Search results for "resolution"

showing 10 items of 1928 documents

Based on Compton Camera

2016

Compton Cameras have been proposed as an alternative to SPECT imaging with Gamma Camera, mainly due to factors such as the electronic collimation, which allows a bigger field of view and provides further information from the acquired events if compared to devices with mechanical collimation. By contrast, this involves a higher amount of data to be processed. In medical devices this leads to waiting times that are generally higher than desirable by the health-care professionals. In this work we have assessed the reconstruction of Compton images by making use of iterative and non-iterative techniques, and also evaluated its performances as a SPECT imaging technique.

Physicsmedicine.diagnostic_testbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONField of view02 engineering and technologyIterative reconstructionSingle-photon emission computed tomography021001 nanoscience & nanotechnology01 natural scienceslaw.invention010309 opticslawSpect imaging0103 physical sciencesmedicineMedical imagingComputer visionArtificial intelligence0210 nano-technologyElectronic CollimationbusinessImage resolutionGamma camera2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)
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Stray light characterization in a high-resolution imaging spectrometer designed for solar-induced fluorescence

2019

New commercial-off-the-shelf imaging spectrometers promise the combination of high spatial and spectral resolution needed to retrieve solar induced fluorescence (SIF). Imaging at multiple wavelengths for individual plants and even individual leaves from low-altitude airborne or ground-based platforms has applications in agriculture and carbon-cycle science. Data from these instruments could provide insight into the status of the photosynthetic apparatus at scales of space and time not observable with tools based on gas exchange, and could support the calibration and validation activities of current and forthcoming space missions to quantify SIF. High-spectral resolution enables SIF retrieva…

Physicsmedicine.medical_specialtySpectrometerbusiness.industryStray lightOrders of magnitude (temperature)Astrophysics::Instrumentation and Methods for AstrophysicsImaging spectrometerLaserSpectral imagingFraunhofer lineslaw.inventionsymbols.namesakeOpticslawmedicinesymbolsSpectral resolutionbusinessAlgorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV
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Recent results on heavy-ion direct reactions of interest for 0νββ decay at INFN - LNS

2020

Abstract Neutrinoless double beta decay of nuclei, if observed, would have important implications on fundamental physics. In particular it would give access to the effective neutrino mass. In order to extract such information from 0νββ decay half-life measurements, the knowledge of the Nuclear Matrix Elements (NME) is of utmost importance. In this context the NUMEN and the NURE projects aim to extract information on the NME by measuring cross sections of Double Charge Exchange reactions in selected systems which are expected to spontaneously decay via 0νββ. In this work an overview of the experimental challenges that NUMEN is facing in order to perform the experiments with accelerated beams…

Physicsnucleus: semileptonic decayHistoryparticle: Majoranahiukkasfysiikkacross section: measured[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]charge exchangemagnetic spectrometerComputer Science ApplicationsEducationNuclear physicsdouble-beta decay: (0neutrino)Heavy ionupgradeneutrino: massenergy resolution: highydinfysiikkabeam: heavy ionexperimental resultsJournal of Physics: Conference Series
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Relativistically Smeared Iron Lines in the Spectra of Bright NS LMXB

2009

We present preliminary results of a study on three bright accreting low-mass X-ray binaries hosting a neutron star, based on XMM-Newton observations. These sources (GX 340+0, GX 349+2 and SAX J1808.4-3658) show a broad Fe K alpha iron line in their spectra. This feature can be well described by relativistic line profile in each case; the good spectral resolution of the EPIC/PN and the high statistics spectra allow to put very good constraints on the disk geometry and ionization stage of the reflecting matter.

Physicsstars: neutron starAstrophysics::High Energy Astrophysical Phenomenastars: individual: GX 340+0 GX 349+2 SAX J1808.4-3658X-ray: starAstronomyAstrophysicsEPICX-ray: spectrumSpectral lineNeutron starSettore FIS/05 - Astronomia E Astrofisicaindividual: GX 340+0 GX 349+2 SAX J1808.4-3658; stars: neutron stars; X-ray: stars; X-ray: spectrum; [accretion disks; stars]PulsarIonizationSpectral resolutionSpectroscopyaccretion diskLine (formation)
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Two-Dimensional Boundary Layer Equations: High Resolution Capturing Methods

1993

In this paper we apply the piecewise hyperbolic and parabolic essentially non-oscillatory (ENO) capturing schemes (see [2] and [4]) to approximate the solution to the boundary layer equations for two-dimensional incompressible flow. We have tested several numerical examples analyzing their resolutive power and efficiency with respect to small values of the kinematic viscosity of the flow.

Physics::Fluid DynamicsBoundary layerFlow (mathematics)Incompressible flowMathematical analysisBlasius boundary layerPiecewiseHigh resolutionPower (physics)Mathematics
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A liquid gas target system for medium energy electron scattering

1972

Abstract A liquid gas target system is described, which is suitable for high resolution electron scattering experiments at medium energies. The liquid gas chamber of the target system has, for ease of comparison with solid targets, the form of a thin-walled flat box 2 mm in thickness. The position of the target assembly can be changed by remote control.

Physics::Fluid DynamicsPhysicsMedium energyLiquid gasScatteringPosition (vector)High resolutionGeneral MedicineCryogenicsAtomic physicsElectron scatteringNuclear Instruments and Methods
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Background Simulations of the Wide Field Imager of the ATHENA X-Ray Observatory

2011

The ATHENA X-ray Observatory-IXO is a planned multinational orbiting X-ray observatory with a focal length of 11.5m. ATHENA aims to perform pointed observations in an energy range from 0.1 keV to 15 keV with high sensitivity. For high spatial and timing resolution imaging and spectroscopic observations the 640x640 pixel^2 large DePFET-technology based Wide field Imager (WFI) focal plane detector, providing a field of view of 18 arcsec will be the main detector. Based on the actual mechanics, thermal and shielding design we present estimates for the WFI cosmic ray induced background obtained by the use of Monte-Carlo simulations and possible background reduction measures.

Physics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaCosmic background radiationSpace ShuttleFOS: Physical sciencesField of viewCosmic rayAstrophysics::Cosmology and Extragalactic Astrophysicslaw.inventionTelescopeOpticsObservatorylawNuclear electronicsAstrophysics::Solar and Stellar AstrophysicsFocal lengthImage resolutionInstrumentation and Methods for Astrophysics (astro-ph.IM)PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)business.industryDetectorAstrophysics::Instrumentation and Methods for AstrophysicsCardinal pointElectromagnetic shieldingAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenabusiness
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Performance of tracking stations of the underground cosmic-ray detector array EMMA

2018

Abstract The new cosmic-ray experiment EMMA operates at the depth of 75 m (50 GeV cutoff energy for vertical muons; 210 m.w.e.) in the Pyhasalmi mine, Finland. The underground infrastructure consists of a network of eleven stations equipped with multi-layer, position-sensitive detectors. EMMA is designed for cosmic-ray composition studies around the energy range of the knee, i.e., for primary particles with energies between 1 and 10 PeV. In order to yield significant new results EMMA must be able to record data in the full configuration for about three years. The key to the success of the experiment is the performance of its tracking stations. In this paper we describe the layout of EMMA an…

Physics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenatutkimuslaitteetHigh-energy muonsCosmic rayScintillatorTracking (particle physics)01 natural sciencesOpticscosmic rays0103 physical sciencesAngular resolutiondrift chambersUnderground experimentCosmic rays010303 astronomy & astrophysicsImage resolutionPhysicsMuonDrift chambersta114010308 nuclear & particles physicsbusiness.industryDetectorAstronomy and Astrophysicshigh-energy muonsilmaisimetunderground experimentScintillation counterPlastic scintillation detectorsHigh Energy Physics::Experimentbusinesskosminen säteilyMuon trackingmuon trackingplastic scintillation detectorsAstroparticle Physics
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A neural network clustering algorithm for the ATLAS silicon pixel detector

2014

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. …

Physics::Instrumentation and DetectorsCiencias FísicasMonte Carlo methodHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)jetParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]Statistical physicscluster [track data analysis]Particle tracking detectors (solid-state detectors)InstrumentationQCMathematical PhysicsPhysicsArtificial neural networkAtlas (topology)Detectordetectors)Monte Carlo [numerical calculations]ATLASperformance [neural network]CERN LHC CollParticle tracking detectors (Solid-state detectors)Feature (computer vision)Physical SciencesParticle tracking detectors (Solid-stateParticle tracking detectors; Particle tracking detectors (Solid-state detectors)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCConnected-component labelingAlgorithmNeural networksCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentInterpolationCiências Naturais::Ciências Físicas530 Physicssplitting:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesParticle tracking detectors; Particle tracking detectors (solid-state detectors); Instrumentation; Mathematical Physics530FysikHigh Energy Physicsddc:610Cluster analysispixel [semiconductor detector]Science & TechnologyFísica//purl.org/becyt/ford/1.3 [https]High Energy Physics - Experiment; High Energy Physics - ExperimentParticle tracking detectorcluster [charged particle]AstronomíaParticle tracking detectors; Particle tracking detectors (Solid-state; detectors)Experimental High Energy Physicsimpact parameter [resolution]
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Post-processing of Pixel and Object-Based Land Cover Classifications of Very High Spatial Resolution Images

2020

The state of the art is plenty of classification methods. Pixel-based methods include the most traditional ones. Although these achieved high accuracy when classifying remote sensing images, some limits emerged with the advent of very high-resolution images that enhanced the spectral heterogeneity within a class. Therefore, in the last decade, new classification methods capable of overcoming these limits have undergone considerable development. Within this research, we compared the performances of an Object-based and a Pixel-Based classification method, the Random Forests (RF) and the Object-Based Image Analysis (OBIA), respectively. Their ability to quantify the extension and the perimeter…

PixelComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONObject basedLand coverClass (biology)Random forestObject-Based image analysisRemote sensing (archaeology)Computer Science::Computer Vision and Pattern RecognitionVector based generalizationHigh spatial resolutionObject-Based image analysis; Random forest; Vector based generalizationState (computer science)Settore ICAR/06 - Topografia E CartografiaRandom forestRemote sensing
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