Search results for "Numerical"

showing 10 items of 2002 documents

Constraining the pass-band of future space-based coronagraphs for observations of solar eruptions in the FeXIV 530.3 nm “green line”

2017

This research has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 647214) and from the UK Science and Technology Facilities Council. Observations of the solar corona in the FeXIV 530.3 nm “green line” have been very important in the past, and are planned for future coronagraphs on-board forthcoming space missions such as PROBA-3 and Aditya. For these instruments, a very important parameter to be optimized is the spectral width of the band-pass filter to be centred over the “green line”. Focusing on solar eruptions, motions occurring along the line of sight will Doppler shift the line prof…

coronal mass ejections [Sun]corona [Sun]media_common.quotation_subjectAstrophysics01 natural sciences010309 opticssymbols.namesakeSuperposition principle0103 physical sciencesSpectral widthQB AstronomySun: Coronal mass ejections010303 astronomy & astrophysicsQCmedia_commonLine (formation)Spectral purityQBPhysicsLine-of-sightnumerical [Methods]Sun: CoronaAstronomyInstrumentation: CoronagraphsAstronomy and AstrophysicsDASQC Physics13. Climate actionSkySpace and Planetary Sciencecoronagraphs [Instrumentation]Methods: NumericalsymbolsMagnetohydrodynamicsDoppler effectExperimental Astronomy
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Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments

2020

The current and upcoming generation of Very Large Volume Neutrino Telescopes – collecting unprecedented quantities of neutrino events – can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as M…

data analysis methodNuclear and High Energy PhysicsMonte Carlo methodFVLV nu TData analysis; Detector; KDE; MC; Monte Carlo; Neutrino; Neutrino mass ordering; Smoothing; Statistics; VLVνTData analysisKDEFOS: Physical sciences01 natural sciencesIceCubeHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)statistical analysisnumerical methods0103 physical sciencesStatisticsNeutrinoddc:530Sensitivity (control systems)MC010306 general physicsNeutrino oscillationInstrumentation and Methods for Astrophysics (astro-ph.IM)InstrumentationMonte CarloPhysicsVLVνT010308 nuclear & particles physicsOscillationStatisticsoscillation [neutrino]ObservableDetectorMonte Carlo [numerical calculations]WeightingNeutrino mass orderingPhysics and AstronomyPhysics - Data Analysis Statistics and ProbabilityPhysique des particules élémentairesNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsMATTERData Analysis Statistics and Probability (physics.data-an)SmoothingSmoothing
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Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides and self-spin effects

2018

We present TEOBResumS, a new effective-one-body (EOB) waveform model for nonprecessing (spin-aligned) and tidally interacting compact binaries.Spin-orbit and spin-spin effects are blended together by making use of the concept of centrifugal EOB radius. The point-mass sector through merger and ringdown is informed by numerical relativity (NR) simulations of binary black holes (BBH) computed with the SpEC and BAM codes. An improved, NR-based phenomenological description of the postmerger waveform is developed.The tidal sector of TEOBResumS describes the dynamics of neutron star binaries up to merger and incorporates a resummed attractive potential motivated by recent advances in the post-Newt…

data analysis methodneutron star: binaryGravitational waves effective-one-bodyAstronomyBinary numberFOS: Physical sciencesalternative theories of gravityGeneral Relativity and Quantum Cosmology (gr-qc)Parameter spacegravitational radiation: direct detection01 natural sciencesGeneral Relativity and Quantum CosmologyNumerical studies of other relativistic binaries; Neutron stars; black holes (astrophysics); Gravitational wavesNeutron starsGravitational wavesGravitationBinary black holebinary: coalescence0103 physical sciencesnumerical methodsblack holes (astrophysics)010306 general physicsGeneral Relativity and Quantum Cosmology; General Relativity and Quantum Cosmologyequation of statePhysics010308 nuclear & particles physicsNumerical studies of other relativistic binarieshigher-order: 0spin: effectGravitational Waves analytical template modeling LIGO Virgo numerical relativity Neutron Stars parameter estimationRadiusbinary: compactLIGOgravitational radiation detectorComputational physicsFIS/02 - FISICA TEORICA MODELLI E METODI MATEMATICIdetector: sensitivityNeutron starNumerical relativityblack hole: binaryGeneral relativityrelativity theorygravitation: self-force[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]effective-one-body
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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

2019

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed

data-driven optimizationMathematical optimizationOptimization problemComputer scienceboreal forest managementComputer Science::Neural and Evolutionary Computationpäätöksenteko0211 other engineering and technologiesMathematicsofComputing_NUMERICALANALYSISdecision maker02 engineering and technologypreference informationSpace (commercial competition)Multi-objective optimizationComputingMethodologies_ARTIFICIALINTELLIGENCEData-drivenklusteritoptimointi0202 electrical engineering electronic engineering information engineeringCluster analysis021103 operations researchsurrogatesComputingMethodologies_PATTERNRECOGNITIONboreaalinen vyöhyke020201 artificial intelligence & image processingmetsänhoitoCluster basedclustering
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New degrees of freedom for differential forms on cubical meshes

2022

We consider new degrees of freedom for higher order differential forms on cubical meshes. The approach is inspired by the idea of Rapetti and Bossavit to define higher order Whitney forms and their degrees of freedom using small simplices. We show that higher order differential forms on cubical meshes can be defined analogously using small cubes and prove that these small cubes yield unisolvent degrees of freedom. Significantly, this approach is compatible with discrete exterior calculus and expands the framework to cover higher order methods on cubical meshes, complementing the earlier strategy based on simplices.

degrees of freedomFOS: Mathematicscochainsdifferential formsMathematics - Numerical AnalysisNumerical Analysis (math.NA)differentiaalilaskentacubical meshdiscrete exterior calculus
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Robust delay-dependent H∞ control of uncertain time-delay systems with mixed neutral, discrete, and distributed time-delays and Markovian switching p…

2011

Author's version of an article published in the journal: IEEE Transactions on Circuits and Systems I: Regular Papers. Also available from the publisher at: http://dx.doi.org/10.1109/tcsi.2011.2106090 The problem of robust mode-dependent delayed state feedback H ∞ control is investigated for a class of uncertain time-delay systems with Markovian switching parameters and mixed discrete, neutral, and distributed delays. Based on the LyapunovKrasovskii functional theory, new required sufficient conditions are established in terms of delay-dependent linear matrix inequalities for the stochastic stability and stabilization of the considered system using some free matrices. The desired control is …

delay systems H∞ control linear matrix inequalities Markov processes uncertain systems delay-dependent delayed state feedback distributed delays Lyapunov-Krasovskii functionals Markovian switching numerical example Stochastic stability and stabilization sufficient conditions uncertain time-delay system control system stability convex optimization delay control systems stabilization state feedback switching systems time delay uncertainty analysis discrete time control systemsVDP::Technology: 500::Mechanical engineering: 570VDP::Mathematics and natural science: 400::Mathematics: 410
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Experimental study of $^{100}$Tc $\beta$ decay with total absorption $\gamma$-ray spectroscopy

2017

International audience; The β decay of Tc100 has been studied by using the total absorption γ-ray spectroscopy technique at the Ion Guide Isotope Separator On-Line facility in Jyväskylä. In this work the new Decay Total Absorption γ-ray Spectrometer in coincidence with a cylindrical plastic β detector has been employed. The β intensity to the ground state obtained from the analysis is in good agreement with previous high-resolution measurements. However, differences in the feeding to the first-excited state as well as weak feeding to a new level at high excitation energy have been deduced from this experiment. Theoretical calculations performed in the quasiparticle random-phase approximatio…

densitymolybdenum: double-beta decayexcited state: energytotal-absorption counterrandom phase approximation: quasiparticletechnetium: semileptonic decay[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]benchmarkefficiencygamma rayground statespectrometerbranching ratio[ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]numerical calculationsphononrutheniumMonte Carloexperimental results
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Approximate Taylor methods for ODEs

2017

Abstract A new method for the numerical solution of ODEs is presented. This approach is based on an approximate formulation of the Taylor methods that has a much easier implementation than the original Taylor methods, since only the functions in the ODEs, and not their derivatives, are needed, just as in classical Runge–Kutta schemes. Compared to Runge–Kutta methods, the number of function evaluations to achieve a given order is higher, however with the present procedure it is much easier to produce arbitrary high-order schemes, which may be important in some applications. In many cases the new approach leads to an asymptotically lower computational cost when compared to the Taylor expansio…

di Bruno's formulaODE integratorsGeneral Computer ScienceTaylor methodsComputer Science (all)MathematicsofComputing_NUMERICALANALYSISGeneral EngineeringOde010103 numerical & computational mathematicsFunction (mathematics)Present procedure01 natural sciencesFaà di Bruno's formula; ODE integrators; Taylor methods; Computer Science (all); Engineering (all)010101 applied mathematicssymbols.namesakeEngineering (all)FaÃ&nbspTaylor seriessymbolsCalculusApplied mathematics0101 mathematicsMathematics
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Lipschitz Carnot-Carathéodory Structures and their Limits

2022

AbstractIn this paper we discuss the convergence of distances associated to converging structures of Lipschitz vector fields and continuously varying norms on a smooth manifold. We prove that, under a mild controllability assumption on the limit vector-fields structure, the distances associated to equi-Lipschitz vector-fields structures that converge uniformly on compact subsets, and to norms that converge uniformly on compact subsets, converge locally uniformly to the limit Carnot-Carathéodory distance. In the case in which the limit distance is boundedly compact, we show that the convergence of the distances is uniform on compact sets. We show an example in which the limit distance is not…

differentiaaligeometriaNumerical AnalysissäätöteoriaControl and OptimizationAlgebra and Number Theorysub-Riemannian geometryMitchell’s theoremControl and Systems Engineeringsub-Finsler geometryLipschitz vector fieldsmittateoria
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Linear Feature Extraction for Ranking

2018

We address the feature extraction problem for document ranking in information retrieval. We then propose LifeRank, a Linear feature extraction algorithm for Ranking. In LifeRank, we regard each document collection for ranking as a matrix, referred to as the original matrix. We try to optimize a transformation matrix, so that a new matrix (dataset) can be generated as the product of the original matrix and a transformation matrix. The transformation matrix projects high-dimensional document vectors into lower dimensions. Theoretically, there could be very large transformation matrices, each leading to a new generated matrix. In LifeRank, we produce a transformation matrix so that the generat…

dimension reductionComputer scienceFeature extractionMathematicsofComputing_NUMERICALANALYSISFeature selectiontiedonhakujärjestelmät02 engineering and technologyLibrary and Information SciencesRanking (information retrieval)Matrix (mathematics)Transformation matrix020204 information systemsalgoritmit0202 electrical engineering electronic engineering information engineeringtiedonhakulearning to rankbusiness.industryfeature extractionPattern recognitionkoneoppiminenPattern recognition (psychology)Benchmark (computing)020201 artificial intelligence & image processingLearning to rankArtificial intelligencebusinessInformation Systems
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