Search results for "CQ"

showing 10 items of 1801 documents

Towards automated diffraction tomography: Part I—Data acquisition

2007

Abstract The ultimate aim of electron diffraction data collection for structure analysis is to sample the reciprocal space as accurately as possible to obtain a high-quality data set for crystal structure determination. Besides a more precise lattice parameter determination, fine sampling is expected to deliver superior data on reflection intensities, which is crucial for subsequent structure analysis. Traditionally, three-dimensional (3D) diffraction data are collected by manually tilting a crystal around a selected crystallographic axis and recording a set of diffraction patterns (a tilt series) at various crystallographic zones. In a second step, diffraction data from these zones are com…

DiffractionReflection high-energy electron diffractionbusiness.industryChemistryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsData setDiffraction tomographyOpticsData acquisitionPrecession electron diffractionSelected area diffractionbusinessInstrumentationElectron backscatter diffractionUltramicroscopy
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Structure solution of zeolites by automated electron diffraction tomography - Impact and treatment of preferential orientation

2014

Abstract In this paper the reliability of structure solution of nano-crystalline porous compounds with preferred orientation based on automated electron diffraction tomography (ADT) is discussed. It will be shown that the limitations of the data acquisition geometry can be overcome by completing the missing diffraction data with additional diffraction information. Apart from different ways of sample preparation, data merging with either additional ADT data sets or intensities derived from X-ray powder diffraction comprise an effective way to improve the accuracy of the structure solution.

DiffractionZeoliteOrientation (computer vision)ChemistryGeneral ChemistryCondensed Matter PhysicsElectron diffraction; MOF; Structure determination; ZeoliteComputational physicsCrystallographyData acquisitionElectron diffractionElectron diffractionMechanics of MaterialsGeneral Materials ScienceSample preparationTomographyStructure determinationPowder diffractionElectron backscatter diffractionMOF
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Physics, Techniques and Review of Neuroradiological Applications of Diffusion Kurtosis Imaging (DKI)

2016

In recent years many papers about diagnostic applications of diffusion tensor imaging (DTI) have been published. This is because DTI allows to evaluate in vivo and in a non-invasive way the process of diffusion of water molecules in biological tissues. However, the simplified description of the diffusion process assumed in DTI does not permit to completely map the complex underlying cellular components and structures, which hinder and restrict the diffusion of water molecules. These limitations can be partially overcome by means of diffusion kurtosis imaging (DKI). The aim of this paper is the description of the theory of DKI, a new topic of growing interest in radiology. DKI is a higher or…

Diffusion tensor imaging (DTI)computer.software_genreSensitivity and Specificity030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineSettore MED/36 - Diagnostica per Immagini e RadioterapiaImage Interpretation Computer-AssistedHumansPreprocessorRadiology Nuclear Medicine and imagingMagnetic resonance imaging (MRI)Diffusion (business)DKIDiffusion Kurtosis ImagingParametric statisticsPhysicsBrain DiseasesDiffusion weighted imaging (DWI)Reproducibility of ResultsBrainSettore MED/37 - NeuroradiologiaImage EnhancementWhite MatterSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Acquisition ProtocolDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingNeuroradiologyDiffusion processDTIDWI NeuroradiologyDiffusional kurtosis imaging (DKI)Settore MED/26 - NeurologiaNeurology (clinical)Data miningBrain; Diffusion tensor imaging (DTI); Diffusion weighted imaging (DWI); Diffusional kurtosis imaging (DKI); Magnetic resonance imaging (MRI); NeuroradiologycomputerAlgorithms030217 neurology & neurosurgeryMRIDiffusion MRIClinical Neuroradiology
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The ATLAS Level-1 Calorimeter Trigger

2008

The ATLAS Level-1 Calorimeter Trigger uses reduced-granularity information from all the ATLAS calorimeters to search for high transverse-energy electrons, photons, tau leptons and jets, as well as high missing and total transverse energy. The calorimeter trigger electronics has a fixed latency of about 1 microsecond, using programmable custom-built digital electronics. This paper describes the Calorimeter Trigger hardware, as installed in the ATLAS electronics cavern.

Digital electronicsPhysicsLarge Hadron ColliderPhysics::Instrumentation and Detectorsbusiness.industryElectrical engineeringIntegrated circuitlaw.inventionCalorimetermedicine.anatomical_structureData acquisitionAtlas (anatomy)lawControl systemmedicineHigh Energy Physics::ExperimentElectronicsDetectors and Experimental TechniquesbusinessInstrumentationMathematical PhysicsJournal of Instrumentation
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Digital filtering and analysis for a semiconductor X-ray detector data acquisition

2007

Abstract Pile-up distortion is a major drawback in X-ray spectroscopy at high count rate. Pulse width narrowing with shaping techniques can lead to the reduction of the pile-up distortion, but a low shaping time reduces the noise filtration and leads to a poor energy resolution. Thus, only a best compromise solution between the pile-up and the noise requirements is achievable. The hardware manipulation needed to adjust the parameters of the traditional electronic shaping amplifiers makes it uneasy to tests various settings in different conditions. Digital techniques can help to overcome such difficulties. A digital signal processing and analysis system for X-ray spectroscopy is described in…

Digital shapingPhysicsSemiconductor detectorNuclear and High Energy PhysicsAnalogue electronicsNoise (signal processing)Preamplifierbusiness.industrySignalData acquisitionDistortionX-ray spectroscopyElectronic engineeringbusinessInstrumentationEnergy (signal processing)Digital signal processingPile-upNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Muon identification with the ATLAS Tile Calorimeter Read-Out Driver for Level-2 trigger purposes

2008

The Hadronic Tile Calorimeter (TileCal) at the ATLAS experiment is a detector made out of iron as passive medium and plastic scintillating tiles as active medium. The light produced by the particles is converted to electrical signals which are digitized in the front-end electronics and sent to the back-end system. The main element of the back-end electronics are the VME 9U Read-Out Driver (ROD) boards, responsible of data management, processing and transmission. A total of 32 ROD boards, placed in the data acquisition chain between Level-1 and Level-2 trigger, are needed to read out the whole calorimeter. They are equipped with fixed-point Digital Signal Processors (DSPs) that apply online …

Digital signal processorCalorimeter (particle physics)Physics::Instrumentation and Detectorsbusiness.industryComputer scienceATLAS experimentDetectorData acquisitionTransmission (telecommunications)High Energy Physics::ExperimentElectronicsDetectors and Experimental TechniquesbusinessComputer hardwareDigital signal processing2008 IEEE Nuclear Science Symposium Conference Record
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"Table 1" of "Test of the flavor independence of alpha-s"

1998

No description provided.

Dijet ProductionE+ E- ScatteringE+ E- --> CQBAR CQE+ E- --> BQBAR BQALPHASExclusive91.2Jet ProductionE+ E- --> 2JETE+ E- --> QUARK QUARKBAR
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WQ*-algebras of measurable operators

2012

Every C*-algebra \(\mathfrak{A}\) has a faithful *-representation π in a Hilbert space \(\mathcal{H}\). Consequently it is natural to pose the following question: under which conditions, the completion of a C*-algebra in a weaker than the given one topology, can be realized as a quasi *-algebra of operators? The present paper presents the possibility of extending the well known Gelfand — Naimark representation of C*-algebras to certain Banach C*-modules.

Discrete mathematicsmonotone closedPure mathematicsApplied MathematicsGeneral MathematicsHilbert spacemodular representation.C*-algebraCQ*-algebrasymbols.namesakeSettore MAT/05 - Analisi MatematicaGelfand–Naimark theoremsymbolsCQ*-algebra; WQ*-algebra; Monotone closed; Modular representationlcsh:QAlgebra over a fieldlcsh:ScienceRepresentation (mathematics)Topology (chemistry)WQ*-algebraMathematicsIndian Journal of Pure and Applied Mathematics
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Discrete wavelet transform based multispectral filter array demosaicking

2013

International audience; The idea of colour filter array may be adapted to multi-spectral image acquisition by integrating more filter types into the array, and developing associated demosaicking algorithms. Several methods employing discrete wavelet transform (DWT) have been proposed for CFA demosaicking. In this work, we put forward an extended use of DWT for mul-tispectral filter array demosaicking. The extension seemed straightforward, however we observed striking results. This work contributes to better understanding of the issue by demonstrating that spectral correlation and spatial resolution of the images exerts a crucial influence on the performance of DWT based demosaicking.

Discrete wavelet transformDWT based demosaickingHyperspectral imagingComputer scienceMultispectralMultispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologymultispectral filter array demosaicking01 natural sciencesfilter array[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingimage colour analysis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionOptical filterImage resolutionimage segmentationDemosaicingmultispectral image acquisitionHyperspectral imagingimagingspectral correlationCorrelationCFA demosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage color analysis010309 optics0103 physical sciencesoptical filtersArraysspatial images resolution[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdiscrete wavelet transformbusiness.industryImage segmentationBinary treesDiscrete wavelet transformscolour filter arrayspectral analysisInterpolationdemosaickingFilter (video)Artificial intelligencebusinessimage resolution
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Aider les étudiants par un module de mise à niveau des acquis disciplinaires : Un effet sur les performances aux examens des participants sélectionné…

2013

Document de travail du CIPE; Partant d'un questionnement sur les effets d'un dispositif de remise à niveau disciplinaire sur la réussite aux examens des étudiants entrants à l'université dans le cadre du Plan Réussite en Licence à l'université de Bourgogne, cet article montre l'existence d'effets différents selon le bagage scolaire des étudiants et il souligne les impacts d'un tel programme sur la persévérance dans les études. Les résultats sur la participation réinterrogent sur les processus de sélection des étudiants choisis par l'équipe pédagogique pour suivre ce programme.

Dispositif d'aideEffetRéussite universitaireAide aux étudiantsPoursuite d'études[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Education[ SHS.EDU ] Humanities and Social Sciences/EducationDiscipline académiqueMise à niveauAcquis pédagogique
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