0000000000541400

AUTHOR

E. Cox

showing 3 related works from this author

Luminosity determination in pp collisions at s=7 TeV using the ATLAS detector at the LHC

2011

Measurements of luminosity obtained using the ATLAS detector during early running of the Large Hadron Collider (LHC) at s√=7 TeV are presented. The luminosity is independently determined using several detectors and multiple algorithms, each having different acceptances, systematic uncertainties and sensitivity to background. The ratios of the luminosities obtained from these methods are monitored as a function of time and of μ, the average number of inelastic interactions per bunch crossing. Residual time- and μ-dependence between the methods is less than 2% for 0<μ<2.5. Absolute luminosity calibrations, performed using beam separation scans, have a common systematic uncertainty of ±11%, do…

:Mathematics and natural science: 400::Physics: 430 [VDP]Physics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsMonte Carlo method:Mathematics and natural science: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]Luminosity Determination01 natural sciencesLuminiscenciaHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)proton-proton collisionNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PhysicsLarge Hadron ColliderLuminosity (scattering theory)DetectorSettore FIS/01 - Fisica SperimentaleATLAS detector; LHC; pp collisionsATLASmedicine.anatomical_structureComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearLHCNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências FísicasAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicsAtlas (anatomy)0103 physical sciencesmedicineCalibrationddc:530High Energy Physics010306 general physicsEngineering (miscellaneous)Ciencias ExactasScience & TechnologyATLAS detector010308 nuclear & particles physicsATLAS DetectorFísicaHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentEvent (particle physics)Beam (structure)
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The classification of submerged vegetation using hyperspectral MIVIS data

2009

The aim of this research is to use hyperspectral MIVIS data to map the Posidonia oceanica prairies in a coastal lagoon (Stagnone di Marsala). It is approximately 12 km long and 2 km wide and is linked to the open sea by two shallow openings. This environment is characterised by prairies of phanerogams, the most common of which is Posidonia oceanica, an ideal habitat for numerous species of fish, molluscs and crustaceans. A knowledge of the distribution of submerged vegetation is useful to monitor the health of the lagoon. In order to classify the MIVIS imagery, the attenuation effects of the water column have been removed from the signal using Lyzenga’s technique. A comparison between class…

hyperspectral imagerSpectrometerbiologylcsh:QC801-809shallow watersubmerged vegetationHyperspectral imagingVegetationlcsh:QC851-999biology.organism_classificationwater column correctionWaves and shallow waterlcsh:Geophysics. Cosmic physicsGeophysicsWater columnhyperspectral imageryHabitatHomogeneousPosidonia oceanicaEnvironmental sciencelcsh:Meteorology. ClimatologyRemote sensingAnnals of Geophysics
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Analisi evolutiva della distribuzione della vegetazione sommersa in una laguna per mezzo di dati iperspettrali MIVIS

2005

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