detector systems for particle and astroparticle physics010308 nuclear & particles physicsCERN; LHC; ALICE; heavy ion; QGPCherenkov detectorsComputingVoltage distributionsManufacturingscintillation and light emission processesanalysis and statistical methods; calorimeters; cherenkov and transition radiation; cherenkov detectors; computing; data processing methods; data reduction methods; de/dx detectors; detector alignment and calibration methods; detector cooling and thermo-stabilization; detector design and construction technologies and materials; detector grounding; gamma detectors; gaseous detectors; instrumentation for heavy-ion accelerators; instrumentation for particle accelerators and storage rings - high energy; large detector systems for particle and astroparticle physics; liquid detectors; manufacturing; overall mechanics design; particle identification methods; particle tracking detectors; pattern recognition; cluster finding; calibration and fitting methods; photon detectors for uv; visible and ir photons; scintillators; scintillation and light emission processes; simulation methods and programs; software architectures; solid state detectors; special cables; spectrometers; time projection chambers; timing detectors; transition radiation detectors; voltage distributionsInstrumentation for particle accelerators and storage ringsInstrumentation; Mathematical PhysicsHigh Energy Physics::ExperimentSimulation methods and programsDetector design and construction technologies and materials
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