Search results for "Matrix"

showing 10 items of 3205 documents

The tensor of interaction of a two-level system with an arbitrary strain field

2007

The interaction between two-level systems (TLS) and strain fields in a solid is contained in the diagonal matrix element of the interaction hamiltonian, $\delta$, which, in general, has the expression $\delta=2[\gamma]:[S]$, with the tensor $[\gamma]$ describing the TLS ``deformability'' and $[S]$ being the symmetric strain tensor. We construct $[\gamma]$ on very general grounds, by associating to the TLS two objects: a direction, $\hat\bt$, and a forth rank tensor of coupling constants, $[[R]]$. Based on the method of construction and on the invariance of the expression of $\delta$ with respect to the symmetry transformation of the solid, we conclude that $[[R]]$ has the same structure as …

Coupling constantPhysicsHistoryCondensed Matter - Materials SciencePhononIsotropyInfinitesimal strain theoryMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksPolarization (waves)Computer Science ApplicationsEducationsymbols.namesakeQuantum mechanicsDiagonal matrixPerpendicularsymbolsHamiltonian (quantum mechanics)
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Mesonic enhancement of the weak axial charge and its effect on the half-lives and spectral shapes of first-forbidden J+↔J− decays

2018

The effects of the enhancement of the axial-charge matrix element γ5 were studied in medium heavy and heavy nuclei for first-forbidden J+↔J− decay transitions using the nuclear shell model. Noticeable dependence on the enhancement ϵMEC of the axial-charge matrix element, as well as on the value of the axial-vector coupling constant gA was found in the spectral shapes of $^{93}$Y, $^{95}$Sr, and $^{97}$Y. The importance of the spectrum of $^{138}$Cs in the determination of gA is discussed. Half-life analyses in the A≈95 and A≈135 regions were done, and consistent results gA≈0.90, 0.75, and 0.65, corresponding to the three enhancement scenarios ϵMEC=1.4, 1.7, and 2.0, were obtained. Connectio…

Coupling constantPhysicsNuclear and High Energy PhysicsSpectral shape analysista114010308 nuclear & particles physicsSpectrum (functional analysis)forbidden beta decaysNuclear shell modelCharge (physics)01 natural scienceslcsh:QC1-999nuclear medium effectsspectral shapemeson-exchange currents0103 physical sciencesweak interactionsMatrix elementAtomic physicsAnomaly (physics)ydinfysiikka010306 general physicslcsh:PhysicsPhysics Letters B
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Extracting information on the decays from the decays

2005

Abstract We have analyzed the relation between the two-neutrino ( 2 ν β β ) and neutrinoless ( 0 ν β β ) double beta decays of 76Ge, 82Se, 100Mo, and 116Cd. The relevant nuclear matrix elements have been calculated by using the proton–neutron quasiparticle random-phase approximation (pn-QRPA) with realistic two-body interactions. The dependence of the calculated matrix elements on the strength g pp of the particle–particle part of the proton–neutron two-body interaction is investigated. Recently a procedure was proposed where data on 2 ν β β -decay half-lives could be used to derive appropriate values of g pp for calculating the 0 ν β β -decay matrix elements. Following this procedure, we h…

Coupling constantPhysicsNuclear physicsNuclear and High Energy PhysicsMatrix (mathematics)Particle physicsDouble beta decayQuasiparticleObservableBeta (velocity)Nuclear Physics A
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Nuclear matrix elements for Majoron emitting double-$\beta$ decay

2021

A complete calculation of the nuclear matrix elements (NMEs) for Majoron emitting neutrinoless double beta decay within the framework of IBM-2 for spectral indices $n=1,3,7$ is presented. By combining the results of this calculation with previously calculated phase-space factors (PSFs) we give predictions for expected half-lives. By comparing with experimental limits on the half-lives we set limits on the coupling constants $\ensuremath{\langle}{g}_{ee}^{M}\ensuremath{\rangle}$ of all proposed Majoron-emitting models.

Coupling constantPhysicsParticle physicsNuclear Theory010308 nuclear & particles physicsDouble beta decay0103 physical sciences010306 general physicsNuclear matrix01 natural sciencesNuclear theoryMajoron
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Macroscopic and microscopic study of the planar vibrational mode coupling

1999

We investigate the planar vibrational modes (PVMs) of a structure consisting of two parallel slabs of a strange atom (X) inserted in a matrix of a binary material (AB). The study of the coupling of the PVMs has been undertaken with two different approaches. In the first model, the structure is described from a macroscopic point of view, characterizing the physical properties of the constitutive materials by their layer densities, dielectric constants and strain tensors. Adequate boundary conditions are imposed at the material interfaces to obtain the vibrational modes of the structure. In the second model, the study of the planar modes is undertaken from a microscopic point of view, by usin…

CouplingMatrix (mathematics)PlanarClassical mechanicsChemistryMolecular vibrationMode couplingAtomBoundary value problemDielectricCondensed Matter PhysicsMolecular physicsElectronic Optical and Magnetic Materials
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Anomalous Coulomb matrix elements in thef7/2shell

2003

γ decays from high-spin states in the N=Z-1 nucleus 2753Co26 have been identified for the first time. Level energies and Coulomb energy differences between these states and their analogs in its mirror nucleus 53Fe have been compared with large-scale pf shell-model calculations, which offer excellent agreement. New information has been obtained on two-proton Coulomb matrix elements needed in the interpretation. These have been extracted from the data via a number of methods and are shown to exhibit an anomalous behavior for the J=2 coupling.

CouplingPhysicsNuclear and High Energy PhysicsMatrix (mathematics)medicine.anatomical_structureElectric potential energyCoulombShell (structure)medicineAnomalous behaviorAtomic physicsNucleusInterpretation (model theory)Physical Review C
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Sparse model-based network inference using Gaussian graphical models

2010

We consider the problem of estimating a sparse dynamic Gaussian graphical model with L1 penalized maximum likelihood of structured precision matrix. The structure can consist of specific time dynamics, known presence or absence of links in the graphical model or equality constraints on the parameters. The model is defined on the basis of partial correlations, which results in a specific class precision matrices. A priori L1 penalized maximum likelihood estimation in this class is extremely difficult, because of the above mentioned constraints, the computational complexity of the L1 constraint on the side of the usual positive-definite constraint. The implementation is non-trivial, but we sh…

Covariance SelectionGaussian Graphical ModelStructured Correlation MatrixPenalized likelihoodLassoSDPT3 Algorithm
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Ray-Space-Based Multichannel Nonnegative Matrix Factorization for Audio Source Separation

2021

Nonnegative matrix factorization (NMF) has been traditionally considered a promising approach for audio source separation. While standard NMF is only suited for single-channel mixtures, extensions to consider multi-channel data have been also proposed. Among the most popular alternatives, multichannel NMF (MNMF) and further derivations based on constrained spatial covariance models have been successfully employed to separate multi-microphone convolutive mixtures. This letter proposes a MNMF extension by considering a mixture model with Ray-Space-transformed signals, where magnitude data successfully encodes source locations as frequency-independent linear patterns. We show that the MNMF alg…

Covariance functionComputer scienceApplied Mathematics020206 networking & telecommunications02 engineering and technologyExtension (predicate logic)Mixture modelMatrix decompositionNon-negative matrix factorizationTime–frequency analysisblind source separationSignal Processing0202 electrical engineering electronic engineering information engineeringSource separationNon -negative matrix factorization (NMF)array signal processingElectrical and Electronic EngineeringAlgorithmIEEE Signal Processing Letters
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The impact of feature extraction on the performance of a classifier : kNN, Naïve Bayes and C4.5

2005

"The curse of dimensionality" is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and the classification error in high dimensions. In this paper, different feature extraction techniques as means of (1) dimensionality reduction, and (2) constructive induction are analyzed with respect to the performance of a classifier. Three commonly used classifiers are taken for the analysis: kNN, Naïve Bayes and C4.5 decision tree. One of the main goals of this paper is to show the importance of the use of class information in feature extraction for classification and (in)appropriateness of random projection or conventional PCA to feature extraction for …

Covariance matrixComputer sciencebusiness.industryRandom projectionDimensionality reductionFeature extractionLinear classifierPattern recognitionMachine learningcomputer.software_genreNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONPrincipal component analysisArtificial intelligencebusinesscomputerCurse of dimensionalityAdvances in artificial intelligence : 18th conference of the canadian society for computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005 : proceedings
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Vector anisotropic filter for multispectral image denoising

2015

In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix transform for noise covariance matrix estimation. Specifically we show that if an image has a low local variability, we can make the assumption that in the noisy image, the local variability originates from the noise variance only. We apply the proposed approach for the denoising of multispectral images corrupted by noise and compare the proposed method with some existing methods. Results demonstrate an improvement in the denoising performance.

Covariance matrixbusiness.industryNoise reductionMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionNon-local meansNoisesymbols.namesakeGaussian noiseComputer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionVideo denoisingArtificial intelligencebusinessMathematicsAnisotropic filteringTwelfth International Conference on Quality Control by Artificial Vision 2015
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