Search results for "Plasmas"

showing 10 items of 1475 documents

Subvisible cirrus clouds - a dynamical system approach

2018

Ice clouds, so-called cirrus clouds, occur very frequently in the tropopause region. A special class are subvisible cirrus clouds with an optical depth lower than 0.03, associated with very low ice crystal number concentrations. The dominant pathway for the formation of these clouds is not known well. It is often assumed that heterogeneous nucleation on solid aerosol particles is the preferred mechanism although homogeneous freezing of aqueous solution droplets might be possible, since these clouds occur in the low-temperature regime T < 235 K. For investigating subvisible cirrus clouds as formed by homogeneous freezing we develop a reduced cloud model from first principles, which is close …

Cultural Studies010504 meteorology & atmospheric sciencesNucleationAstrophysicsAtmospheric sciencesDynamical system01 natural sciences010305 fluids & plasmasEducation0103 physical scienceslcsh:ScienceOptical depthPhysics::Atmospheric and Oceanic PhysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysicsIce crystalslcsh:QC801-809Special classlcsh:QC1-999Aerosollcsh:Geophysics. Cosmic physicsCirruslcsh:QTropopauselcsh:Physics
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Observation of Kuznetsov-Ma soliton dynamics in optical fibre

2012

International audience; The nonlinear Schro¨dinger equation (NLSE) is a central model of nonlinear science, applying to hydrodynamics, plasma physics, molecular biology and optics. The NLSE admits only few elementary analytic solutions, but one in particular describing a localized soliton on a finite background is of intense current interest in the context of understanding the physics of extreme waves. However, although the first solution of this type was the Kuznetzov-Ma (KM) soliton derived in 1977, there have in fact been no quantitative experiments confirming its validity. We report here novel experiments in optical fibre that confirm the KM soliton theory, completing an important serie…

Current (mathematics)Context (language use)Type (model theory)01 natural sciencesArticle010305 fluids & plasmasPhysical Phenomenasymbols.namesake0103 physical sciencesComputer SimulationRogue wave010306 general physicsNonlinear Schrödinger equationNonlinear Sciences::Pattern Formation and SolitonsOptical FibersComputingMilieux_MISCELLANEOUSPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Multidisciplinary[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Models TheoreticalNonlinear systemClassical mechanicsNonlinear Sciences::Exactly Solvable and Integrable SystemsNonlinear DynamicssymbolsSolitonAlgorithmsScientific Reports 2, 463
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Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8

2019

The Cyclotron Radiation Emission Spectroscopy (CRES) technique pioneered by Project 8 measures electromagnetic radiation from individual electrons gyrating in a background magnetic field to construct a highly precise energy spectrum for beta decay studies and other applications. The detector, magnetic trap geometry, and electron dynamics give rise to a multitude of complex electron signal structures which carry information about distinguishing physical traits. With machine learning models, we develop a scheme based on these traits to analyze and classify CRES signals. Understanding and proper use of these traits will be instrumental to improve cyclotron frequency reconstruction and help Pro…

CyclotronGeneral Physics and AstronomyFOS: Physical sciencesElectronMachine learningcomputer.software_genre01 natural sciencesSignalElectromagnetic radiation010305 fluids & plasmaslaw.inventionHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawMagnetic trap0103 physical sciencesddc:530Emission spectrumCyclotron radiationNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentPhysicsbusiness.industryPhysicsDetector3. Good healthArtificial intelligencebusinesscomputer
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Eurofusion-DEMO Divertor - Cassette Design and Integration

2020

International audience; The Eurofusion-DEMO design will complete the Pre Conceptual Design phase (PCD) with a PCD Gate, named G1, scheduled to take place in Q4 2020 that will focus on assessing the feasibility of the plant and its main components prior to entering into the Conceptual Design phase. In the paper first an overview is given of the Eurofusion-DEMO Divertor Assembly including design and interface description, systems and functional requirements, load specification, system classification, manufacturing procedures and cost estimate. Then critical issues are discussed and potential design solutions are proposed, e.g.:- Neutron material damage limits of the different (structural) mat…

DEMO; Divertor; CAD DesignMaterials sciencePassive coolingNuclear engineeringPort (circuit theory)01 natural sciences7. Clean energy010305 fluids & plasmas[SPI]Engineering Sciences [physics]DivertorConceptual design0103 physical sciencesDEMO fusion reactorGeneral Materials ScienceCAD Design010306 general physicsDEMOnuclear fusionSettore ING-IND/19 - Impianti NucleariCivil and Structural Engineeringelectromagnetic computationToroidNuclear heatingSeparatrixMechanical EngineeringDivertornuclear fusion plasma control electromagnetic computationNuclear Energy and EngineeringTUNGSTEN/EUROFER COATING SYSTEM CONCEPTUAL DESIGN COOLING CIRCUIT PROGRESS HCLLplasma controlHigh heat
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Fuel inventory and material migration of JET main chamber plasma facing components compared over three operational periods

2020

Fuel retention and material migration results from JET ITER-like wall beryllium limiter tiles are presented for three operating periods. Ion beam analysis results support the general picture of erosion during limiter configurations with local deposition on tile ends far into the scrape off layer. Similar trends of fuel concentrations are observed in all JET operating periods; (i) low on surfaces exposed to high heat flux and erosion and (ii) higher in deposits. The pattern of fuel retention and deposition correlates with heat flux and distribution of limiter plasmas touching inner and outer limiters. The D/Be ratio in the thickest deposit is similar to 0.01. Global fuel retention attributed…

DESORPTIONMaterials scienceEROSIONJET ITER-like wallchemistry.chemical_element01 natural sciences114 Physical sciences010305 fluids & plasmasmaterial migrationDesorption0103 physical sciencesDEPOSITION010306 general physicsMathematical PhysicsJet (fluid)ITER-LIKE-WALLDivertorMetallurgyPlasmaCondensed Matter PhysicsberylliumAtomic and Molecular Physics and Opticsfuel retentionchemistryINNER WALLErosionDIVERTORBerylliumDeposition (chemistry)
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Interaction between turbulent structures and particles in roughened channel

2016

Abstract The distribution of inertial particles in turbulent flows is highly non-uniform and is driven by the local dynamics of the turbulent structures of the underlying carrier flow field. In the specific context of dilute particle-laden wall-bounded flows, deposition and resuspension mechanisms are dominated by the interaction between inertial particles and coherent turbulent structures characteristic of the wall region. The macroscopic behavior of these two-phase systems is influenced by particle inertia, which plays a role at the microscale of a single dispersed element. These turbulent structures, which control the turbulent regeneration cycles, are strongly affected by the wall rough…

DNSmedia_common.quotation_subjectDirect numerical simulationGeneral Physics and AstronomyContext (language use)Lagrangian particle trackingInertia01 natural sciencesSettore ICAR/01 - Idraulica010305 fluids & plasmasPhysics::Fluid DynamicsPhysics and Astronomy (all)symbols.namesake0103 physical sciences010306 general physicsDispersion (water waves)media_commonFluid Flow and Transfer ProcessesPhysicsTurbulenceMechanical EngineeringParticle-laden flowReynolds numberMechanicsTurbulenceClassical mechanicssymbolsParticleLagrangian trackingParticle mass fluxRoughneInternational Journal of Multiphase Flow
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Anomalous transport effects on switching currents of graphene-based Josephson junctions

2017

We explore the effect of noise on the ballistic graphene-based small Josephson junctions in the framework of the resistively and capacitively shunted model. We use the non-sinusoidal current-phase relation specific for graphene layers partially covered by superconducting electrodes. The noise induced escapes from the metastable states, when the external bias current is ramped, give the switching current distribution, i.e. the probability distribution of the passages to finite voltage from the superconducting state as a function of the bias current, that is the information more promptly available in the experiments. We consider a noise source that is a mixture of two different types of proce…

DYNAMICSJosephson effectJosephson junctionsGaussianFOS: Physical sciencesgraphemeBioengineering01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della Materia010305 fluids & plasmaslaw.inventionsymbols.namesakelawJosephson junction0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)Graphene; Josephson junctions; Levy processes; Non-thermal noise; Bioengineering; Chemistry (all); Materials Science (all); Mechanics of Materials; Mechanical Engineering; Electrical and Electronic EngineeringMechanics of MaterialGeneral Materials ScienceElectrical and Electronic Engineering010306 general physicsPhysicsSuperconductivityLevy processesCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsGrapheneMechanical EngineeringSTABLE RANDOM-VARIABLESChemistry (all)Non-thermal noiseBiasingGeneral ChemistryGraphene; Josephson junctions; Levy processes; Non-thermal noise; STABLE RANDOM-VARIABLES; DYNAMICSLevy processeMechanics of MaterialsPhysics - Data Analysis Statistics and ProbabilitysymbolsProbability distributionMaterials Science (all)GrapheneTransport phenomenaData Analysis Statistics and Probability (physics.data-an)
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Connection between optimal control theory and adiabatic-passage techniques in quantum systems

2012

This work explores the relationship between optimal control theory and adiabatic passage techniques in quantum systems. The study is based on a geometric analysis of the Hamiltonian dynamics constructed from the Pontryagin Maximum Principle. In a three-level quantum system, we show that the Stimulated Raman Adiabatic Passage technique can be associated to a peculiar Hamiltonian singularity. One deduces that the adiabatic pulse is solution of the optimal control problem only for a specific cost functional. This analysis is extended to the case of a four-level quantum system.

DYNAMICSN-LEVEL SYSTEMSStimulated Raman adiabatic passageFOS: Physical sciences01 natural sciencesPULSE SEQUENCES010305 fluids & plasmasOpen quantum systemDESIGNQuantum mechanicsPhysics - Chemical Physics0103 physical sciences010306 general physicsAdiabatic processPhysicsChemical Physics (physics.chem-ph)Quantum PhysicsALGORITHMSAdiabatic quantum computationAtomic and Molecular Physics and OpticsNMRClassical mechanicsGeometric phaseAdiabatic invariantPOPULATION TRANSFERQuantum algorithmSTIRAPQuantum Physics (quant-ph)Hamiltonian (control theory)
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Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

Data AnalysisOperations researchComputer scienceFLOW[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]macroscopic model0904 Chemical EngineeringTransportation02 engineering and technologycomputer.software_genre01 natural sciences010305 fluids & plasmas[SHS]Humanities and Social Sciences[SCCO]Cognitive scienceCrowds0903 Biomedical Engineering0102 Applied Mathematics11. Sustainability0202 electrical engineering electronic engineering information engineeringCluster AnalysisApplied Mathematicsbi-directional fluxcollective behaviourGeneral Medicine[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCore (game theory)Modeling and Simulation[SCCO.PSYC]Cognitive science/Psychology020201 artificial intelligence & image processingGeneral Agricultural and Biological SciencesLife Sciences & BiomedicineBEHAVIORCrowd dynamicsRelation (database)Bioinformatics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]BioengineeringPedestrianModels PsychologicalMachine learningAdvanced Traffic Management SystemPedestrian traffic0103 physical sciencesHumansComputer Simulation[NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Block (data storage)Science & Technologybusiness.industryMathematical ConceptsSIMULATIONSdata-based modelingCrowdingKey (cryptography)Artificial intelligenceMathematical & Computational Biologybusinesscomputer
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Witnessing non-Markovian effects of quantum processes through Hilbert-Schmidt speed

2020

Non-Markovian effects can speed up the dynamics of quantum systems while the limits of the evolution time can be derived by quantifiers of quantum statistical speed. We introduce a witness for characterizing the non-Markovianity of quantum evolutions through the Hilbert-Schmidt speed (HSS), which is a special type of quantum statistical speed. This witness has the advantage of not requiring diagonalization of evolved density matrix. Its sensitivity is investigated by considering several paradigmatic instances of open quantum systems, such as one qubit subject to phase-covariant noise and Pauli channel, two independent qubits locally interacting with leaky cavities, V-type and $\Lambda $-typ…

Density matrixPhysicsQuantum PhysicsHIlbert-Schmidt speedFOS: Physical sciencesType (model theory)non-Markovianity01 natural sciencesNoise (electronics)Settore FIS/03 - Fisica Della Materia010305 fluids & plasmassymbols.namesakePauli exclusion principleOpen quantum systemQubitQuantum mechanics0103 physical sciencessymbolsDissipative systemQuditQubitSensitivity (control systems)Quantum Physics (quant-ph)010306 general physicsQuantumPhysical Review A
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