Search results for "SPECTRA"

showing 10 items of 3542 documents

The B 1Pi state of NaCs: high resolution laser induced fluorescence spectroscopy and potential construction.

2007

The lowest (1)Pi state of the NaCs molecule, the B(1)(1)Pi state, was studied using a dye laser for inducing fluorescence that was resolved by a high resolution Fourier-transform spectrometer. The presence of argon buffer gas yielded rich rotational relaxation spectra allowing to enlarge the data set for the B(1)(1)Pi state, to obtain Lambda-splittings and to reveal numerous local perturbations. 543 weakly perturbed energy levels for rotational quantum numbers from J(')=5 to 168 and vibrational quantum numbers from v(')=0 to 25, which cover about 87% of the potential well depth, were used for a direct pointwise fit of the potential energy curve applying the inverted perturbation approach me…

Dye laserArgonSpectrometerChemistryBuffer gasAnalytical chemistryExtrapolationGeneral Physics and Astronomychemistry.chemical_elementQuantum numberPotential energyMolecular physicsSpectral linePhysical and Theoretical ChemistryThe Journal of chemical physics
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Dynamical decoupling efficiency versus quantum non-Markovianity

2015

We investigate the relationship between non-Markovianity and the effectiveness of a dynamical decoupling protocol for qubits undergoing pure dephasing. We consider an exact model in which dephasing arises due to a bosonic environment with a spectral density of the Ohmic class. This is parametrised by an Ohmicity parameter by changing which we can model both Markovian and non-Markovian environments. Interestingly, we find that engineering a non-Markovian environment is detrimental to the efficiency of the dynamical decoupling scheme, leading to a worse coherence preservation. We show that each dynamical decoupling pulse reverses the flow of quantum information and, on this basis, we investig…

Dynamical decouplingDephasingnon-Markovianity dynamical decoupling reservoir engineering Ohmic spectra pure dephasing open quantum systemsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciencesSettore FIS/03 - Fisica Della Materiareservoir engineering010305 fluids & plasmasOhmic spectra0103 physical sciencesStatistical physicsQuantum information010306 general physicsQuantumPhysicsQuantum PhysicsSpectral densitypure dephasingopen quantum systemsnon-Markovianitydynamical decouplingFlow (mathematics)QubitQuantum Physics (quant-ph)Coherence (physics)
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Stochastic response determination of structural systems modeled via dependent coordinates: a frequency domain treatment based on generalized modal an…

2019

Generalized independent coordinates are typically utilized within an analytical dynamics framework to model the motion of structural and mechanical engineering systems. Nevertheless, for complex systems, such as multi-body structures, an explicit formulation of the equations of motion by utilizing generalized, independent, coordinates can be a daunting task. In this regard, employing a set of redundant coordinates can facilitate the formulation of the governing dynamics equations. In this setting, however, standard response analysis techniques cannot be applied in a straightforward manner. For instance, defining and determining a transfer function within a frequency domain response analysis…

Dynamical systems theoryComputer scienceMechanical EngineeringModal analysisEquations of motion02 engineering and technologyCondensed Matter Physics01 natural sciencesTransfer functionAnalytical dynamicsTransfer function matrixMatrix (mathematics)Power spectral density matrix020303 mechanical engineering & transports0203 mechanical engineeringMechanics of MaterialsFrequency domain0103 physical sciencesAnalytical dynamicApplied mathematicsRandom vibration010301 acousticsSingular matrix
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Time operators, innovations and approximations

2003

Abstract We present a new approach to the spectral analysis and prediction of such complex systems for which the time evolution is described by a semigroup of operators. This approach is based on an extended concept of time operator and can be interpreted as a shift representation of dynamical systems. The time operator method includes the multiresolution analysis of wavelets as a particular case but can also be applied for a substantially larger class of dynamical systems. Among the examples where shift representation have been explicitly derived are exact endomorphisms, the diffusion equation, generalized shifts associated with the Haar or Faber–Schauder basis and some classes of stochast…

Dynamical systems theoryStochastic processSemigroupGeneral MathematicsApplied MathematicsMathematical analysisTime evolutionGeneral Physics and AstronomyStatistical and Nonlinear PhysicsSpectral theoremOperator theoryOperator (computer programming)Applied mathematicsRepresentation (mathematics)MathematicsChaos, Solitons & Fractals
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Time-dependent density-functional theory in the projector augmented-wave method

2008

We present the implementation of the time-dependent density-functional theory both in linear-response and in time-propagation formalisms using the projector augmented-wave method in real-space grids. The two technically very different methods are compared in the linear-response regime where we found perfect agreement in the calculated photoabsorption spectra. We discuss the strengths and weaknesses of the two methods as well as their convergence properties. We demonstrate different applications of the methods by calculating excitation energies and excited state Born–Oppenheimer potential surfaces for a set of atoms and molecules with the linear-response method and by calculating nonlinear e…

ELECTRONIC EXCITATIONStime propagationGeneral Physics and AstronomySpectral linelaw.inventionlinear responseATOMSlawQuantum mechanicsSPECTRAPhysical and Theoretical ChemistryEXCHANGEEQUATIONSPhysicsREAL-TIMEPhysicsAtoms in moleculesTime-dependent density functional theorytime-dependent density-functional theoryNonlinear systemProjectorRESPONSE THEORYphotoabsorptionExcited statenon-linear responseProjector augmented wave methodDensity functional theoryCLUSTERSAPPROXIMATION
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Temperature and doping dependence of normal state spectral properties in a two-orbital model for ferropnictides

2016

Using a second-order perturbative Green's functions approach we determined the normal state single-particle spectral function $A(\vec{k},\omega)$ employing a minimal effective model for iron-based superconductors. The microscopic model, used before to study magnetic fluctuations and superconducting properties, includes the two effective tight-binding bands proposed by S.Raghu et al. [Phys. Rev. B 77, 220503 (R) (2008)], and intra- and inter-orbital local electronic correlations, related to the Fe-3d orbitals. Here, we focus on the study of normal state electronic properties, in particular the temperature and doping dependence of the total density of states, $A(\omega)$, and of $A(\vec{k},\o…

ELECTRONIC PROPERTIESCiencias FísicasARPES; Correlated electron systems; Electronic properties; Green's functions; Iron based superconductors; Normal state spectral properties; Physics and Astronomy (all)Iron based superconductorsFOS: Physical sciencesGeneral Physics and AstronomyAngle-resolved photoemission spectroscopy02 engineering and technologyElectronCorrelated electron systems01 natural sciencesSuperconductivity (cond-mat.supr-con)RenormalizationPhysics and Astronomy (all)Condensed Matter - Strongly Correlated Electronssymbols.namesakeAtomic orbitalGREEN'S FUNCTIONS0103 physical sciencesGreen's functions010306 general physicsSuperconductivityPhysicsStrongly Correlated Electrons (cond-mat.str-el)Condensed matter physicsIRON BASED SUPERCONDUCTORSCondensed Matter - SuperconductivityFermi levelARPES021001 nanoscience & nanotechnologyAstronomíaBrillouin zoneElectronic propertiesNORMAL STATE SPECTRAL PROPERTIESDensity of statessymbolsNormal state spectral propertiesCORRELATED ELECTRON SYSTEMS0210 nano-technologyCIENCIAS NATURALES Y EXACTASPhysics Letters A
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Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging

2019

[EN] Persimmon fruit cv. 'Rojo Brillante' is an astringent cultivar due to its content of soluble tannins, which are insolubilised during the ripening of the fruit. Traditionally, the consumption of this cultivar has only been possible when the fruit is overripe and the texture is soft. Postharvest treatments based on exposing fruits to high CO2 concentrations allow astringency removal while preserving high flesh firmness. However, the effectiveness of this treatment is controlled by means of slow destructive methods. The aim of this work is to study the application of hyperspectral imaging in the spectral range 450-1040 nm to discriminate astringent (A) and deastringed (DA) fruits non-dest…

EXPRESION GRAFICA EN LA INGENIERIATECNOLOGIA DE ALIMENTOSbiologyAstringentAstringencyIniaHyperspectral imaging04 agricultural and veterinary sciencesbiology.organism_classification040401 food science03 medical and health sciencesHorticulture0404 agricultural biotechnology0302 clinical medicineSoluble tannins030221 ophthalmology & optometrymedia_common.cataloged_instanceComputer visionDiospyros kakiChemometricsEuropean unionFood ScienceMathematicsmedia_commonJournal of Food Engineering
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Trumpler 14 and 16 in the Carina nebula

2017

We present the first extensive spectroscopic study of the global population in star clusters Trumpler 16, Trumpler 14, and Collinder 232 in the Carina nebula, using data from the Gaia-ESO Survey, down to solar-mass stars. In addition to the standard homogeneous survey data reduction, a special processing was applied here because of the bright nebulosity surrounding Carina stars. We find about 400 good candidate members ranging from OB types down to slightly subsolar masses. About 100 heavily reddened early-type Carina members found here were previously unrecognized or poorly classified, including two candidate O stars and several candidate Herbig Ae/Be stars. Their large brightness makes th…

Early type starsAstrophysics and AstronomyRadial velocityPhysicsexoplanet astronomyX-ray sourcesstellar astronomyCosmologyobservational astronomyOpen star clustersPre main sequence starsX ray sourcesEarly-type starsStellar spectral typesNatural SciencesPre-main sequence starsSpectroscopy
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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

2021

The current exponential increase of spatiotemporally explicit data streams from satellite-based Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential vegetation variables by means of hybrid retrieval approaches, i.e., machine learning regression algorithms trained by radiative transfer model (RTM) simulations. In this study we summarize AL theory and perform a brief systematic literature survey about AL heuristics used in the context of Earth observation regression problems over terrestrial targets. Across all relevant studies it appeared that…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceActive learning (machine learning)Science0211 other engineering and technologiesEnMAP02 engineering and technologycomputer.software_genre01 natural sciencesKriging021101 geological & geomatics engineering0105 earth and related environmental sciencesData processingData stream miningQSampling (statistics)15. Life on landquery strategieshyperspectraloptimal experimental designGeneral Earth and Planetary SciencesData miningHeuristicsLiterature surveycomputerGaussian process regressionRemote Sensing
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A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation

2016

Gaussian processes (GPs) have experienced tremendous success in biogeophysical parameter retrieval in the last few years. GPs constitute a solid Bayesian framework to consistently formulate many function approximation problems. This article reviews the main theoretical GP developments in the field, considering new algorithms that respect signal and noise characteristics, extract knowledge via automatic relevance kernels to yield feature rankings automatically, and allow applicability of associated uncertainty intervals to transport GP models in space and time that can be used to uncover causal relations between variables and can encode physically meaningful prior knowledge via radiative tra…

Earth observation010504 meteorology & atmospheric sciencesGeneral Computer Science0211 other engineering and technologies02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Kernel (linear algebra)symbols.namesakeAtmospheric radiative transfer codesElectrical and Electronic EngineeringInstrumentationGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingbusiness.industryHyperspectral imagingFunction approximationsymbolsGlobal Positioning SystemGeneral Earth and Planetary SciencesData miningbusinesscomputerIEEE Geoscience and Remote Sensing Magazine
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