Search results for "SPECTRA"

showing 10 items of 3542 documents

In-beam study of the 128, 130Xe nuclei

1981

Abstract The level structure of 128,130Xe has been studied in the (α, 2nγ) and (3He, 3nγ) reactions on enriched Te targets using in-beam γ-ray spectroscopic methods. For both nuclei the existing information about positive-parity level structure was enriched and many new negative-parity two-quasiparticle states were observed. Isomeric states with the half-lives of 63 ± 12 ns in 128 Xe and 4.8 ± 0.5 ns in 130 Xe were found. For collective positive-parity states the interacting boson model, and calculations based on Bohr hamiltonian were compared with the experimental data.

Nuclear reactionPhysicsNuclear and High Energy Physicssymbols.namesakesymbolsIsotopes of xenonLevel structureInteracting boson modelAtomic physicsHamiltonian (quantum mechanics)Radioactive decaySpectral lineBohr modelNuclear Physics A
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Semilinear Robin problems driven by the Laplacian plus an indefinite potential

2019

We study a semilinear Robin problem driven by the Laplacian plus an indefinite potential. We consider the case where the reaction term f is a Carathéodory function exhibiting linear growth near ±∞. So, we establish the existence of at least two solutions, by using the Lyapunov-Schmidt reduction method together with variational tools.

Numerical AnalysisApplied Mathematics010102 general mathematicsFunction (mathematics)Mathematics::Spectral Theory01 natural sciencesTerm (time)010101 applied mathematicsComputational MathematicsSettore MAT/05 - Analisi MatematicaApplied mathematicsLyapunov-Schmidt reduction methodindefinite potential0101 mathematicsCarathéodory reactionLinear growthSemilinear Robin problemLaplace operatorAnalysisMathematicsComplex Variables and Elliptic Equations
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Generalized differential transform method for nonlinear boundary value problem of fractional order

2015

Abstract In this paper the generalized differential transform method is applied to obtain an approximate solution of linear and nonlinear differential equation of fractional order with boundary conditions. Several numerical examples are considered and comparisons with the existing solution techniques are reported. Results show that the method is effective, easier to implement and very accurate when applied for the solution of fractional boundary values problems.

Numerical AnalysisApplied MathematicsMathematical analysisOrder of accuracyFractional derivativeMixed boundary conditionFractional calculusSplit-step methodModeling and SimulationGeneralized differential transformFree boundary problemCauchy boundary conditionBoundary value problemSpectral methodBoundary value problemNonlinear differential equationMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Matrices A such that A^{s+1}R = RA* with R^k = I

2018

[EN] We study matrices A is an element of C-n x n such that A(s+1)R = RA* where R-k = I-n, and s, k are nonnegative integers with k >= 2; such matrices are called {R, s+1, k, *}-potent matrices. The s = 0 case corresponds to matrices such that A = RA* R-1 with R-k = I-n, and is studied using spectral properties of the matrix R. For s >= 1, various characterizations of the class of {R, s + 1, k, *}-potent matrices and relationships between these matrices and other classes of matrices are presented. (C) 2018 Elsevier Inc. All rights reserved.

Numerical AnalysisClass (set theory)Algebra and Number TheorySpectral properties0211 other engineering and technologies021107 urban & regional planning010103 numerical & computational mathematics02 engineering and technologyMatrius (Matemàtica)01 natural sciencesCombinatoricsMatrix (mathematics)Discrete Mathematics and CombinatoricsGeometry and Topology0101 mathematicsÀlgebra linealMATEMATICA APLICADA{R s+1 k *}-potent matrixK-involutoryMathematics
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Controllability method for the Helmholtz equation with higher-order discretizations

2007

We consider a controllability technique for the numerical solution of the Helmholtz equation. The original time-harmonic equation is represented as an exact controllability problem for the time-dependent wave equation. This problem is then formulated as a least-squares optimization problem, which is solved by the conjugate gradient method. Such an approach was first suggested and developed in the 1990s by French researchers and we introduce some improvements to its practical realization. We use higher-order spectral elements for spatial discretization, which leads to high accuracy and lumped mass matrices. Higher-order approximation reduces the pollution effect associated with finite elemen…

Numerical AnalysisPartial differential equationPhysics and Astronomy (miscellaneous)Helmholtz equationApplied MathematicsMathematical analysisSpectral element methodFinite element methodComputer Science ApplicationsControllabilityakustinen sirontaComputational MathematicsMultigrid methodModeling and SimulationConjugate gradient methodSpectral methodMathematicsJournal of Computational Physics
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Time-harmonic elasticity with controllability and higher-order discretization methods

2008

The time-harmonic solution of the linear elastic wave equation is needed for a variety of applications. The typical procedure for solving the time-harmonic elastic wave equation leads to difficulties solving large-scale indefinite linear systems. To avoid these difficulties, we consider the original time dependent equation with a method based on an exact controllability formulation. The main idea of this approach is to find initial conditions such that after one time-period, the solution and its time derivative coincide with the initial conditions.The wave equation is discretized in the space domain with spectral elements. The degrees of freedom associated with the basis functions are situa…

Numerical AnalysisPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysisLinear systemWave equationComputer Science ApplicationsControllabilityComputational Mathematicssymbols.namesakeModeling and SimulationDiagonal matrixTime derivativesymbolsGaussian quadratureSpectral methodMathematics
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Multimode OPOs as Sources for Multipartite Entanglement

2009

We present here multimode OPOs as a source of multimode squeezing and multipartite entanglement of continuous-wave light beams, with applications to the engineering of multimode states of light in the spatial and spectral domains.

OPOSPhysicsQuantum opticsMulti-mode optical fiberInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)business.industryComputer Science::Human-Computer InteractionQuantum PhysicsQuantum entanglementMultipartite entanglementOpticsComputerApplications_MISCELLANEOUSQuantum mechanicsLight beamSpectral analysisbusinessOptical filterConference on Lasers and Electro-Optics/International Quantum Electronics Conference
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Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours—A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and …

2022

Several optical imaging techniques have been developed to ease the burden of skin cancer disease on our health care system. Hyperspectral images can be used to identify biological tissues by their diffuse reflected spectra. In this second part of a three-phase pilot study, we used a novel hand-held SICSURFIS Spectral Imager with an adaptable field of view and target-wise selectable wavelength channels to provide detailed spectral and spatial data for lesions on complex surfaces. The hyperspectral images (33 wavelengths, 477–891 nm) provided photometric data through individually controlled illumination modules, enabling convolutional networks to utilise spectral, spatial, and skin-surface mo…

OPTICAL COHERENCE TOMOGRAPHYskin cancerhyperspectral imagingskin imagingphotometric stereoMELANOMAGeneral Medicineneuroverkotdiagnostiikkabiomedical optical imagingnon-invasive imagingDIAGNOSISCANCERoptical modellingkarsinoomatCLASSIFICATIONihosyöpäkoneoppiminenSDG 3 - Good Health and Well-beingbiomedical optical imaging; convolutional neural networks; hyperspectral imaging; non-invasive imaging; optical modelling; photometric stereo; skin cancer; skin imaging3121 General medicine internal medicine and other clinical medicineconvolutional neural networks/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingmelanoomahyperspektrikuvantaminen
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Influence of solar and sensor angles on chlorophyll estimation for geostationary ocean color imager

2012

The impact of the solar and sensor angles on band-ratio chlorophyll concentration (Chl) estimation in Case 1 waters (open ocean) is analyzed in this work. The error range of Chl estimation due to angular variation is evaluated. The radiative transfer code Hydrolight is used for remote sensing reflectance simulation for 20 spectral bands. OC4v4 algorithm is used for Chl estimation. The results indicate that the error range of Chl estimation is between -41.91% and +46.15% when Chl range is from 0.0425 mg/m 3 to 10.6685 mg/m 3 and the solar and sensor zenith angles vary between 0 and 80°. This study provides a reference to determine the effective observation area of a future multispectral or h…

Ocean colorMultispectral imageGeostationary orbitRadiative transferHyperspectral imagingEnvironmental scienceSpectral bands[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGeostationary Ocean Color ImagerZenithComputingMilieux_MISCELLANEOUS[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/OceanographyRemote sensing
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RADIOMETRIC CALIBRATION OF A MULTISPECTRAL CAMERA

2006

We describe in detail a method for calibrating a multispectral imaging system based on interference filters. The calibration aims to remove systematic noises introduced by the sensor, and optic and/or filters from multispectral images. After which, we can correct the non-linearity of the sensor response. Systematic noises are measured through a rigorous protocol for acquiring offset, and thermal, and Flat-Field images. The methods for acquiring Flat-Field image, and linearizing sensor response are novel and particularly efficient in the case of a multispectral imaging system. Indeed, in such a system, the reconstruction of a spectrum for each pixel comes from the set of values taken by this…

Offset (computer science)Pixelbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInverse problemMultispectral pattern recognitionComputer Science::Computer Vision and Pattern RecognitionCalibrationComputer visionArtificial intelligencebusinessRadiometric calibrationRemote sensing
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