Search results for "Data analysis."

showing 10 items of 377 documents

Status of the EPIC thin and medium filters on-board XMM-Newton after more than 10 years of operation II: analysis of in-flight data

2013

After more than ten years of operation of the EPIC camera on board the X-ray observatory XMM-Newton we have reviewed the status of its thin and medium filters by performing both analysis of data collected in-flight and laboratory measurements on on-ground back-up filters. We have investigated the status of the EPIC thin and medium filters by performing an analysis of the optical loading in the PN offset maps to gauge variations in the optical and UV transmission of the filters. We both investigated repeated observations of single optically bright targets and performed a statistical analysis of the extent of loading versus visual magnitude at different epochs. We report the results of these …

Physicsgenetic structuresbusiness.industryAstrophysics::High Energy Astrophysical PhenomenaX-Rays: XMM-Newton - X-rays: instrumentation - X-rays: filtersEPICXMM-Newton - X-rays: instrumentation - X-rays: filters [X-Rays]eye diseasesOn boardOpticsApparent magnitudeSettore FIS/05 - Astronomia E AstrofisicaTransmission (telecommunications)ObservatoryData analysisStatistical analysissense organsbusinessFlight data
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Filaments in observed and mock galaxy catalogues

2010

Context. The main feature of the spatial large-scale galaxy distribution is an intricate network of galaxy filaments. Although many attempts have been made to quantify this network, there is no unique and satisfactory recipe for that yet. Aims. The present paper compares the filaments in the real data and in the numerical models, to see if our best models reproduce statistically the filamentary network of galaxies. Methods. We apply an object point process with interactions (the Bisous process) to trace and describe the filamentary network both in the observed samples (the 2dFGRS catalogue) and in the numerical models that have been prepared to mimic the data.We compare the networks. Result…

Physicsstatistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO):ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia::Otras [UNESCO]FOS: Physical scienceslarge [Cosmology]Astronomy and AstrophysicsContext (language use)Scale structure of UniverseAstrophysicsNumerical models:ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia [UNESCO]Cosmology : large; Scale structure of Universe; Methods : data analysis; Methods : statisticalGalaxyObject pointSpace and Planetary ScienceUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia::OtrasUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogoniadata analysis [Methods]Astrophysics - Cosmology and Nongalactic Astrophysics
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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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The INTEGRAL IBIS/ISGRI System Point Spread Function and Source Location Accuracy

2003

The imager on board INTEGRAL (IBIS) presently provides the most detailed sky images ever obtained at energies above 30 keV. The telescope is based on a coded aperture imaging system which allows to obtain sky images in a large field of view 29deg x 29deg with an angular resolution of 12'. The System Point Spread Function of the telescope and its detailed characteristics are here described along with the specific analysis algorithms used to derive the accurate point-like source locations. The derived location accuracy is studied using the first in-flight calibration data on strong sources for the IBIS/ISGRI system. The dependence of the calibrated location accuracy with the signal to noise r…

Point spread functionAstrophysics::High Energy Astrophysical PhenomenaData analysisFOS: Physical sciencesImage processingField of viewAstrophysicsAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICAlaw.inventionTelescopeHigh angular resolutionSignal-to-noise ratioImage processinglawData analysis ; Image processing ; High angular resolutionAngular resolutionCoded aperture:ASTRONOMÍA Y ASTROFÍSICA::Astronomía óptica [UNESCO]Remote sensingIbisPhysicsbiologyUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Astronomía ópticaAstrophysics (astro-ph)Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and Astrophysicsbiology.organism_classificationSpace and Planetary Science:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]
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Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product

2017

Abstract A wide range of ecological, agricultural, hydrological and meteorological applications at local to regional scales requires decametric biophysical data. However, before the launch of SENTINEL-2A, only few decametric products are produced and most of them remain limited by the small number of available observations, mostly due to a moderate revisit frequency combined with cloud occurrence. Conversely, kilometric and hectometric biophysical products are now widely available with almost complete and continuous coverage, but the associated spatial resolution limits the application over heterogeneous landscapes. The objective of this study is to combine unfrequent decametric spatial res…

Point spread functionanalyse de données010504 meteorology & atmospheric sciencesMeteorology[SDV]Life Sciences [q-bio]Real-time computingdata analysis0211 other engineering and technologiesSoil Science02 engineering and technology01 natural sciencesGEOV3Range (statistics)Landsat-8FAPARComputers in Earth Sciencestemps réelImage resolutionphotosynthetically active radiation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinganalyse temporellereal timePixelrayonnement photosynthétiquement actifGeologyFunction (mathematics)15. Life on landData fusionSensor fusionDecametricHectometric13. Climate actionPhotosynthetically active radiationtime analysisEnvironmental scienceSatelliteNear real timeobservation satellite
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Analyse spatiale des disparités régionales dans l'Europe élargie

2004

The aim of this paper is to study the regional inequalities in the enlarged European Union using Exploratory Spatial Data Analysis applied to per capita GDP for 258 regions of EU27 over the period 1995-2000. Strong evidence in favor of global and local autocorrelation as well as spatial heterogeneity is found for the wealth distribution. We also show that the enlargement process leads to a new North-West - East polarization scheme instead of the previous results obtained in the literature highlighting a North-South polarization scheme. Implications for regional development and cohesion policies are finally explored.

Politique régionaleExploratory spatial data analysisDisparités régionales[SHS.GEO] Humanities and Social Sciences/GeographyAutocorrélation spatialeSpatial heterogeneityAnalyse exploratoire des données spatiales[SHS.GEO]Humanities and Social Sciences/GeographyRegional policiesHétérogénéité spatialeSpatial autocorrelation[ SHS.GEO ] Humanities and Social Sciences/GeographyRegional disparities
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Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media

2014

[EN] Within the emergent field of Systems Biology, mathematical models obtained from physical chemical laws (the so-called first principles-based models) of microbial systems are employed to discern the principles that govern cellular behaviour and achieve a predictive understanding of cellular functions. The reliance on this biochemical knowledge has the drawback that some of the assumptions (specific kinetics of the reaction system, unknown dynamics and values of the model parameters) may not be valid for all the metabolic possible states of the network. In this uncertainty context, the combined use of fundamental knowledge and data measured in the fermentation that describe the behaviour…

Principal Component AnalysisbiologyMathematical modelManufacturing processComputer scienceProcess Chemistry and TechnologySystems biologyMonte Carlo samplingESTADISTICA E INVESTIGACION OPERATIVACellular functionsMetabolic networkMetabolic networkMissing-data methods for Exploratory Data AnalysisContext (language use)biology.organism_classificationINGENIERIA DE SISTEMAS Y AUTOMATICAComputer Science ApplicationsAnalytical ChemistryPichia pastorisEconometricsBiochemical engineeringPossibilistic consistency analysisFlux (metabolism)SpectroscopySoftware
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Reinterpretation of Classic Proton Charge Form Factor Measurements

2020

In 1963, a proton radius of $0.805(11)~\mathrm{fm}$ was extracted from electron scattering data and this classic value has been used in the standard dipole parameterization of the form factor. In trying to reproduce this classic result, we discovered that there was a sign error in the original analysis and that the authors should have found a value of $0.851(19)~\mathrm{fm}$. We additionally made use of modern computing power to find a robust function for extracting the radius using this 1963 data's spacing and uncertainty. This optimal function, the Pad\'{e} $(0,1)$ approximant, also gives a result which is consistent with the modern high precision proton radius extractions.

ProtonMaterials Science (miscellaneous)BiophysicsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences0103 physical sciencesPadé approximantNuclear Experiment (nucl-ex)Physical and Theoretical Chemistry010306 general physicsform factorsNuclear ExperimentMathematical PhysicsPhysicsForm factor (quantum field theory)Function (mathematics)Radiuslcsh:QC1-999Computational physicsDipolecharge radiuselectron scatteringPhysics - Data Analysis Statistics and Probabilitystatistical methodsElectron scatteringlcsh:PhysicsData Analysis Statistics and Probability (physics.data-an)protonSign (mathematics)Frontiers in Physics
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Measurement of proton electromagnetic form factors in the time-like region using initial state radiation at BESIII

2021

Physics letters / B 817, 136328 (2021). doi:10.1016/j.physletb.2021.136328

Protonannihilation [electron positron]01 natural sciencesform factor [electron]High Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)BESIII; Electromagnetic form factors; Initial state radiation; ProtonSubatomic Physicsangular distributionNuclear ExperimentPhysicsPhysicsForm factor (quantum field theory)initial-state interaction [radiation]Beijing Stormagnetic [form factor]ratio [form factor]electron positron --> p anti-pcolliding beams [electron positron]ProtonInitial State Radiationpair production [p]electromagnetic [form factor]Born approximationNuclear and High Energy Physicsdata analysis methodQC1-999FOS: Physical sciencesRadiation5303.773-4.600 GeV-cmsNONuclear physicsCross section (physics)Angular distributionElectromagnetic form factors0103 physical sciencesform factor [p]tree approximationddc:530010306 general physicsinitial stateBES010308 nuclear & particles physicshelicity [p]BESIIIState (functional analysis)(p anti-p) [mass spectrum]Electromagnetic form FactorsHigh Energy Physics::Experimentproduction [threshold]Initial state radiationexperimental results
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Quantitative and qualitative analysis of the mental models deployed by undergraduate students in explaining thermally activated phenomena

2017

In this contribution we describe a research aimed at pointing out the quality of mental models undergraduate engineering students deploy when asked to create explanations for phenomena/processes and/or use a given model in the same context. Student responses to a specially designed written questionnaire are initially analyzed using researcher-generated categories of reasoning, based on the Physics Education Research literature on student understanding of the relevant physics content. The inferred students’ mental models about the analyzed phenomena are categorized as practical, descriptive, or explanatory, based on an analysis of student responses to the questionnaire. A qualitative analysi…

Pulmonary and Respiratory MedicineResearch literatureQuantitative analysimedia_common.quotation_subjectSettore FIS/08 - Didattica E Storia Della Fisica05 social sciencesPhysics education050301 educationContext (language use)qualitative analysimental modelsQualitative analysisQuantitative analysis (finance)Pediatrics Perinatology and Child HealthMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONQuality (business)Undergraduate engineeringmental models quantitative data analysisPsychologylcsh:L0503 educationmedia_commonlcsh:Education
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