Search results for "normalization"

showing 10 items of 632 documents

Potential and energy of oblate spheroidal charge distributions

1989

Abstract The Poisson equation for a large class of charge distributions contained within oblate spheroids in solved and their energies are obtained. In many cases, the potential and the energy can be found by comparison with the solutions of the Poisson equation for prolate spheroidal charge distributions obtained in preceding works. The limits of validity of this comparison procedure are established. For the simplest cases the electrostatic energy is computed and, after suitable normalization, displayed graphically.

Normalization (statistics)PhysicsElectric potential energyProlate spheroidal coordinatesCondensed Matter PhysicsElectrostaticsElectric chargeSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsComputational physicsClassical mechanicsOblate spheroidElectric potentialElectrical and Electronic EngineeringPoisson's equationBiotechnologyJournal of Electrostatics
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Effects of shadowing on Drell-Yan dilepton production in high energy nuclear collisions

2001

We compute cross sections for the Drell-Yan process in nuclear collisions at next-to-leading order (NLO) in ��_s. The effects of shadowing on the normalization and on the mass and rapidity dependence of these cross sections are presented. An estimate of higher order corrections is obtained from next-to-next-to-leading order (NNLO) calculation of the rapidity-integrated mass distribution. Variations in these predictions resulting from choices of parton distribution sets are discussed. Numerical results for mass distributions at NLO are presented for RHIC and LHC energies, using appropriate rapidity intervals. The shadowing factors in the dilepton mass range 2 < M < 10 GeV are predicted…

Normalization (statistics)PhysicsNuclear and High Energy PhysicsParticle physicsHigh energyLarge Hadron ColliderMass distributionHigh Energy Physics::PhenomenologyFOS: Physical sciencesGeneral Physics and AstronomyPartonHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)RapidityHigh Energy Physics::ExperimentNuclear Experiment
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Nuclear medium modification of the structure function

2011

Abstract We study the nuclear effects in the electromagnetic structure function F 2 ( x , Q 2 ) in the deep inelastic lepton–nucleus scattering process by taking into account Fermi motion, binding, pion and rho meson cloud contributions. Calculations have been done in a local density approximation using relativistic nuclear spectral functions which include nucleon correlations. The ratios R F 2 A ( x , Q 2 ) = 2 F 2 A ( x , Q 2 ) A F 2 D ( x , Q 2 ) are obtained and compared with recent JLab results for light nuclei with special attention to the slope of the x distributions. This magnitude shows a non-trivial A dependence and it is insensitive to possible normalization uncertainties. The re…

Normalization (statistics)PhysicsNuclear and High Energy PhysicsRho meson010308 nuclear & particles physicsNuclear TheoryMagnitude (mathematics)Deep inelastic scattering7. Clean energy01 natural sciencesNuclear physicsPion0103 physical sciencesLocal-density approximationAtomic physicsNuclear Experiment010306 general physicsNucleonFermi Gamma-ray Space TelescopeNuclear Physics A
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The roughness of the last scattering surface

1999

We propose an alternative analysis of the microwave background temperature anisotropy maps that is based on the study of the roughness of natural surfaces. We apply it to large angle anisotropies, such as those measured by COBE-DMR. We show that for a large signal to noise experiment, the spectral index can be determined independently of the normalization. We then analyze the 4 yr COBE map and find for a flat $\Omega=1$ universe, that the best-fitting value for the spectral index is $n = 1.15^{+0.39}_{-0.34}$ and for the amplitude $Q_{rms-PS}= 14.1^{+3.9}_{-3.5}\mu K$. For $n=1$, the best-fitting normalization is $Q_{rms-PS}|_{n=1}= 16.2^{+1.4}_{-1.3}\mu K$.

Normalization (statistics)PhysicsSpectral indexScatteringCosmic microwave backgroundAstrophysics (astro-ph)FOS: Physical sciencesAstronomy and AstrophysicsSurface finishAstrophysicsAstrophysicsOmegaAmplitudeSpace and Planetary ScienceAtomic physicsAnisotropy
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Visual information flow in Wilson-Cowan networks.

2020

In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson-Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson-Cowan networks in terms of multivariate total correlation. The parameters of the cortical model have been derived through the relation between the steady state of the Wilson-Cowan model and the divisive normalization model. The communication efficiency has been analyzed in two ways: First, we provide an analytical expression for the reduction of the total correlation among the responses of a V1-like population after the application of the Wilson-Cowan interaction. Second, we empiri…

Normalization (statistics)PhysiologyComputer scienceComputationPopulationModels Biological050105 experimental psychologyRetina03 medical and health sciencesWilson–Cowan equations0302 clinical medicineMulti-informationtotal correlationHumans0501 psychology and cognitive sciencesVisual PathwaysEfficient coding hypothesisEfficient representation principleeducationVisual Cortexeducation.field_of_studyNormalization modelGeneral Neuroscience05 social sciencesUnivariateFOS: Biological sciencesQuantitative Biology - Neurons and CognitionDivisive normalizationVisual PerceptionNeurons and Cognition (q-bio.NC)Total correlationNeural Networks ComputerNerve NetAlgorithm030217 neurology & neurosurgeryImage compressionJournal of neurophysiology
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Rank-order and morphological enhancement of image details with an optoelectronic processor.

2010

In all-optical processors, enhancement of image details is the result of high-pass filtering. We describe an optoelectronic processor in which detail enhancement results from the digitally calculated difference between an original input image and its low-pass filtered version. The low-pass filtering is realized through the rank-order median and the morphological opening and closing operations calculated by use of the optical convolver. It is shown that the normalized difference between the morphological white and black top hats enhances bright and dark image details analogously to the rank-order unsharp masking.

Normalization (statistics)Point spread functionComputer sciencebusiness.industryMaterials Science (miscellaneous)Binary imageTop-hat transformImage processingAstrophysics::Cosmology and Extragalactic AstrophysicsFilter (signal processing)Edge enhancementIndustrial and Manufacturing EngineeringOptical transfer functionOptoelectronicsBusiness and International ManagementbusinessClosing (morphology)OpeningUnsharp maskingApplied optics
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In-depth evaluation of software tools for data-independent acquisition based label-free quantification.

2015

Label-free quantification (LFQ) based on data-independent acquisition workflows currently experiences increasing popularity. Several software tools have been recently published or are commercially available. The present study focuses on the evaluation of three different software packages (Progenesis, synapter, and ISOQuant) supporting ion mobility enhanced data-independent acquisition data. In order to benchmark the LFQ performance of the different tools, we generated two hybrid proteome samples of defined quantitative composition containing tryptically digested proteomes of three different species (mouse, yeast, Escherichia coli). This model dataset simulates complex biological samples con…

Normalization (statistics)ProteomicsProteomeComputer sciencebusiness.industrycomputer.software_genreBiochemistryMass SpectrometryPeptide FragmentsIdentifierLabel-free quantificationSoftwareIsoquantYeastsProteomeEscherichia coliHumansData-independent acquisitionData miningCluster analysisbusinessMolecular BiologycomputerSoftwareProteomics
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On Fibrations Between Internal Groupoids and Their Normalizations

2018

We characterize fibrations and $$*$$ -fibrations in the 2-category of internal groupoids in terms of the comparison functor from certain pullbacks to the corresponding strong homotopy pullbacks. As an application, we deduce the internal version of the Brown exact sequence for $$*$$ -fibrations from the internal version of the Gabriel–Zisman exact sequence. We also analyse fibrations and $$*$$ -fibrations in the category of arrows and study when the normalization functor preserves and reflects them. This analysis allows us to give a characterization of protomodular categories using strong homotopy kernels and a generalization of the Snake Lemma.

Normalization (statistics)Pure mathematicsInternal groupoid Fibration Strong h-pullback Protomodular categoryGeneral Computer ScienceFibrationSnake lemmaStrong h-pullbackMathematics::Algebraic Topology01 natural sciencesTheoretical Computer ScienceMathematics::Algebraic GeometryMathematics::K-Theory and HomologyMathematics::Category Theory0103 physical sciences0101 mathematicsMathematics::Symplectic GeometryMathematicsExact sequenceInternal groupoidAlgebra and Number TheoryFunctorHomotopy010102 general mathematicsFibrationInternal versionSettore MAT/02 - AlgebraProtomodular categoryTheory of computation010307 mathematical physicsApplied Categorical Structures
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The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems

2019

The recently introduced Tsetlin Machine (TM) has provided competitive pattern classification accuracy in several benchmarks, composing patterns with easy-to-interpret conjunctive clauses in propositional logic. In this paper, we go beyond pattern classification by introducing a new type of TMs, namely, the Regression Tsetlin Machine (RTM). In all brevity, we modify the inner inference mechanism of the TM so that input patterns are transformed into a single continuous output, rather than to distinct categories. We achieve this by: (1) using the conjunctive clauses of the TM to capture arbitrarily complex patterns; (2) mapping these patterns to a continuous output through a novel voting and n…

Normalization (statistics)Scheme (programming language)Computer scienceInferenceProbability density function02 engineering and technologyPropositional calculusRegression020202 computer hardware & architecturePattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingNoise (video)Algorithmcomputercomputer.programming_language
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Profunctors in Mal’tsev categories and fractions of functors

2013

We study internal profunctors and their normalization under various conditions on the base category. In the Mal'tsev case we give an easy characterization of profunctors. Moreover, when the base category is regular with any regular epimorphism effective for descent, we characterize those profunctors which are fractions of internal functors with respect to weak equivalences. (C) 2012 Elsevier B.V. All rights reserved.

Normalization (statistics)Settore MAT/02 - AlgebraPure mathematicsAlgebra and Number TheoryFunctorMathematics::Category TheoryEpimorphismProfunctor fractorMathematicsJournal of Pure and Applied Algebra
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