Search results for "simulations"

showing 10 items of 288 documents

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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Observational constraints on decoupled hidden sectors

2016

We consider an extension of the Standard Model with a singlet sector consisting of a real (pseudo)scalar and a Dirac fermion coupled with the Standard Model only via the scalar portal. We assume that the portal coupling is weak enough for the singlet sector not to thermalize with the Standard Model allowing the production of singlet particles via the freeze-in mechanism. If the singlet sector interacts with itself sufficiently strongly, it may thermalize within itself, resulting in dark matter abundance determined by the freeze-out mechanism operating within the singlet sector. We investigate this scenario in detail. In particular, we show that requiring the absence of inflationary isocurva…

Particle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)Dark matterScalar (mathematics)FOS: Physical sciencesParameter space114 Physical sciences01 natural sciencesStandard Modeldecouplingsymbols.namesakeHigh Energy Physics - Phenomenology (hep-ph)ABELL 38270103 physical sciencesSinglet state010306 general physicsdark matter abundanceInflation (cosmology)PhysicsINTERACTING DARK-MATTERta114010308 nuclear & particles physicsHigh Energy Physics::Phenomenologyextensions of the Standard ModelHidden sectorHigh Energy Physics - Phenomenologysinglet sectorCOSMOLOGICAL SIMULATIONSDirac fermionGALAXY CLUSTER 1E-0657-56symbols3.5 KEV LINEINTERACTION CROSS-SECTIONAstrophysics - Cosmology and Nongalactic AstrophysicsPhysical Review D
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Water-Hydrophobic Zeolite Systems

2012

Water intrusion-extrusion in hydrophobic microporous AFI, IFR, MTW and TON pure silica zeolites (zeosils) has been investigated through molecular dynamics (MD) simulations. It was found that intruded water volumes correlate with the free volume of the zeosil unit cells. Calculated adsorption isotherms allowed us to estimate the amounts of water intruded, and deviations from experiments (lower experimental with respect to calculated intrusion pressures) have been;explained in terms of connectivity defects in the synthesized materials. Water phase transitions in defectless zeosils occur in a narrow range at high pressure. On the basis of a simple model, we derived a thermodynamic equation tha…

Phase transitionProperties of waterADSORPTIONThermodynamicsALPO4-5SSZ-24Thermodynamic equationsITQ-4 IFRMolecular dynamicschemistry.chemical_compoundAdsorptionComputational chemistryPhysical and Theoretical ChemistryZeoliteSILICALITE-1 ZEOLITEChemistryMicroporous materialDEFECTSMOLECULAR-DYNAMICS SIMULATIONSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsGeneral EnergyVolume (thermodynamics)STATISTICAL-MECHANICSMONTE-CARLO SIMULATIONSINTRUSION
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A study of the material in the ATLAS inner detector using secondary hadronic interactions

2011

The ATLAS inner detector is used to reconstruct secondary vertices due to hadronic interactions of primary collision products, so probing the location and amount of material in the inner region of ATLAS. Data collected in 7 TeV pp collisions at the LHC, with a minimum bias trigger, are used for comparisons with simulated events. The reconstructed secondary vertices have spatial resolutions ranging from ~ 200μm to 1 mm. The overall material description in the simulation is validated to within an experimental uncertainty of about 7%. This will lead to a better understanding of the reconstruction of various objects such as tracks, leptons, jets, and missing transverse momentum.

PhotonPhysics::Instrumentation and Detectorsdetector modelling and simulations i (interaction of radiation with matter; interaction; large detector systems for particle and astroparticle physics; of photons with matter; interaction of hadrons with matter; etc); particle tracking detectors (solid-state detectors); si microstrip and pad detectors01 natural sciencesparticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]of photons with matter interaction of hadrons with matter etc)InstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Detectors de radiacióMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleDetectorVERTEX DETECTORSSi microstrip and pad detectorsTransition radiation detectorinteraction of hadrons with matterExperimental uncertainty analysismedicine.anatomical_structureParticle tracking detectors (Solid-state detectors)Física nuclearParticle Physics - Experimentof photons with matterParticle physicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Particle tracking detectors (Solid-state detectors); Si microstrip and pad detectors; Large detector systems for particle and astroparticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionDetector modelling and simulations I (interaction of radiation with matterddc:500.2530Detector Modelling and SimulationsInteraction of photons with matterNuclear physicsAtlas (anatomy)0103 physical sciencesmedicineddc:610010306 general physicsetc)Astroparticle physicsParticle Tracking DetectorsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsLarge Detector Systemsdetector modelling and simulations IFísicaCol·lisions (Física nuclear)Experimental High Energy PhysicsHigh Energy Physics::ExperimentSi Microstrip and Pad DetectorsLepton
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Study of the material of the ATLAS inner detector for Run 2 of the LHC

2017

The ATLAS inner detector comprises three different sub-detectors: the pixel detector, the silicon strip tracker, and the transition-radiation drift-tube tracker. The Insertable B-Layer, a new innermost pixel layer, was installed during the shutdown period in 2014, together with modifications to the layout of the cables and support structures of the existing pixel detector. The material in the inner detector is studied with several methods, using a low-luminosity root s = 13 TeV pp collision sample corresponding to around 2.0 nb(-1) collected in 2015 with the ATLAS experiment at the LHC. In this paper, the material within the innermost barrel region is studied using reconstructed hadronic in…

Photondrift tubePhysics::Instrumentation and Detectors13000 GeV-cmsparticle identification: efficiencyCiencias FísicasPerformance of High Energy Physics Detector01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]Subatomär fysikHigh Energy Physics - Experiment (hep-ex)Particle tracking detectorsSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]tracking detectorGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical Physicsparticle identification [charged particle]Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)PhysicsLarge Hadron Colliderefficiency [particle identification]track data analysisSettore FIS/01 - Fisica SperimentaleATLAS experimentDetectorpixel [detector]interaction of photons with matterDetectorsMonte Carlo [numerical calculations]ATLASSample (graphics)interaction of hadrons with mattermedicine.anatomical_structureCERN LHC CollLHCcolliding beams [p p]numerical calculations: Monte CarloParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASp p: scatteringphoton: transition530 PhysicsCiências Naturais::Ciências FísicasInstrumentation:Ciências Físicas [Ciências Naturais]transition [photon]Detector modelling and simulations I (interaction of radiation with matterFOS: Physical sciences610charged particle: particle identificationAccelerator Physics and InstrumentationInteraction of photons with matterOpticsAtlas (anatomy)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesmedicinedetector: pixelInteraction of hadrons with matterHigh Energy Physicsddc:610structure010306 general physicsCiencias Exactasetc)Science & TechnologyPixelhep-ex010308 nuclear & particles physicsbusiness.industryinteraction of radiation with matterFísicasiliconAcceleratorfysik och instrumenteringDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Particle tracking detectors; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physics//purl.org/becyt/ford/1.3 [https]tracksDetector modelling and simulationsParticle tracking detectorAstronomíarapidityExperimental High Energy PhysicsPerformance of High Energy Physics DetectorsHigh Energy Physics::Experimenttransition radiationbusinessDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)p p: colliding beamsexperimental results
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Effects of nonlinearity and substrate’s deformability on modulation instability in NKG equation

2017

International audience; This article investigates combined effects of nonlinearities and substrate's deformability on modulational instability. For that, we consider a lattice model based on the nonlinear Klein-Gordon equation with an on-site potential of deformable shape. Such a consideration enables to broaden the description of energy-localization mechanisms in various physical systems. We consider the strong-coupling limit and employ semi-discrete approximation to show that nonlinear wave modulations can be described by an extended nonlinear Schrodinger equation containing a fourth-order dispersion component. The stability of modulation of carrier waves is scrutinized and the following …

Physical systemModulational instability01 natural sciencesInstability010309 opticssymbols.namesakeDeformable lattice0103 physical sciencesNumerical simulations[MATH]Mathematics [math]010306 general physicsDispersion (water waves)PropagationNonlinear Schrödinger equationPhysics[PHYS]Physics [physics]Numerical AnalysisApplied MathematicsMathematical analysisInstability domains and gains[PHYS.MECA]Physics [physics]/Mechanics [physics]DispersionNonlinear systemModulational instabilityAmplitudeClassical mechanicsModeling and SimulationExtended nonlinear SchrodingersymbolsLattice model (physics)
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A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test

2010

A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV…

Physics - Instrumentation and DetectorsCiências Naturais::Ciências FísicasPhysics::Instrumentation and Detectors:Ciências Físicas [Ciências Naturais]Monte Carlo methodFOS: Physical sciencesddc:500.201 natural sciences7. Clean energyPartícules (Física nuclear)Settore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentNuclear physicsCalorimetersHigh Energy Physics - Experiment (hep-ex)PionAtlas (anatomy)calorimeter methods ; pattern recognition ; cluster finding ; calibration and fitting methods ; calorimeters ; detector modelling and simulations0103 physical sciencesCalibrationmedicine[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Calorimeter methods010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Science & TechnologyLarge Hadron Collider010308 nuclear & particles physicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica SperimentaleATLAS experimentInstrumentation and Detectors (physics.ins-det)Calorimetermedicine.anatomical_structureExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentBeam (structure)Journal of Instrumentation
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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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Plenty of motion at the bottom: atomically thin liquid gold membrane

2015

The discovery of graphene some ten years ago was the first proof of a free-standing two-dimensional (2D) solid phase. Here, using quantum molecular dynamics simulations of nanoscale gold patches suspended in graphene pores, we predict the existence of an atomically thin, free-standing 2D liquid phase. The liquid phase, enabled by the exceptional planar stability of gold due to relativistic effects, demonstrates extreme fluxionality of metal nanostructures and opens possibilities for a variety of nanoscale phenomena.

PhysicsCondensed Matter - Mesoscale and Nanoscale Physicsta114free-standing 2D liquidGraphenePhysics::OpticsFOS: Physical sciencesNanotechnologygold membranelaw.inventionMembranePlanarquantum molecular dynamics simulationslawPhase (matter)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)Nanoscale PhenomenaGeneral Materials ScienceMetal nanostructuresRelativistic quantum chemistryNanoscopic scaleNanoscale
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MC calculations for the nEDM experiment systematics

2010

International audience; The nEDM experiment hosted at the Paul Scherrer Institute is the flagship project at the new ultracold neutron facility. Estimations of systematic effects for the determination of the neutron electric dipole moment play an important role in this project. Experimental studies are supported by Monte Carlo simulations using the MCUCN code. Here we briefly present first results on the experimental benchmark of the model, and on the evaluation of the storage time dependence of the centre of mass of UCN in the nEDM precession chamber. Such time dependence calculations will serve as consistency tests for future measurements involving field gradient corrections of the Ramsey…

PhysicsMC simulationsNeutron electric dipole momentField (physics)010308 nuclear & particles physicsNeutron electric dipole momentMonte Carlo methodPhysics and Astronomy(all)[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesNuclear physicsConsistency (statistics)Benchmark (surveying)0103 physical sciencesPrecessionUltracold neutronsNeutron010306 general physicsUltracold neutrons
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