Search results for " Applied"

showing 10 items of 2189 documents

XIPE: the x-ray imaging polarimetry explorer

2016

XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrally-spatially- resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror bu…

X-ray AstronomyHigh-energy astronomyPolarimetryX-ray opticsX-ray telescopeCondensed Matter Physic01 natural sciencesObservatory0103 physical sciencesPolarimetryElectronicOptical and Magnetic MaterialsSpectral resolutionElectrical and Electronic Engineering010303 astronomy & astrophysicsGas Pixel DetectorPhysicsX-ray astronomyta115X-ray optics010308 nuclear & particles physicsElectronic Optical and Magnetic MaterialApplied MathematicsVegaAstronomyComputer Science Applications1707 Computer Vision and Pattern RecognitionGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray opticsCondensed Matter PhysicsComputer Science ApplicationsApplied MathematicGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications; Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionX-ray optic
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Amorphous p-Type Conducting Zn-x Ir Oxide (x > 0.13) Thin Films Deposited by Reactive Magnetron Cosputtering

2021

Zinc-iridium oxide (Zn-Ir-O) thin films have been demonstrated as a p-type conducting material. However, the stability of p-type conductivity with respect to chemical composition or temperature is still unclear. In this study we discuss the local atomic structure and the electrical properties of Zn-Ir-O films in the large Ir concentration range. The films are deposited by reactive DC magnetron co-sputtering at two different substrate temperatures-without intentional heating and at 300 {\deg}C. Extended X-ray absorption fine structure (EXAFS) analysis reveals that strongly disordered ZnO4 tetrahedra are the main Zn complexes in Zn-Ir-O films with up to 67.4 at% Ir. As the Ir concentration in…

X-ray absorption spectroscopyReactive magnetronCondensed Matter - Materials ScienceMaterials scienceOxideAnalytical chemistryMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPhysics - Applied PhysicsApplied Physics (physics.app-ph)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsAmorphous solidchemistry.chemical_compoundchemistryThin film
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Nanocrystalline CaWO$_4$ and ZnWO$_4$ Tungstates for Hybrid Organic-Inorganic X-ray Detectors

2023

The experiment at the DESY PETRA-III synchrotron was performed within project No. I-20211105 EC at the Institute of Solid State Physics, University of Latvia, as the Cen ter of Excellence has received funding from the European Union’s Horizon 2020 Framework Pro gramme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART2.

X-ray sensingCondensed Matter - Materials Sciencehybrid organic–inorganic X-ray detectorsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Materials Science600:NATURAL SCIENCES::Physics [Research Subject Categories]Applied Physics (physics.app-ph)Physics - Applied Physicstungstates; hybrid organic–inorganic X-ray detectors; X-ray sensingddc:600tungstates
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The LOFT mission concept: a status update

2016

The Large Observatory For x-ray Timing (LOFT) is a mission concept which was proposed to ESA as M3 and M4 candidate in the framework of the Cosmic Vision 2015-2025 program. Thanks to the unprecedented combination of effective area and spectral resolution of its main instrument and the uniquely large field of view of its wide field monitor, LOFT will be able to study the behaviour of matter in extreme conditions such as the strong gravitational field in the innermost regions close to black holes and neutron stars and the supra-nuclear densities in the interiors of neutron stars. The science payload is based on a Large Area Detector (LAD, >8m2 effective area, 2-30 keV, 240 eV spectral resolut…

X-ray timing[ SDU.ASTR.GA ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA]Field of viewAstrophysics01 natural scienceslaw.inventionlawObservatorytiming010303 astronomy & astrophysicsQBPhysicsmicrochannel plates. PROPORTIONAL COUNTER ARRAYCALIBRATIONX-ray astronomyElectronic Optical and Magnetic MaterialApplied MathematicsAstrophysics::Instrumentation and Methods for AstrophysicsComputer Science Applications1707 Computer Vision and Pattern RecognitionX-ray detectorsCondensed Matter Physicscompact objectsX-ray spectroscopy[SDU.ASTR.GA]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA]spectroscopyCosmic Vision[ INFO ] Computer Science [cs]Silicon detectorAstrophysics::High Energy Astrophysical PhenomenaCondensed Matter PhysicTelescopeX-rayX-ray astronomySilicon detectors; spectroscopy; timing; X-ray astronomy; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Applied Mathematics; Electrical and Electronic EngineeringSettore FIS/05 - Astronomia e Astrofisica0103 physical sciencesElectronic[INFO]Computer Science [cs]Optical and Magnetic MaterialsSpectral resolutionElectrical and Electronic EngineeringDETECTORta115X-ray astronomy Silicon detectors timing spectroscopy010308 nuclear & particles physicsX-ray imagingX-ray timing; X-ray spectroscopy; X-ray imaging; compact objects; X-ray detectors; microchannel plates. PROPORTIONAL COUNTER ARRAY; CALIBRATION; DETECTORApplied MathematicNeutron starQB460-466 AstrophysicsSilicon detectors; spectroscopy; timing; X-ray astronomy; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringSilicon detectors; spectroscopy; timing; X-ray astronomySilicon detectorsLarge Observatory For x-ray Timing (LOFT) Large Area Detector (LAD) Wide Field Monitor (WFM) Large Area Silicon Drift Detectors (SDD)Gamma-ray burst
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Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finit…

2018

In this paper, a new simulation technique which can include microstructural inhomogeneity of particulate reinforced composites is proposed to accurately study deformation pattern and damage mechanism in these composites. Three dimensional microstructures constructed from XCT images incorporated into finite element modeling codes with minimal approximation to capture the effects of cluster size, local volume fraction of particles in the cluster and the distance between clusters as relevant statistical quantities describing the microstructural inhomogeneity of particulate reinforced composites. A quantitative parameter as degree of clustering is defined to consider particle clustering effect.…

Yield (engineering)Materials scienceNon-destructive testing02 engineering and technologyFlow stressPlasticity01 natural sciencesIndustrial and Manufacturing Engineering0103 physical sciencesCluster (physics)von Mises yield criterionsimulointiComposite materialCluster analysista216Plastic deformationkomposiitit010302 applied physicsta114Mechanical EngineeringFinite element analysis (FEA)021001 nanoscience & nanotechnologymikrorakenteetParticle-reinforcementMechanics of MaterialsVolume fractionCeramics and CompositesDeformation (engineering)0210 nano-technologyCOMPOSITES PART B: ENGINEERING
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Nanoscale X-Ray Imaging of Spin Dynamics in Yttrium Iron Garnet

2019

Time-resolved scanning transmission x-ray microscopy (TR-STXM) has been used for the direct imaging of spin wave dynamics in thin film yttrium iron garnet (YIG) with spatial resolution in the sub 100 nm range. Application of this x-ray transmission technique to single crystalline garnet films was achieved by extracting a lamella (13x5x0.185 $\mathrm{\mu m^3}$) of liquid phase epitaxy grown YIG thin film out of a gadolinium gallium garnet substrate. Spin waves in the sample were measured along the Damon-Eshbach and backward volume directions of propagation at gigahertz frequencies and with wavelengths in a range between 100~nm and 10~$\mathrm{\mu}$m. The results were compared to theoretical …

Yttrium iron garnetFOS: Physical sciencesGeneral Physics and AstronomyLarge scale facilities for research with photons neutrons and ions02 engineering and technologySubstrate (electronics)Epitaxy01 natural scienceschemistry.chemical_compoundCondensed Matter::Materials ScienceSpin waveDispersion relationMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesThin film010302 applied physicsPhysicsMicroscopyCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsGadolinium gallium garnetYIG021001 nanoscience & nanotechnologyWavelengthchemistryMagnonics0210 nano-technology
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OPTIMIZATIONS FOR TENSORIAL BERNSTEIN–BASED SOLVERS BY USING POLYHEDRAL BOUNDS

2010

The tensorial Bernstein basis for multivariate polynomials in n variables has a number 3n of functions for degree 2. Consequently, computing the representation of a multivariate polynomial in the tensorial Bernstein basis is an exponential time algorithm, which makes tensorial Bernstein-based solvers impractical for systems with more than n = 6 or 7 variables. This article describes a polytope (Bernstein polytope) with a number of faces, which allows to bound a sparse, multivariate polynomial expressed in the canonical basis by solving several linear programming problems. We compare the performance of a subdivision solver using domain reductions by linear programming with a solver using a c…

[ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA]Linear programmingPolytopeBernstein polynomials01 natural sciencesSimplex algorithmApplied mathematicssimplex algorithm0101 mathematicsMathematicsDiscrete mathematicsBasis (linear algebra)Applied Mathematics010102 general mathematicssubdivision solverlinear programmingalgebraic systemsQuadratic function[INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA]Solver1991 Mathematics Subject Classification: 14Q15 14Q20 65G40Bernstein polynomialComputer Science Applications010101 applied mathematicsModeling and SimulationStandard basisGeometry and TopologyComputer Vision and Pattern RecognitionSoftwareInternational Journal of Shape Modeling
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Filtering and emission area identification in the Time Resolved Imaging data

2012

Abstract Time Resolved Imaging (TRI) acquisitions allow precise timing analysis of emission spots. Up to date technologies deeply challenge their isolation by hiding the weak ones, under sizing or over sizing visually detectable emission spots and finally by jeopardizing timing resolution. We report on an algorithm based on 1 and 2D signal processing tools which automates the identification of emission sites and optimizes separation between noise and useful signal, even for weak spots surrounding strong emission areas. The application of the algorithm on several sets of data from different types of devices and their results are also discussed.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology01 natural sciencesImaging dataSignal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringIsolation (database systems)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsSignal processingNoise (signal processing)business.industryPhoto EmissionStatic timing analysisPattern recognitionSizingIdentification (information)IC Failure AnalysisImage Thresholding[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Cluster matching in time resolved imaging for VLSI analysis

2014

International audience; If scaling has the benefit of enabling manufacturers to design tomorrow's integrated circuits, from the failure analyst point of view it also has the drawback of making devices more complex. The test sequence for modern VLSI can be quite long, with thousands of vector. Dynamic photon emission databases can contain millions of photons representing thousands of state changes in the region of interest. Finding a candidate location where to perform physical analysis is quite challenging, especially if the fault occurs on a single vector. In this paper, we suggest a new methodology to find single vector fault in dynamic photon emission database. The process is applied at …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMatching (graph theory)[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyIntegrated circuitFault (power engineering)computer.software_genre01 natural sciencesk-nearest neighbors algorithmlaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringPoint (geometry)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsCluster analysisComputer Science::Databases[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsVery-large-scale integrationProcess (computing)Computer engineering[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingData mining[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcomputerProceedings of the 21th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)
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Darboux systems with a cusp point and pseudo-abelian integrals

2018

International audience; We study pseudo-abelian integrals associated with polynomial deformations of Darboux systems having a cuspidal singularity. Under some genericity hypothesis we provide locally uniform boundedness of on the number of their zeros.

[ MATH ] Mathematics [math]Cusp (singularity)Pure mathematicsPolynomialApplied Mathematics[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Pseudo-abelian integrals[MATH] Mathematics [math]01 natural sciences010101 applied mathematicsLimit cyclesSingularityUniform boundednessPoint (geometry)First integral0101 mathematicsAbelian groupMSC : 34C07 ; 34C08[MATH]Mathematics [math]AnalysisMathematics
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