Search results for "Physics - Geophysics"

showing 6 items of 26 documents

Energy oscillations and a possible route to chaos in a modified Riga dynamo

2010

Starting from the present version of the Riga dynamo experiment with its rotating magnetic eigenfield dominated by a single frequency we ask for those modifications of this set-up that would allow for a non-trivial magnetic field behaviour in the saturation regime. Assuming an increased ratio of azimuthal to axial flow velocity, we obtain energy oscillations with a frequency below the eigenfrequency of the magnetic field. These new oscillations are identified as magneto-inertial waves that result from a slight imbalance of Lorentz and inertial forces. Increasing the azimuthal velocity further, or increasing the total magnetic Reynolds number, we find transitions to a chaotic behaviour of th…

PhysicsEarth and Planetary Astrophysics (astro-ph.EP)Lorentz transformationChaoticFluid Dynamics (physics.flu-dyn)Magnetic Reynolds numberFOS: Physical sciencesAstronomy and AstrophysicsPhysics - Fluid DynamicsPhysics - Plasma PhysicsMagnetic fieldGeophysics (physics.geo-ph)Plasma Physics (physics.plasm-ph)Physics::Fluid DynamicsPhysics - Geophysicssymbols.namesakeAxial compressorSpace and Planetary ScienceQuantum electrodynamicsFictitious forcesymbolsSaturation (magnetic)DynamoAstrophysics - Earth and Planetary Astrophysics
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Influence of electromagnetic boundary conditions onto the onset of dynamo action in laboratory experiments

2009

We study the onset of dynamo action of the Riga and Karlsruhe experiments with the addition of an external wall, the electro-magnetic properties of which being different from those of the fluid in motion. We consider a wall of different thickness, conductivity and permeability. We also consider the case of a ferro-fluid in motion.

PhysicsFerrofluid[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Mechanics of the fluids [physics.class-ph][SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]Fluid Dynamics (physics.flu-dyn)FOS: Physical sciences[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]Physics - Fluid DynamicsConductivity01 natural sciences010305 fluids & plasmas[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]Physics::GeophysicsGeophysics (physics.geo-ph)Physics - GeophysicsPhysics::Fluid DynamicsClassical mechanicsPermeability (electromagnetism)0103 physical sciencesBoundary value problem[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]010306 general physicsDynamo
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Geotomography with solar and supernova neutrinos

2005

We show how by studying the Earth matter effect on oscillations of solar and supernova neutrinos inside the Earth one can in principle reconstruct the electron number density profile of the Earth. A direct inversion of the oscillation problem is possible due to the existence of a very simple analytic formula for the Earth matter effect on oscillations of solar and supernova neutrinos. From the point of view of the Earth tomography, these oscillations have a number of advantages over the oscillations of the accelerator or atmospheric neutrinos, which stem from the fact that solar and supernova neutrinos are coming to the Earth as mass eigenstates rather than flavour eigenstates. In particula…

PhysicsNuclear and High Energy PhysicsParticle physicsOscillationAstrophysics::High Energy Astrophysical PhenomenaAstrophysics (astro-ph)Electron numberFísicaFOS: Physical sciencesInversion (meteorology)AstrophysicsAstrophysicsHigh Energy Physics - ExperimentGeophysics (physics.geo-ph)Physics::GeophysicsPhysics - GeophysicsHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)SupernovaHigh Energy Physics - Phenomenology (hep-ph)Physics::Space PhysicsAstrophysics::Earth and Planetary AstrophysicsNeutrinoJournal of High Energy Physics
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Deep Gaussian Processes for Geophysical Parameter Retrieval

2018

This paper introduces deep Gaussian processes (DGPs) for geophysical parameter retrieval. Unlike the standard full GP model, the DGP accounts for complicated (modular, hierarchical) processes, provides an efficient solution that scales well to large datasets, and improves prediction accuracy over standard full and sparse GP models. We give empirical evidence of performance for estimation of surface dew point temperature from infrared sounding data.

Surface (mathematics)Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciences02 engineering and technologyAtmospheric model01 natural sciencesStatistics - ApplicationsMachine Learning (cs.LG)Physics - Geophysicssymbols.namesakeKernel (linear algebra)FOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryGeophysics (physics.geo-ph)Depth soundingDew pointsymbolsGlobal Positioning SystembusinessAlgorithmIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Persistence in complex systems

2022

Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and uses different techniques, depending on whether short-term or long-term persistence is considered. In this paper we discuss the most important definitions, concepts, methods, literature and latest results on persistence in complex systems. Firstly, the most used definitions of persistence in short-term and long-term cases are presented. The most relevant methods to characterize persistence are then discussed in both cases. A complete literature r…

fractal dimensionFOS: Computer and information sciencesComplex systemsRenewable energyglobal solar-radiationsystems' statesComplex networksGeneral Physics and AstronomyFOS: Physical scienceslong-term and short-term methodsadaptationzero-temperature dynamicsDynamical Systems (math.DS)Physics - GeophysicsneurosciencememoryMethodology (stat.ME)PersistenceOptimization and planningMemoryMachine learningearthquake magnitude seriesFOS: MathematicsAtmosphere and climateMathematics - Dynamical SystemsAdaptationcomplex systemslow-visibility eventstime-seriesStatistics - Methodologyinflation persistenceLong-term and short-term methodsdetrended fluctuation analysislong-range correlationspersistencecomplex networksSystems’ statesEconomyneural networksrenewable energyGeophysics (physics.geo-ph)atmosphere and climateeconomymachine learningoptimization and planningNeural networkswind-speedNeuroscience
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Using 81Kr and Noble Gases to Characterize and Date Groundwater and Brines in the Baltic Artesian Basin on the One-Million-Year Timescale

2017

Analyses for $^{81}$Kr and noble gases on groundwater from the deepest aquifer system of the Baltic Artesian Basin (BAB) were performed to determine groundwater ages and uncover the flow dynamics of the system on a timescale of several hundred thousand years. We find that the system is controlled by mixing of three distinct water masses: Interglacial or recent meteoric water $(\delta^{18}\text{O} \approx -10.4\unicode{x2030})$ with a poorly evolved chemical and noble gas signature, glacial meltwater $(\delta^{18}\text{O} \leq -18\unicode{x2030})$ with elevated noble gas concentrations, and an old, high-salinity brine component $(\delta^{18}\text{O} \geq -4.5\unicode{x2030}, \geq 90 \text{g …

geographyWater massgeography.geographical_feature_category010504 meteorology & atmospheric sciences530 PhysicsGeochemistryFOS: Physical sciencesNoble gasAquifer010502 geochemistry & geophysics01 natural sciencesGeophysics (physics.geo-ph)Physics - GeophysicsGeochemistry and Petrology550 Earth sciences & geologyInterglacialMeteoric waterGlacial periodMeltwaterGeomorphologyGeologyGroundwater0105 earth and related environmental sciences
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