Search results for "Physics::Geophysics"

showing 10 items of 261 documents

Learning Structures in Earth Observation Data with Gaussian Processes

2020

Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian framework to formulate many function approximation problems consistently. This paper reviews the main theoretical GP developments in the field. We review new algorithms that respect the signal and noise characteristics, that provide feature rankings automatically, and that allow applicability of associated uncertainty intervals to transport GP models in space and time. All these developments are illustrated in the field of geoscience and remote sensing at a local and global scales through a set of illustrative exa…

FOS: Computer and information sciencesEarth observation010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesFOS: Physical sciencesMachine Learning (stat.ML)02 engineering and technologyApplied Physics (physics.app-ph)computer.software_genre01 natural sciencesField (computer science)Physics::GeophysicsSet (abstract data type)Physics - Geophysicssymbols.namesakeStatistics - Machine LearningFeature (machine learning)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryPhysics - Applied PhysicsGeophysics (physics.geo-ph)Function approximationsymbolsGlobal Positioning SystemNoise (video)Data miningbusinesscomputer
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Seismically induced, non-stationary hydrodynamic pressure in a dam-reservoir system

2003

Stochastic seismic analysis of hydrodynamic pressure in a dam-reservoir system is presented in this paper. The analysis is conducted assuming infinite reservoir compressible fluid and modeling seismic acceleration as a normal zero-mean stochastic process obtained by Penzien filter. The non-homogeneous boundary conditions associated to the problem have been incorporated into the equation of pressure wave scattering in the form of a forcing function turning the non-homogeneous boundary value problem into an homogeneous one. Solution obtained via modal analysis in time-domain is coupled with the use of classical Ito stochastic differential calculus to characterize the stochastic hydrodynamic p…

Field (physics)Stochastic processModal analysisMechanical EngineeringAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsMechanicsCondensed Matter PhysicsCompressible flowPhysics::GeophysicsSeismic analysisAccelerationFilter (large eddy simulation)Nuclear Energy and EngineeringGeotechnical engineeringBoundary value problemGeologyCivil and Structural EngineeringProbabilistic Engineering Mechanics
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Simultaneous seismic wave clustering and registration

2012

In this paper we introduce a simple procedure to identify clusters of multivariate waveforms based on a simultaneous assignation and alignment procedure. This approach is aimed at the identification of clusters of earthquakes, assuming that similarities between seismic events with respect to hypocentral parameters and focal mechanism correspond to similarities between waveforms of events. Therefore we define a distance measure between seismic curves in R^d d>=1, in order to interpret and better understand the main features of the generating seismic process.

Focal mechanismMultivariate statisticsComputer sciencebusiness.industryFunctional clusteringCurve registration Waveform Palermo aftershocks sequenceProcess (computing)Pattern recognitionMeasure (mathematics)Seismic wavePhysics::GeophysicsIdentification (information)WaveformArtificial intelligenceComputers in Earth SciencesCluster analysisbusinessSettore SECS-S/01 - StatisticaSeismologyInformation Systems
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A New Dissimilarity Measure for Clustering Seismic Signals

2011

Hypocenter and focal mechanism of an earthquake can be determined by the analysis of signals, named waveforms, related to the wave field produced and recorded by a seismic network. Assuming that waveform similarity implies the similarity of focal parameters, the analysis of those signals characterized by very similar shapes can be used to give important details about the physical phenomena which have generated an earthquake. Recent works have shown the effectiveness of cross-correlation and/or cross-spectral dissimilarities to identify clusters of seismic events. In this work we propose a new dissimilarity measure between seismic signals whose reliability has been tested on real seismic dat…

Focal mechanismSimilarity (geometry)Cross-correlationHypocenterSettore INF/01 - InformaticaComputer sciencebusiness.industryHomogeneity (statistics)Pattern recognitioncomputer.software_genreMeasure (mathematics)Physics::GeophysicsSettore GEO/11 - Geofisica ApplicataWaveformArtificial intelligenceData miningbusinessCluster analysiscomputerDissimilarity measure Clustering Seismic Signals
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Test of the electric charge conservation law with Borexino detector

2015

International audience; The new limit on the electron lifetime is obtained from data of the Borexino experiment. The expected signal from the e → γν decay mode is a 256 keV photon detected in liquid scintillator. Because of the extremely low radioactive background level in the Borexino detector it was possible to improve the previous measurement by two orders of magnitude.

GRAN SASSOelectron --> photon neutrinoHistoryPhysics::Instrumentation and Detectorsscintillation counter: liquidElectronScintillator01 natural sciencesParticle detectorPhysics::GeophysicsEducationNuclear physicsSCINTILLATORPhysics and Astronomy (all)background: low0103 physical sciencescharge: conservation law[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]ddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010303 astronomy & astrophysicsBorexinolifetimePhysicsCharge conservationSTABILITY010308 nuclear & particles physicsDetectorEXPERIMENTAL LIMITSComputer Science ApplicationsNeutrino detectorelectron: lifetimeBorexinoNeutrinoDECAYJournal of Physics: Conference Series
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MAGEMin 1.0.0

2022

MAGEMin is a Gibbs energy minimization solver package, which computes the thermodynamically most stable assemblage for a given bulk rock composition and pressure/temperature condition. It also returns parameters such as melt fraction or density, which can be combined with geodynamic/petrological tools to simulate, for example, the evolving chemistry of a crystallising melt. MAGEMin is written as a parallel C library and uses a combination of linear programming, extended Partitioning Gibbs free Energy and gradient-based local minimization to compute the most stable mineral assemblage. In this, it differs from exisisting approaches which makes it particularly suitable to utilize modern multic…

Geodyanmics couplingGibbs energy minimizerPhysics::GeophysicsIgneous stable phase prediction
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The Near Real Time Ionospheric Model of Latvia

2015

A highly accurate ionosphere model is necessary to enable a fast and reliable coordinate determination with GNSS in real time. It is a partially ionized atmospheric region ranging up to 1,000 km height, affected by spatial variations, space weather, seasonal and solar cycle dependence. New approaches and algorithms of modelling techniques are sought to provide better solutions in the territory of Latvia. Ionospheric TEC value has large differences in Western Latvia and Eastern Latvia. Actual ionospheric map should be calculated and delivered to the surveyors near real time and published on the WEB. Delivering actual map to rover GNSS devices in a field will provide the surveyors with ionosp…

GeographyGNSS applicationsTECPhysics::Space PhysicsReal-time computingGeodetic datumRangingIonosphereSpace weatherField (geography)Physics::GeophysicsSolar cycleRemote sensingIOP Conference Series: Materials Science and Engineering
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Characterisation of the magnetic iron phases in Clovis Class rocks in Gusev crater from the MER Spirit Mössbauer spectrometer

2007

Abstract Mossbauer backscattering spectra of eight Martian rocks, acquired by the MIMOS II spectrometer of Rover Spirit (MER-A) and containing goethite in addition to other iron minerals, have been selected for in-depth numerical analysis. Where feasible, different temperature windows for a given rock were considered. A novel calibration/folding procedure, exclusively based on the fitted positions of the eight prominent absorption lines in the transmission spectra of the reference target and not relying on the error signal of the MIMOS II spectrometer, has been developed. It is demonstrated that this procedure yields reliable and reasonably accurate values for the adjusted Mossbauer paramet…

GoethiteSpectrometerAnalytical chemistryMineralogyHematiteSpectral linePhysics::Geophysicschemistry.chemical_compoundchemistryGeochemistry and Petrologyvisual_artMössbauer spectroscopyvisual_art.visual_art_mediumAntiferromagnetismHyperfine structureGeologyMagnetiteGeochimica et Cosmochimica Acta
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Latvijas apvidu gravimetriskie pētījumi: [disertācija]

1938

Teksts latviešu un vācu valodā.

Gravimetriskā izpēte - LatvijaGravimetrische Forschung - LettlandGravimetric exploration:NATURAL SCIENCES::Physics::Other physics::Geophysics [Research Subject Categories]ĢeofizikaLatvijas gravimetriskā izpēte
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Modeling Volcanic Eruption Parameters by Near-Source Internal Gravity Waves

2016

AbstractVolcanic explosions release large amounts of hot gas and ash into the atmosphere to form plumes rising several kilometers above eruptive vents, which can pose serious risk on human health and aviation also at several thousands of kilometers from the volcanic source. However the most sophisticate atmospheric models and eruptive plume dynamics require input parameters such as duration of the ejection phase and total mass erupted to constrain the quantity of ash dispersed in the atmosphere and to efficiently evaluate the related hazard. The sudden ejection of this large quantity of ash can perturb the equilibrium of the whole atmosphere triggering oscillations well below the frequencie…

Gravity (chemistry)010504 meteorology & atmospheric sciencesVolcanology010502 geochemistry & geophysics01 natural sciencesArticlePhysics::GeophysicsAtmosphereEffusive eruptionNatural HazardAstrophysics::Solar and Stellar AstrophysicsGeophysicPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesgravity waves vulcanian explosions mass eruption rates montserratgeographyMultidisciplinarygeography.geographical_feature_categoryVulcanian eruptionAtmospheric modelsVolcanologyGeophysicsGeophysics; Natural Hazards; VolcanologyPlumeVolcanoPhysics::Space PhysicsAstrophysics::Earth and Planetary AstrophysicsGeologyScientific Reports
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