Search results for "pattern"

showing 10 items of 4203 documents

Photoelastic stress pattern analysis using Fourier transform with carrier fringes: influence of quarter-wave plate error

2002

The Fourier transform method, widely applied in photomechanics for the automated analysis of interferometric fringe patterns, has been recently extended to the photoelastic isochromatic fringe patterns analysis. Unfortunately, its use in photoelasticity involves some limitations that have not been completely highlighted in literature. This work deals with the influence of the quarter-wave plate tolerance on the evaluation of the retardation. Both theoretical and experimental analyses have shown that the quarter-wave plate error does not affect the retardation only if the principal stress directions in the model and in the carrier are aligned. In general, instead, the tolerance of the quarte…

PhotoelasticityMaterials scienceField (physics)business.industryMechanical EngineeringPattern analysisWaveplateAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsStress (mechanics)Interferometrysymbols.namesakeOpticsFourier transformsymbolsPrincipal stressElectrical and Electronic EngineeringbusinessOptics and Lasers in Engineering
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Operation and first results of the NEXT-DEMO prototype using a silicon photomultiplier tracking array

2013

NEXT-DEMO is a high-pressure xenon gas TPC which acts as a technological test-bed and demonstrator for the NEXT-100 neutrinoless double beta decay experiment. In its current configuration the apparatus fully implements the NEXT-100 design concept. This is an asymmetric TPC, with an energy plane made of photomultipliers and a tracking plane made of silicon photomultipliers (SiPM) coated with TPB. The detector in this new configuration has been used to reconstruct the characteristic signature of electrons in dense gas, demonstrating the ability to identify the MIP and "blob" regions. Moreover, the SiPM tracking plane allows for the definition of a large fiducial region in which an excellent e…

PhotomultiplierMECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURASPhysics - Instrumentation and DetectorsPhysical measurementsParticle tracking detectors (Gaseous detectors)Time projection chambersPattern recognition SystemsFísica -- Mesuramentschemistry.chemical_elementFOS: Physical sciencesTracking (particle physics)01 natural sciences7. Clean energyTECNOLOGIA ELECTRONICAXenonSilicon photomultiplierOpticsCluster analysisDouble beta decayPattern recognition0103 physical sciencesCalibrationReconeixement de formes (Informàtica)Calibratge010306 general physicsInstrumentationImage resolutionMathematical PhysicsDetectors de radiacióPhysicsCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryDetectorCluster findingFísicaInstrumentation and Detectors (physics.ins-det)Double-beta decay detectorsAnàlisi de conglomeratschemistryNuclear countersCalibrationbusiness
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Fiber-based planar antennas for spectroscopy and sensing

2021

Fluorescence detection is a well-established method for spectroscopy and sensing. However, since dye molecules are dipolar light sources, a large fraction of the emitted photons can be lost. An effective approach to overcome this problem relies on a planar antenna configuration, which beams the radiation pattern of the dye into a narrow cone. A planar antenna works like a Yagi-Uda antenna, but reflector and director elements are made of thin metal films. Here, by introducing a scanning optical fiber, which incorporates the reflector or the director, we demonstrate a tunable planar antenna for spectroscopic and sensing applications. Our results show that the radiation pattern narrows down to…

PhotonOptical fiberMaterials sciencebusiness.industryPhysics::OpticsReflector (antenna)law.inventionRadiation patternFull width at half maximumDipoleOpticslawAntenna (radio)businessSpectroscopyNanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVIII
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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
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Formación de estructuras no lineales mediante control de la fase en sistemas fotorrefractivos

2018

Esta tesis doctoral se ha realizado en el campo de la Óptica No Lineal experimental, dentro de un marco de investigación básica. El objeto de estudio es la manipulación experimental de estructuras que pueden emerger en la sección transversal de un haz láser bajo determinadas condiciones, y que además están caracterizadas por su fase: como, por ejemplo, vórtices, solitones o dominios de fase. Como elemento activo no lineal que contribuye a la generación de este tipo de estructuras, se utilizan diferentes tipos cristal fotorrefractivos (PRCs) con tiempos de respuesta largos como el BaTiO3 y el SBN o tiempos cortos como el KTLN. El presente manuscrito está redactado como un compendio de artícu…

Photorefractive Optical OscillatorPhotorefractivePatternsRocking modulation
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Neural Networks in ECG Classification

2011

In this chapter, we review the vast field of application of artificial neural networks in cardiac pathology discrimination based on electrocardiographic signals. We discuss advantages and drawbacks of neural and adaptive systems in cardiovascular medicine and catch a glimpse of forthcoming developments in machine learning models for the real clinical environment. Some problems are identified in the learning tasks of beat detection, feature selection/extraction, and classification, and some proposals and suggestions are given to alleviate the problems of interpretability, overfitting, and adaptation. These have become important problems in recent years and will surely constitute the basis of…

Physical neural networkComputingMethodologies_PATTERNRECOGNITIONArtificial neural networkbusiness.industryComputer scienceTime delay neural networkAdaptive systemArtificial intelligenceTypes of artificial neural networksbusiness
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Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

2016

To exploit the full potential of radio measurements of cosmic-ray air showers at MHz frequencies, a detector timing synchronization within 1 ns is needed. Large distributed radio detector arrays such as the Auger Engineering Radio Array (AERA) rely on timing via the Global Positioning System (GPS) for the synchronization of individual detector station clocks. Unfortunately, GPS timing is expected to have an accuracy no better than about 5 ns. In practice, in particular in AERA, the GPS clocks exhibit drifts on the order of tens of ns. We developed a technique to correct for the GPS drifts, and an independent method is used to cross-check that indeed we reach a nanosecond-scale timing accura…

Physics - Instrumentation and DetectorsAutomatic dependent surveillance-broadcastComputer scienceCiencias FísicasAstronomyDetector alignment and calibration methods (lasers sources particle-beams)Calibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors01 natural sciencesTiming detectorsSynchronizationHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Sine wave[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationMathematical PhysicsTransmitterDetectorSettore FIS/01 - Fisica Sperimentaleparticle-beams)Instrumentation and Detectors (physics.ins-det)Pattern recognition cluster finding calibration and fitting methodGlobal Positioning SystemComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearCIENCIAS NATURALES Y EXACTASsourcesReal-time computingFOS: Physical sciencesCalibration and fitting methodClustersPattern recognition0103 physical sciencesCalibrationHigh Energy Physics010306 general physicsCiencias ExactasCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryCluster findingFísicaAstroparticles//purl.org/becyt/ford/1.3 [https]PhaserAstronomíaDetector alignment and calibration methods (lasersTiming detectorPierre AugerExperimental High Energy PhysicsRECONHECIMENTO DE PADRÕESCalibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors; Instrumentation; Mathematical PhysicsbusinessJournal of Instrumentation
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A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test

2010

A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV…

Physics - Instrumentation and DetectorsCiências Naturais::Ciências FísicasPhysics::Instrumentation and Detectors:Ciências Físicas [Ciências Naturais]Monte Carlo methodFOS: Physical sciencesddc:500.201 natural sciences7. Clean energyPartícules (Física nuclear)Settore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentNuclear physicsCalorimetersHigh Energy Physics - Experiment (hep-ex)PionAtlas (anatomy)calorimeter methods ; pattern recognition ; cluster finding ; calibration and fitting methods ; calorimeters ; detector modelling and simulations0103 physical sciencesCalibrationmedicine[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Calorimeter methods010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Science & TechnologyLarge Hadron Collider010308 nuclear & particles physicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica SperimentaleATLAS experimentInstrumentation and Detectors (physics.ins-det)Calorimetermedicine.anatomical_structureExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentBeam (structure)Journal of Instrumentation
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The upgrade of the ALICE TPC with GEMs and continuous readout

2020

Journal of Instrumentation 16(03), P03022 (2021). doi:10.1088/1748-0221/16/03/P03022

Physics - Instrumentation and DetectorsComputer sciencePhysics::Instrumentation and DetectorsFOS: Physical sciences61001 natural sciences114 Physical sciences030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0103 physical sciencesMicropattern gaseous detectors (MSGC GEM THGEM RETHGEM MHSP MICROPIC MICROMEGAS InGrid etc)Electronicsddc:610Detectors and Experimental TechniquesInstrumentationphysics.ins-detMathematical PhysicsCMOS readout of gaseous detectorsLarge Hadron Collider010308 nuclear & particles physicsbusiness.industryDetectorTime projection Chambers (TPC)Readout electronicsInstrumentation and Detectors (physics.ins-det)ChipUpgradeGaseous imaging and tracking detectorsGas electron multiplierALICE (propellant)businessComputer hardware
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Hyperspectral terahertz microscopy via nonlinear ghost imaging

2020

Ghost imaging, based on single-pixel detection and multiple pattern illumination, is a crucial investigative tool in difficult-to-access wavelength regions. In the terahertz domain, where high-resolution imagers are mostly unavailable, ghost imaging is an optimal approach to embed the temporal dimension, creating a “hyperspectral” imager. In this framework, high resolution is mostly out of reach. Hence, it is particularly critical to developing practical approaches for microscopy. Here we experimentally demonstrate time-resolved nonlinear ghost imaging, a technique based on near-field, optical-to-terahertz nonlinear conversion and detection of illumination patterns. We show how space–time c…

Physics - Instrumentation and DetectorsComputer scienceTerahertz radiationFOS: Physical sciences02 engineering and technologyGhost imaging01 natural sciences010309 opticssymbols.namesakeOptics0103 physical sciencesMicroscopyCouplingbusiness.industryQC0454.T47Hyperspectral imagingInstrumentation and Detectors (physics.ins-det)QC0446.2021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsQC0350Electronic Optical and Magnetic MaterialsNonlinear systemWavelengthFourier transformComputer Science::Computer Vision and Pattern Recognitionsymbols0210 nano-technologybusinessOptics (physics.optics)Physics - Optics
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