Search results for " Calibration"

showing 10 items of 148 documents

Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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Exploring Training Options for RF Sensing Using CSI

2018

This work analyzes human behavior recognition approaches using WiFi channel state information from the perhaps less usual point of view of training and calibration needs. With the help of selected literature examples, as well as with more detailed experimental insights on our own Doppler spectrum-based approach for physical motion/presence/cardinality detection, we first classify the diverse forms of training so far employed into three main categories (trained, trained-once, and training-free). We further discuss under which conditions it is possible to move toward lighter forms of calibration or even succeed in devising fully untrained model-based solutions. Our take home messages are main…

Point (typography)Settore ING-INF/03 - TelecomunicazioniComputer Networks and CommunicationsCalibration (statistics)Computer sciencebusiness.industry010401 analytical chemistryBehavioural sciences020206 networking & telecommunications02 engineering and technologyMachine learningcomputer.software_genreTraining Wireless fidelity Calibration Doppler effect Behavioral sciences Radio frequency Sensors Channel state estimation01 natural sciencesTraining (civil)Motion (physics)0104 chemical sciencesComputer Science ApplicationsPersonalization0202 electrical engineering electronic engineering information engineeringArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerIEEE Communications Magazine
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The positioning system of the ANTARES Neutrino Telescope

2012

The ANTARES neutrino telescope, located 40km off the coast of Toulon in the Mediterranean Sea at a mooring depth of about 2475m, consists of twelve detection lines equipped typically with 25 storeys. Every storey carries three optical modules that detect Cherenkov light induced by charged secondary particles (typically muons) coming from neutrino interactions. As these lines are flexible structures fixed to the sea bed and held taut by a buoy, sea currents cause the lines to move and the storeys to rotate. The knowledge of the position of the optical modules with a precision better than 10cm is essential for a good reconstruction of particle tracks. In this paper the ANTARES positioning sys…

Positioning systemDetector control systems (detector and experiment monitoring and slow-control systems architecture hardware algorithms databases)Detector modelling and simulations II (electric fieldsDetector alignment and calibration methods (lasers sources particle-beams)01 natural sciencesTiming detectorshardwareDetector alignment and calibration methods010303 astronomy & astrophysicsInstrumentationDETECTOR ALIGMENTMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSOUND[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Orientation (computer vision)[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsTriangulation (computer vision)particle-beams)GeodesyDETECTOR CONTROL SYSTEMDetector modelling and simulations II (electric fields charge transport multiplication and induction pulse formation electron emission etc)Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenadatabases)sources[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]pulse formationarchitecture[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesddc:500.2DETECTOR MODELLING AND SIMULATIONSDetector modelling and simulations IIalgorithmsPhysics::Geophysics0103 physical sciences14. Life underwaterInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov radiationetc)multiplication and inductionBuoyDetector control systems010308 nuclear & particles physicsDetector control systems (detector and experiment monitoring and slow-control systemsMooringcharge transport[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Detector alignment and calibration methods (laserselectron emissionFISICA APLICADAdetector modelling and simulations ii (electric fields; antares neutrino telescope; multiplication and induction; charge transport; pulse formation; electron emission; etc); hardware; architecture; timing detectors; detector control systems (detector and experiment monitoring and slow-control systems; algorithms; databases); sources; detector alignment; calibration.; acoustic positioning; detector alignment and calibration methods (lasers; particle-beams)
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Alignment for the first precision measurements at Belle II

2019

On March 25th 2019, the Belle II detector recorded the first collisions delivered by the SuperKEKB accelerator. This marked the beginning of the physics run with vertex detector. The vertex detector was aligned initially with cosmic ray tracks without magnetic field simultaneously with the drift chamber. The alignment method is based on Millepede II and the General Broken Lines track model and includes also the muon system or primary vertex position alignment. To control weak modes, we employ sensitive validation tools and various track samples can be used as alignment input, from straight cosmic tracks to mass-constrained decays. With increasing luminosity and experience, the alignment is …

QC1-999vertex detectorDetector calibrationBELLECosmic rayprogramming01 natural sciencesNuclear physics0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][INFO]Computer Science [cs][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsPhysicsMuonCOSMIC cancer database010308 nuclear & particles physicsPhysicsDetectordetector: alignmenttracksMagnetic fieldVertex (geometry)cosmic radiationdrift chamberHigh Energy Physics::ExperimentVertex detectorperformance
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Direct Top-Quark Width Measurement at CDF

2010

7 páginas, 2 figuras, 2 tablas.-- CDF Collaboration: et al.

QuarkTop quarkParticle physicsJet energyAstrophysics::High Energy Astrophysical PhenomenaTevatronGeneral Physics and AstronomyFOS: Physical sciencesElementary particleddc:500.27. Clean energy01 natural sciencesBottom quark114 Physical sciencesHigh Energy Physics - ExperimentStandard ModelHEAVY QUARKS DECAY PHYSICSNuclear physicsPHYSICSHigh Energy Physics - Experiment (hep-ex)In-situ calibrationHeavy quarks0103 physical sciencesHigh energy physics010306 general physicsBosonsBosonPhysicsIntegrated luminosityQuark mass010308 nuclear & particles physicsPhysicsHigh Energy Physics::PhenomenologyConfidence levelsDecayUpper limitsDecay channelsTevatronThe standard modelFermilabHigh Energy Physics::ExperimentHEAVY QUARKSData sampleHEAVY QUARKS; DECAY; PHYSICSDECAYWidth measurementsColliderLepton
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An experimental approach to efficiency calibration for gamma-ray spectrometric analysis of large air particulate filters

2013

Abstract A full-energy-peak efficiency (FEPE) calibration procedure for gamma-ray spectrometric analysis of air particulate samples collected on large filters is described herein. The experimental results are obtained for an unconventional measurement geometry, termed a “packet-sample”. The sample is obtained from a large cellulose filter (45 cm×45 cm) used to collect air particulate samples that is resized to dimensions suitable for spectrometric measurements (6 cm×6 cm×0.7 cm). To determine the FEPEs, many standards were created, i.e., some filters containing a small amount of ThO 2 and others containing a known amount of KCl. Efficiency curves obtained through best fits to experimental d…

RadiationChemistrySettore ING-IND/20 - Misure E Strumentazione NucleariDetectorGamma rayAnalytical chemistryMineralogyExperimental dataEfficiency calibration Air particulate Gamma-ray spectrometry HPGe detectorsParticulatesSemiconductor detectorFilter (large eddy simulation)CalibrationGamma ray spectrometry
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A combined 148Gd/244Cm source for energy calibration of α-spectrometers

2005

For high-resolution alpha-particle spectroscopy, detector calibration sources of highest performance are required concerning thickness and homogeneity. In addition, the alpha-emitting radionuclides must have adequate half-lives and alpha-emission energies. This paper describes a new type of alpha-emitting calibration source, represented by a mixture of 148Gd and 244Cm. This system covers an alpha-energy range from 3.18 MeV (148Gd) to 5.76 and 5.80 MeV (244Cm). The source has been prepared by electrolytic deposition and has good performance in terms of thickness and homogeneity.

RadiationSpectrometerChemistryHomogeneity (physics)Detector calibrationAnalytical chemistrySpectroscopyApplied Radiation and Isotopes
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Exploring single polarization X-band weather radar potentials for local meteorological and hydrological applications

2015

Summary The aim of this study is to evaluate the potential use of a low-cost single polarization X-band weather radar, verified by a disdrometer and a dense rain gauge network, installed as a supporting tool for hydrological applications and for monitoring the urban area of Palermo (Italy). Moreover, this study focuses on studying the temporal variability of the Z–R relation for Mediterranean areas. The radar device is provided with an automatic operational ground-clutter filter developed by the producer. Attention has been paid to the development of blending procedures between radar measurements and other auxiliary instruments and to their suitability for both meteorological and hydrologic…

Rain gaugeMeteorologyDisdrometerHydrological modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandMediterraneanlaw.inventionDisdrometerlawX-band radarEnvironmental scienceSpatial variabilityWeather radarZ–R calibrationRadarPredictabilityWater Science and TechnologyRemote sensingJournal of Hydrology
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Toward more realistic viscosity measurements of tyre rubber–bitumen blends

2014

AbstractThe measurement of rheological properties of the tyre rubber bitumen blends is often challenging due to presence of suspended tyre rubber’s crumbs. Furthermore, the phase separation during the course of measurements makes the viscosity of these non-homogeneous blends difficult to ascertain. In this study, a new dual helical impeller was designed and manufactured to be used with a rotational viscometer in order to have a real-time control of the viscosity while performing a laboratory mixing of the blends. Layer based manufacturing techniques showed to be a convenient method to produce complex shaped impeller prototypes before manufacturing the more expensive stainless steel assembly…

Recycled tyre rubberEngineeringbituminous materials Calibration Electric discharges Impellers Manufacture Rapid prototyping Rate constants Real time control Rubber Stainless steel Tires Viscometers Viscosity Viscosity measurementViscometryMixing (process engineering)ViscosityImpellerMaterials Science(all)Natural rubberRheologyElectrical discharge machiningSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceComposite materialCivil and Structural EngineeringComplex fluidRapid prototypingbusiness.industryViscometerBuilding and ConstructionDual helical impellerShear rateRubberised bitumenvisual_artvisual_art.visual_art_mediumSettore ICAR/08 - Scienza Delle CostruzionibusinessConstruction and Building Materials
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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Specie…

2018

Recognition of tree species and geospatial information on tree species composition is essential for forest management. In this study, tree species recognition was examined using hyperspectral imagery from visible to near-infrared (VNIR) and short-wave infrared (SWIR) camera sensors in combination with a 3D photogrammetric canopy surface model based on RGB camera stereo-imagery. An arboretum with a diverse selection of 26 tree species from 14 genera was used as a test area. Aerial hyperspectral imagery and high spatial resolution photogrammetric color imagery were acquired from the test area using unmanned aerial vehicle (UAV) borne sensors. Hyperspectral imagery was processed to calibrated …

Reflectance calibration010504 meteorology & atmospheric sciencesInfraredComputer sciencegeneettiset algoritmitUAVta1171Point clouddense point cloud01 natural scienceshyperspectral imagery; tree species recognition; photogrammetry; dense point cloud; reflectance calibration; UAV; random forest; genetic algorithm; machine learningilmakuvakartoitusMachine learninggenetic algorithmImage sensorfotogrammetria0105 earth and related environmental sciencesRemote sensingta113040101 forestryta213tree species recognitionspektrikuvausSpecies diversityHyperspectral imaging04 agricultural and veterinary sciencesOtaNanoreflectance calibrationDense point cloudVNIRRandom forestTree (data structure)hyperspectral imagerykoneoppiminenPhotogrammetryGenetic algorithmHyperspectral imageryPhotogrammetryTree species recognitionlajinmääritys0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesRGB color modelkaukokartoituspuustorandom forestRandom forestRemote Sensing; Volume 10; Issue 5; Pages: 714
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