Search results for "Method"

showing 10 items of 13253 documents

Search for strong gravity signatures in same-sign dimuon final states using the ATLAS detector at the LHC

2012

A search for microscopic black holes has been performed in a same-sign dimuon final state using 1.3 fb[superscript −1] of proton–proton collision data collected with the ATLAS detector at a centre of mass energy of 7 TeV at the CERN Large Hadron Collider. The data are found to be consistent with the expectation from the Standard Model and the results are used to derive exclusion contours in the context of a low scale gravity model.

Atlas detectorPhysics::Instrumentation and DetectorsHadron01 natural sciencesHigh Energy Physics - ExperimentMicro black holeHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentDetectors de radiacióPhysicsINTERAÇÕES NUCLEARESLarge Hadron ColliderBLACK HOLEAtlas (topology)Strong gravityAcceleradors de partículesExtra DimensionsSettore FIS/01 - Fisica SperimentaleMicroscopic black holesATLASExtra dimensionsLarge Hadron ColliderComputingMethodologies_DOCUMENTANDTEXTPROCESSINGExtra dimensionsAtlasLHCParticle Physics - ExperimentNuclear and High Energy PhysicsParticle physicsDIMENSIONSCOLLISIONSSame-sign dimuonsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2GRAVITY ON BRANE WORLDS530Partícules (Física nuclear)Nuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsBLACK-HOLESMILLIMETERCiencias ExactasScience & TechnologyROOT-S=7 TEVATLAS detector010308 nuclear & particles physicssame-sign dimuons; microscopic black holes; extra dimensions; lhc; atlasFísicaCollisionLHC; ATLAS; Microscopic black holes; Extra dimensions; Same-sign dimuonsHADRON-HADRON COLLISIONSCol·lisions (Física nuclear)Experimental High Energy PhysicsPhysics::Accelerator PhysicsHigh Energy Physics::Experiment
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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) – 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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Astrophysical neutrinos and cosmic rays observed by IceCube

2018

The core mission of the IceCube neutrino observatory is to study the origin and propagation of cosmic rays. IceCube, with its surface component IceTop, observes multiple signatures to accomplish this mission. Most important are the astrophysical neutrinos that are produced in interactions of cosmic rays, close to their sources and in interstellar space. IceCube is the first instrument that measures the properties of this astrophysical neutrino flux and constrains its origin. In addition, the spectrum, composition, and anisotropy of the local cosmic-ray flux are obtained from measurements of atmospheric muons and showers. Here we provide an overview of recent findings from the analysis of Ic…

Atmospheric ScienceAstrophysics::High Energy Astrophysical PhenomenaAerospace EngineeringCosmic rayAstrophysicsPhysics and Astronomy(all)7. Clean energy01 natural sciencesIceCube Neutrino ObservatoryIceCubecosmic raysObservatory0103 physical sciencesNeutrinos010303 astronomy & astrophysicsCosmic raysPhysicsMuon010308 nuclear & particles physicsGamma rayAstrophysics::Instrumentation and Methods for AstrophysicsneutrinosAstronomyAstronomy and AstrophysicsGeophysicsCosmic rays; IceCube; Neutrinos; Aerospace Engineering; Space and Planetary ScienceNeutrino detector13. Climate actionSpace and Planetary SciencePhysique des particules élémentairesGeneral Earth and Planetary SciencesNeutrinoNeutrino astronomy
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In situ detection of atomic and molecular iodine using resonance and off-resonance fluorescence by lamp excitation: ROFLEX

2018

17 pags, 11 figs, 4 tabs

Atmospheric ScienceAtmospheric pressureAbsorption spectroscopylcsh:TA715-787Chemistrylcsh:Earthwork. FoundationsPhotodissociationAstrophysics::Instrumentation and Methods for AstrophysicsAnalytical chemistryResonanceFluorescencePhoton countinglcsh:Environmental engineeringExcited statelcsh:TA170-171Atomic physicsExcitation
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Validation of a novel automatic deposition of bacteria and yeasts on MALDI target for MALDI-TOF MS-based identification using MALDI Colonyst robot

2017

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) -based identification of bacteria and fungi significantly changed the diagnostic process in clinical microbiology. We describe here a novel technique for bacterial and yeast deposition on MALDI target using an automated workflow resulting in an increase of the microbes' score of MALDI identification. We also provide a comparison of four different sample preparation methods. In the first step of the study, 100 Gram-negative bacteria, 100 Gram-positive bacteria, 20 anaerobic bacteria and 20 yeasts were spotted on the MALDI target using manual deposition, semi-extraction, wet deposition onto 70% formic …

Atmospheric ScienceCarboxylic Acidslcsh:MedicineAnaerobic BacteriaResearch and Analysis MethodsMicrobiologyMass SpectrometryAnalytical ChemistryAutomationSpectrum Analysis TechniquesYeastsEnvironmental Chemistrylcsh:ScienceMatrix-Assisted Laser Desorption Ionization Time-of-Flight Mass SpectrometryGram Negative BacteriaBacteriaOrganic Compoundslcsh:REcology and Environmental SciencesGram Positive BacteriaFormic AcidOrganic ChemistryOrganismsFungiChemical CompoundsBiology and Life SciencesEukaryotaBacteriologyRoboticsYeastChemistryAtmospheric ChemistrySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationPhysical SciencesEarth Scienceslcsh:QAcid DepositionAcidsResearch ArticlePLoS ONE
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