Search results for " method"

showing 10 items of 10455 documents

On the coherence loss in phase-referenced VLBI observations

2010

Context: Phase referencing is a standard calibration technique in radio interferometry, particularly suited for the detection of weak sources close to the sensitivity limits of the interferometers. However, effects from a changing atmosphere and inaccuracies in the correlator model may affect the phase-referenced images, leading to wrong estimates of source flux densities and positions. A systematic observational study of signal decoherence in phase referencing, and its effects in the image plane, has not been performed yet. Aims: We systematically studied how the signal coherence in Very-Long-Baseline-Interferometry (VLBI) observations is affected by a phase-reference calibration at differ…

Astrophysics::Instrumentation and Methods for AstrophysicsFOS: Physical sciencesAstrophysics - Instrumentation and Methods for AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)
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Asymptotic stability of solutions to Volterra-renewal integral equations with space maps

2012

Abstract In this paper we consider linear Volterra-renewal integral equations (VIEs) whose solutions depend on a space variable, via a map transformation. We investigate the asymptotic properties of the solutions, and study the asymptotic stability of a numerical method based on direct quadrature in time and interpolation in space. We show its properties through test examples.

Asymptotic analysisApplied MathematicsNumerical analysisMathematical analysisvolterra renewalSpace mapVolterra integral equationMethod of matched asymptotic expansionsIntegral equationVolterra integral equationAsymptotic behaviorsymbols.namesakeExponential stabilityRenewal equationAsymptotologysymbolsNyström methodNumerical methodsAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Charged-particle multiplicities in pp interactions measured with the ATLAS detector at the LHC

2011

Measurements are presented from proton–proton collisions at centre-of-mass energies of \sqrt{s} = 0.9 , 2.36 and 7 TeV recorded with the ATLAS detector at the LHC. Events were collected using a single-arm minimum-bias trigger. The charged-particle multiplicity, its dependence on transverse momentum and pseudorapidity and the relationship between the mean transverse momentum and charged-particle multiplicity are measured. Measurements in different regions of phase space are shown, providing diffraction-reduced measurements as well as more inclusive ones. The observed distributions are corrected to well-defined phase-space regions, using model-independent corrections. The results are compared…

Atlas detectorMonte Carlo methodLarge hadron colliderNuclear physicsGeneral Physics and Astronomy01 natural sciencesTransverse-Momentum SpectraHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Pseudorapidity[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]CollisionsQANuclear ExperimentTransverse momentumQCPhysicsLarge Hadron ColliderPhysicsSettore FIS/01 - Fisica SperimentaleParticle physicsATLAS detector; LHC; pp collisionsATLASSquare-Root-SMonte carlo methodCharged particle3. Good healthPseudorapidityddc:540ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGTsallis distributionFísica nuclearDistributionsLHCpp collisionsParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências FísicasAtlas detector:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesCharged particleInclusive production with identified hadronsPhase spaceddc:500.2530Nuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsATLAS detector010308 nuclear & particles physicsFísicaMultiplicity (mathematics)Perturbative calculationsMultiplicity (mathematics)pp interactions; LHC; ATLAS detectorPhase spaceHADRON-HADRON COLLISIONSExperimental High Energy PhysicsCM EnergiesTevHigh Energy Physics::ExperimentCollider
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ATLAS measurements of the properties of jets for boosted particle searches

2012

Measurements are presented of the properties of high transverse momentum jets, produced in proton-proton collisions at a center-of-mass energy of √s=7  TeV. The data correspond to an integrated luminosity of 35  pb−1 and were collected with the ATLAS detector in 2010. Jet mass, width, eccentricity, planar flow and angularity are measured for jets reconstructed using the anti-kt algorithm with distance parameters R=0.6 and 1.0, with transverse momentum pT>300  GeV and pseudorapidity |η|<2. The measurements are compared to the expectations of Monte Carlo generators that match leading-logarithmic parton showers to leading-order, or next-to-leading-order, matrix elements. The generators describ…

Atlas detectorMonte Carlo methodParton7. Clean energy01 natural sciencesNucleonHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentNUCLEONATLAS; jets; boostedQCDetectors de radiacióQuantum chromodynamicsPhysicsLarge Hadron ColliderAcceleradors de partículesSettore FIS/01 - Fisica SperimentaleATLASINCLUSIVE JET CROSS SECTIONLarge Hadron ColliderPseudorapidityTransverse momentumComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCFRAGMENTATIONNucleonParticle Physics - ExperimentjetsNuclear and High Energy PhysicsParticle physicsCiências Naturais::Ciências Físicas530 PhysicsAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Partícules (Física nuclear)Proton-proton collisionsNuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsCiencias ExactasScience & TechnologyATLAS detector010308 nuclear & particles physicsFísicaMODELHADRON-HADRON COLLISIONSCol·lisions (Física nuclear)PARTON DISTRIBUTIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentModel
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Night-time cloud cover estimation

2004

In this paper a method for cloud cover assessment at night-time (when only thermal infrared data are available) is presented. It is based on the analysis of long wave radiation transfer processes in partially cloudy areas, which led to the formulation of a simplified model of the surface–cloud–atmosphere system. The model was implemented in an operational and iterative algorithm to solve the radiative equations. The algorithm was validated using ground data collected at four meteorological stations in Argentina during November 1997 and May–June 1998, which were compared to cloudiness derived from National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer therma…

AtmosphereMeteorologyOktaAdvanced very-high-resolution radiometerIterative methodCloud coverRadiative transferGeneral Earth and Planetary SciencesRadiometryEnvironmental scienceStandard deviationInternational Journal of Remote Sensing
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Atmospheric aging of small-scale wood combustion emissions (model MECHA 1.0) &ndash; is it possible to distinguish causal effects from non-causal ass…

2020

Abstract. Primary emissions of wood combustion are complex mixtures of hundreds or even over a thousand compounds, which pass through a series of chemical reactions and physical transformation processes in the atmosphere (aging). This aging process depends on atmospheric conditions, such as concentration of atmospheric oxidizing agents (OH radical, ozone and nitrate radicals), humidity and solar radiation, and is known to strongly affect the characteristics of atmospheric aerosols. However, there are only few models that are able to represent the aging of emissions during its lifetime in the atmosphere. In this work, we implemented a model (Model for aging of Emissions in environmental CHAm…

AtmosphereWork (thermodynamics)Scale (ratio)Differential equationScientific methodEnvironmental chamberCausal effectEnvironmental scienceAtmospheric sciencesCombustion
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A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere

2020

Abstract. Derivation of mean age of air (AoA) and age spectra from atmospheric measurements remains a challenge and often requires data from atmospheric models. This study tries to minimize the direct influence of model data and presents an extension and application of a previously established inversion method to derive age spectra from mixing ratios of long- and short-lived trace gases. For a precise description of cross-tropopause transport processes, the inverse method is extended to incorporate air entrainment into the stratosphere across the tropical and extratropical tropopause. We first use simulations with the Chemical Lagrangian Model of the Stratosphere (CLaMS) to provide a genera…

Atmospheric Science010504 meteorology & atmospheric sciencesAtmospheric modelsMonte Carlo methodInverse transform samplingEntrainment (meteorology)010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:QC1-999Trace gaslcsh:ChemistryTroposphereEarth scienceslcsh:QD1-999ddc:550Environmental scienceTropopauseStratospherelcsh:Physics0105 earth and related environmental sciences
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The 2-μm spectroscopy of Huygens probe landing site on Titan with Very Large Telescope/Nasmyth Adaptive Optics System Near-Infrared Imager and Spectr…

2007

[1] Several ground-based telescopes followed the event of the Huygens probe descent through Titan's atmosphere (14 January 2005). We used the Nasmyth Adaptive Optics System Near-Infrared Imager and Spectrograph (NACO) adaptive optics system at the UT-4 of the Very Large Telescope in Chile to perform both spectroscopic and imaging measurements of Titan. We present here a selected sample of the spectra we acquired on 16 January 2005 in the K band between 2.03 and 2.40 μm. Our spectra include the Huygens landing site and surrounding dark and bright areas. We apply a radiative transfer code using new methane absorption coefficients calculated in the 2-μm region. The analysis of the data yields …

Atmospheric Science010504 meteorology & atmospheric sciencesSoil ScienceAquatic ScienceOceanography01 natural sciencesSpectral lineadaptive opticssymbols.namesakeOpticsGeochemistry and Petrology0103 physical sciencesEarth and Planetary Sciences (miscellaneous)Radiative transfersurfaceSpectroscopyAdaptive optics010303 astronomy & astrophysicsSpectrograph0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyPhysicsVery Large TelescopeEcology[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]business.industryNear-infrared spectroscopyPaleontologyForestryhaze[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Geophysics13. Climate actionSpace and Planetary Scienceradiative transferHuygenssymbolsbusinessTitan (rocket family)Titan
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Origin of atmospheric aerosols at the Pierre Auger Observatory using studies of air mass trajectories in South America

2014

The Pierre Auger Observatory is making significant contributions towards understanding the nature and origin of ultra-high energy cosmic rays. One of its main challenges is the monitoring of the atmosphere, both in terms of its state variables and its optical properties. The aim of this work is to analyze aerosol optical depth $\tau_{\rm a}(z)$ values measured from 2004 to 2012 at the observatory, which is located in a remote and relatively unstudied area of the Pampa Amarilla, Argentina. The aerosol optical depth is in average quite low - annual mean $\tau_{\rm a}(3.5~{\rm km})\sim 0.04$ - and shows a seasonal trend with a winter minimum - $\tau_{\rm a}(3.5~{\rm km})\sim 0.03$ -, and a sum…

Atmospheric Science010504 meteorology & atmospheric sciencesaerosolAstronomyObservatoriesAerosol concentrationAir pollution010501 environmental sciencesAtmospheric sciencesmedicine.disease_causeAerosols Atmospheric aerosols Augers Cosmic rays Observatories; Aerosol concentration Aerosol optical depths Air mass Atmospheric effects GDAS HYSPLIT Pierre Auger observatory Ultra high-energy cosmic rays; Meteorology; aerosol property air mass concentration (composition) optical depth trajectory urban area urban atmosphere; Argentina01 natural sciencesoptical depthObservatory11. Sustainabilityddc:550MeteorologiaAugersmedia_commonHigh Energy Astrophysical Phenomena (astro-ph.HE)Physicsconcentration (composition)Physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]urban atmosphereAtmospheric effectsGDASAtmospheric aerosolscosmic ray; aerosol; air masses; atmospheric effectPhysics - Atmospheric and Oceanic PhysicstrajectoryClimatologyComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHYSPLITAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaPollutionaerosol property[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]media_common.quotation_subjectatmospheric effectArgentinaFOS: Physical sciencesHYSPLITAtmósferaAtmosphereMeteorologycosmic raysmedicineAerosol optical depthsInstrumentation and Methods for Astrophysics (astro-ph.IM)Cosmic raysCiencias ExactasAir mass0105 earth and related environmental sciencesAerosols[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Pierre Auger ObservatoryFísicaASTROFÍSICA[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Aerosol13. Climate actionExperimental High Energy PhysicsAtmospheric and Oceanic Physics (physics.ao-ph)Pierre Auger observatoryAir massair massesUltra high-energy cosmic raysurban area
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Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation

2017

Source at https://doi.org/10.1109/JSTARS.2016.2641583. Gaussian process regression (GPR) has experienced tremendous success in biophysical parameter retrieval in the past years. The GPR provides a full posterior predictive distribution so one can derive mean and variance predictive estimates, i.e., point-wise predictions and associated confidence intervals. GPR typically uses translation invariant covariances that make the prediction function very flexible and nonlinear. This, however, makes the relative relevance of the input features hardly accessible, unlike in linear prediction models. In this paper, we introduce the sensitivity analysis of the GPR predictive mean and variance functions…

Atmospheric Science010504 meteorology & atmospheric sciencesoceanic chlorophyll prediction0211 other engineering and technologiesLinear prediction02 engineering and technology01 natural sciencesPhysics::Geophysicssymbols.namesakekernel methodsKrigingStatistics14. Life underwaterSensitivity (control systems)Gaussian process regression (GPR)Computers in Earth SciencesGaussian processVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsVDP::Technology: 500::Information and communication technology: 550Spectral bandsKernel methodPosterior predictive distributionsensitivity analysis (SA)Kernel (statistics)symbolsAlgorithm
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