Search results for " parameter"

showing 10 items of 13688 documents

CCDC 1575390: Experimental Crystal Structure Determination

2017

Related Article: V. Piccialli, A. Tuzi, R. Centore|2017|Acta Crystallogr.,Sect.E:Cryst.Commun.|73|1603|doi:10.1107/S2056989017013391

9alpha11alpha-epoxy-5alpha-cholest-7-ene-3beta56alpha-triol 36-diacetateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Description of hard-sphere crystals and crystal-fluid interfaces: a comparison between density functional approaches and a phase-field crystal model.

2012

In materials science the phase field crystal approach has become popular to model crystallization processes. Phase field crystal models are in essence Landau-Ginzburg-type models, which should be derivable from the underlying microscopic description of the system in question. We present a study on classical density functional theory in three stages of approximation leading to a specific phase field crystal model, and we discuss the limits of applicability of the models that result from these approximations. As a test system we have chosen the three--dimensional suspension of monodisperse hard spheres. The levels of density functional theory that we discuss are fundamental measure theory, a …

: Physics [G04] [Physical chemical mathematical & earth Sciences]FOS: Physical sciencesHard spheresCondensed Matter - Soft Condensed Matterlaw.inventionCrystal: Physique [G04] [Physique chimie mathématiques & sciences de la terre]lawPhase (matter)Crystal modelVacancy defectSoft Condensed Matter (cond-mat.soft)Density functional theoryStatistical physicsCrystallizationFree parameterMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Optimized and automated estimation of vegetation properties: Opportunities for Sentinel-2

2014

La Biosfera es uno de los principales sistemas que conforman la Tierra. Su estudio permite comprender la relación entre la vegetación y el ciclo del carbono y cómo éste puede ser afectado por los cambios en los niveles de CO2 y los usos de suelo. Para el estudio de estas dinámicas a escala global y local, han sido desarrollados diversos modelos que son representaciones de la realidad en una escala y complejidad más simple. Parte de las variables de entrada de estos modelos son obtenidas mediante medidas de teledetección gracias al Global Climate Observing System (GCOS), que ha determinado un conjunto de 50 variables climáticas esenciales que contribuyen a los estudios de cambio climático qu…

:CIENCIAS TECNOLÓGICAS [UNESCO]:CIENCIAS TECNOLÓGICAS::Tecnología del espacio [UNESCO]leaf area indexUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología del espacio:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entorno [UNESCO]biophysical parameter retrievalradiative transfer models:CIENCIAS DE LA TIERRA Y DEL ESPACIO [UNESCO]leaf chlorophyll contentUNESCO::CIENCIAS TECNOLÓGICASLUT-based inversionempirical regression modelsmachine learningUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entornoSentinel-2UNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO
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Permeability of three-dimensional random fiber webs

1998

We report the results of essentially ab initio simulations of creeping flow through large threedimensional random fiber webs that closely resemble fibrous sheets such as paper and nonwoven fabrics. The computational scheme used in this Letter is that of the lattice-Boltzmann method and contains no free parameters concerning the properties of the porous medium or the dynamics of the flow. The computed permeability of the web is found to be in good agreement with experimental data, and confirms that permeability depends exponentially on porosity over a large range of porosity. [S0031-9007(97)05087-4]

:Engineering::Computer science and engineering [DRNTU]Materials sciencePhysicsfiber websAb initioGeneral Physics and AstronomyStokes flowcreeping flowPhysics::GeophysicsPermeability (earth sciences)Flow (mathematics)simulationsFiberComposite materialPorous mediumPorosityFree parameter
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Transverse momentum spectra and nuclear modification factors of charged particles in pp, p-Pb and Pb-Pb collisions at the LHC

2018

We report the measured transverse momentum ($p_{\rm T}$) spectra of primary charged particles from pp, p-Pb and Pb-Pb collisions at a center-of-mass energy $\sqrt{s_{\rm NN}} = 5.02$ TeV in the kinematic range of $0.15<p_{\rm T}<50$ GeV/$c$ and $|\eta|< 0.8$. A significant improvement of systematic uncertainties motivated the reanalysis of data in pp and Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV, as well as in p-Pb collisions at $\sqrt{s_{\rm NN}} = 5.02$ TeV, which is also presented. Spectra from Pb-Pb collisions are presented in nine centrality intervals and are compared to a reference spectrum from pp collisions scaled by the number of binary nucleon-nucleon collisions. For cent…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]heavy ion: scatteringHadronmomentum [up]binaryMULTIPLICITY DEPENDENCEPartonheavy ion: scattering ; transverse momentum: momentum spectrum ; quantum chromodynamics: matter ; parton: energy loss ; momentum: high ; up: momentum ; pp: scattering ; nucleus ; charged particle ; suppression ; energy dependence ; impact parameter ; transport theory ; nucleon nucleon ; CERN LHC Coll ; kinematics ; binarymomentum spectrum [transverse momentum]hiukkasfysiikkaKAONnucl-ex01 natural sciences7. Clean energy2760 GeV-cms/nucleonHigh Energy Physics - Experimenttransverse momentum: momentum spectrumHeavy Ion Experiments; Heavy-ion collision; Nuclear and high energy physicsHigh Energy Physics - Experiment (hep-ex)quark gluon plasma Heavy Ion Experiments Heavy-ion collisionnucleon nucleonHeavy-ion collisionhigh [momentum]PIONscattering [p p]transport theory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear Experiment (nucl-ex)impact parameterNuclear ExperimentNuclear ExperimentQCD matterparticle production and suppressionPhysicsPhysicsHADRONSheavy ion experiments heavy ion collision particle production and suppressionHeavy Ion Experiments; Heavy-ion collisionVDP::Kjerne- og elementærpartikkelfysikk: 431suppressionCENTRALITY DEPENDENCEcharged particleCharged particleMULTIPLICITY DEPENDENCE; CENTRALITY DEPENDENCE; HADRONS; SUPPRESSION; MODEL; KAON; PIONquark gluon plasma:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]:Nuclear and elementary particle physics: 431 [VDP]CERN LHC CollVDP::Nuclear and elementary particle physics: 431kinematicsHeavy Ion ExperimentImpact parameterParticle Physics - ExperimentHeavy Ion Experiments Heavy-ion collision Nuclear and High Energy Physics.Nuclear and High Energy Physicsp p: scatteringnucleon nucleon: scatteringenergy loss [parton]FOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesenergy dependenceNuclear physicsPionHeavy Ion Experiments[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [heavy ion]0103 physical sciencesmatter [quantum chromodynamics]lcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:530Nuclear Physics - Experiment5020 GeV-cms/nucleonup: momentum010306 general physicsp nucleus: scatteringquantum chromodynamics: matterta114010308 nuclear & particles physicshep-exnucleus:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Nuclear and high energy physicsheavy ion collisionMODEL* Automatic Keywords *13. Climate actionmomentum: highQuark–gluon plasmalcsh:QC770-798High Energy Physics::Experimentparton: energy lossEnergy (signal processing)experimental results
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Ion–Molecule Rate Constants for Reactions of Sulfuric Acid with Acetate and Nitrate Ions

2022

Atmospheric nucleation from precursor gases is a significant source of cloud condensation nuclei in the troposphere and thus can affect the Earth's radiative balance. Sulfuric acid, ammonia, and amines have been identified as key nucleation precursors in the atmosphere. Studies have also shown that atmospheric ions can react with sulfuric acid to form stable clusters in a process referred to as ion-induced nucleation (IIN). IIN follows similar reaction pathways as chemical ionization, which is used to detect and measure nucleation precursors via atmospheric pressure chemical ionization mass spectrometers. The rate at which ions form clusters depends on the ion-molecule rate constant. Howeve…

ACETIC-ACIDSCOLLISIONSDIMETHYLAMINEanionitionitsulfuric acidkinetic parametersAEROSOLCOSMIC-RAYS114 Physical sciencesCHEMICAL-IONIZATIONPARTICLE FORMATIONionsPhysical and Theoretical ChemistryORGANIC-ACIDSanionsorganic compoundsorgaaniset yhdisteetCARBOXYLIC-ACIDSNUCLEATIONThe Journal of Physical Chemistry A
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Calibration of microscopic traffic simulation models for evaluating operation and safety performance at roundabouts

AIMSUN microsimulation roundabout genetic algorithmSSAM surrogate safety measureturbo-roundaboutsingle-lane roundabouts; double-lane roundabouts; turbo-roundabouts; entry capacity; operations; gap- acceptance parameters; Systematic Review; Meta-analysis; capacity uncertainty; AIMSUN microsimulation roundabout genetic algorithm; passenger car equivalent; SSAM surrogate safety measurecapacity uncertaintygap- acceptance parameteroperationsingle-lane roundaboutpassenger car equivalentSettore ICAR/04 - Strade Ferrovie Ed AeroportiMeta-analysiSystematic Reviewdouble-lane roundaboutentry capacity
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A parametric description of the 3D structure of the Galactic bar/bulge using the VVV survey

2017

We study the structure of the inner Milky Way using the latest data release of the Vista Variables in Via Lactea (VVV) survey. The VVV is a deep near-infrared, multi-colour photometric survey with a coverage of 300 square degrees towards the Bulge/Bar. We use Red Clump (RC) stars to produce a high-resolution dust map of the VVV's field of view. From de-reddened colour-magnitude diagrams we select Red Giant Branch stars to investigate their 3D density distribution within the central 4 kpc. We demonstrate that our best-fit parametric model of the Bulge density provides a good description of the VVV data, with a median percentage residual of 5$\%$ over the fitted region. The strongest of the o…

Absolute magnitudeInitial mass functionastro-ph.GAMilky WayFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesGalaxy: bulgeBulge0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsRed clumpGalaxy: structureAstrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSLuminosity function (astronomy)Physics010308 nuclear & particles physicsGalactic CenterAstronomyAstronomy and AstrophysicsGalaxy: fundamental parametersAstrophysics - Astrophysics of GalaxiesGalaxy: centregalaxies: individual: Milky WayRed-giant branchSpace and Planetary ScienceGalaxy: formationAstrophysics of Galaxies (astro-ph.GA)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Gaia -ESO Survey: Analysis of pre-main sequence stellar spectra

2015

This paper describes the analysis of UVES and GIRAFFE spectra acquired by the Gaia-ESO Public Spectroscopic Survey in the fields of young clusters whose population includes pre-main sequence (PMS) stars. Both methods that have been extensively used in the past and new ones developed in the contest of the Gaia-ESO survey enterprise are available and used. The internal precision of these quantities is estimated by inter-comparing the results obtained by such different methods, while the accuracy is estimated by comparison with independent external data, like effective temperature and surface gravity derived from angular diameter measurements, on a sample of benchmarks stars. Specific strategi…

Accuracy and precisionPopulationFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysicsstars: pre-main sequenceSurveysfundamental parameters [Stars]Astronomical spectroscopysurveysAngular diameterpre-main sequence [Stars]Astrophysics::Solar and Stellar AstrophysicsSurveydata analysis [Methods]educationSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsAstronomía y AstrofísicaPhysicseducation.field_of_studygeneral [Open clusters and associations][SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Astronomy and AstrophysicsStars: fundamental parameterAstronomy and AstrophysicEffective temperatureopen clusters and associations: generalSurface gravitymethods: data analysisAccretion (astrophysics)StarsAstrophysics - Solar and Stellar AstrophysicsMethods: data analysis; Open clusters and associations: general; Stars: fundamental parameters; Stars: pre-main sequence; Surveys; Astronomy and Astrophysics; Space and Planetary ScienceSpace and Planetary Science[SDU]Sciences of the Universe [physics]open clusters and associations: general; surveys ; methods: data analysisAstrophysics::Earth and Planetary Astrophysicsstars: fundamental parametersMethods: data analysi
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Hydrolysis and chemical speciation of dioxouranium(VI) ion in aqueous media simulating the major ion composition of seawater

2004

Abstract The hydrolysis and chemical speciation of the dioxouranium(VI) ion at 25 °C was studied in a number of binary electrolytes (LiCl, NaCl, MgCl2, CaCl2, Na2SO4) and some mixtures (NaCl–Na2SO4, NaNO3–Na2SO4, CaCl2–MgCl2) as well as artificial seawater (SSWE) as a function of ionic strength. The results in LiCl, CaCl2 and MgCl2 solutions confirmed the formation of (UO2)2(OH)22+, (UO2)3(OH)42+, (UO2)3(OH)5+ and (UO2)3(OH)7− species (at I=0 mol l−1: log Tβ22=−5.76, log Tβ34=−11.82, log Tβ35=−15.89 and log Tβ37=−29.26). For NaNO3, NaCl and artificial seawater the hydrolysis constant for the formation of the UO2(OH)+ species was also determined (at I=0 mol l−1: log Tβ11=−5.19). The results …

Activity coefficientHydrolysis constantUranium speciationAqueous solutionChemistryHydrolysisInorganic chemistryPitzer parametersIonic bondingArtificial seawaterGeneral ChemistryDependence on ionic strengthOceanographyUranylIon pair formationIonDioxouranium(VI)chemistry.chemical_compoundIonic strengthEnvironmental ChemistryChemical speciationHydrolysis; Dioxouranium(VI); Chemical speciation; Seawater; Dependence on ionic strength; Dependence on ionic medium; Pitzer parameters; Ion pair formationSeawaterDependence on ionic mediumWater Science and Technology
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