Search results for " experiments"

showing 10 items of 315 documents

Application of entropic approach to estimate the mean flow velocity and Manning roughness coefficient in a high-curvature flume

2016

The entropy-based approach allows the estimation of the mean flow velocity in open channel flow by using the maximum flow velocity. The linear relationship between the mean velocity, umax, and the mean flow velocity, um, through the dimensionless parameter Φ(M), has been verified both in natural rivers and in laboratory channels. Recently, the authors of this study investigated the reliability of the entropy-based formula in a straight channel and under different bed and side-walls' roughness conditions. The present study aims to further validate the entropy-based approach and to explore the effectiveness of entropy-based formula in high curvature channels. Results show that as the effect o…

010504 meteorology & atmospheric sciencesChézy formulaAdvection0208 environmental biotechnologyMaximum flow problemMathematical analysis02 engineering and technologyCurvature01 natural sciencesSettore ICAR/01 - Idraulica020801 environmental engineeringOpen-channel flowRivers monitoring simulation discharge entropy experimentsFlumeStatisticsEntropy (information theory)0105 earth and related environmental sciencesWater Science and TechnologyMathematicsDimensionless quantityHydrology Research
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Origin of primitive ultra-calcic arc melts at crustal conditions — Experimental evidence on the La Sommata basalt, Vulcano, Aeolian Islands

2016

International audience; To interpret primitive magma compositions in the Aeolian arc and contribute to a better experimental characterization of ultra-calcic arc melts, equilibrium phase relations have been determined experimentally for the La Sommata basalt (Som-1, Vulcano, Aeolian arc). Som-1 (Na2O + K2O = 4.46 wt.%, CaO = 12.97 wt.%, MgO = 8.78 wt.%, CaO/Al2O3 = 1.03) is a reference primitive ne-normative arc basalt with a strong ultra-calcic affinity. The experiments have been performed between 44 and 154 MPa, 1050 and 1150 °C and from NNO + 0.2 to NNO + 1.9. Fluid-present conditions were imposed with H2O–CO2 mixtures yielding melt H2O concentrations from 0.7 to 3.5 wt.%. Phases encount…

010504 meteorology & atmospheric sciencesGeochemistryLiquidusengineering.material010502 geochemistry & geophysics01 natural sciencesPrimitive arc magmasMantle (geology)law.inventionVulcanoGeochemistry and PetrologylawUltra-calcic[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyPlagioclaseCrystallizationPetrology0105 earth and related environmental sciencesBasaltAeolian arcOlivineSettore GEO/07 - Petrologia E PetrografiaCrustGeophysics13. Climate actionPrimitive arc magmas Ultra-calcic Experiments Phase equilibria Vulcano Aeolian arcengineeringPhenocrystPhase equilibriaExperimentsGeology
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Observation of classically 'forbidden' electromagnetic wave propagation and implications for neutrino detection.

2018

Ongoing experimental efforts in Antarctica seek to detect ultra-high energy neutrinos by measurement of radio-frequency (RF) Askaryan radiation generated by the collision of a neutrino with an ice molecule. An array of RF antennas, deployed either in-ice or in-air, is used to infer the properties of the neutrino. To evaluate their experimental sensitivity, such experiments require a refractive index model for ray tracing radio-wave trajectories from a putative in-ice neutrino interaction point to the receiving antennas; this gives the degree of signal absorption or ray bending from source to receiver. The gradient in the density profile over the upper 200 meters of Antarctic ice, coupled wi…

010504 meteorology & atmospheric sciencesWave propagationAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciences01 natural sciencesElectromagnetic radiationAtomicIce shelfParticle and Plasma Physics0103 physical sciencesddc:530NuclearInstrumentation and Methods for Astrophysics (astro-ph.IM)Physics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)geographygeography.geographical_feature_categoryultra high energy photons and neutrinos010308 nuclear & particles physicsMolecularAstronomy and AstrophysicsNuclear & Particles PhysicsComputational physicsRay tracing (physics)Radio propagationNeutrino detectorcosmic ray experimentsNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaAstronomical and Space SciencesRadio wave
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Diet Quality Limits Summer Growth of Field Vole Populations

2014

Marked variation occurs in both seasonal and multiannual population density peaks of northern European small mammal species, including voles. The availability of dietary proteins is a key factor limiting the population growth of herbivore species. The objective of this study is to investigate the degree to which protein availability influences the growth of increasing vole populations. We hypothesise that the summer growth of folivorous vole populations is positively associated with dietary protein availability. A field experiment was conducted over a summer reproductive period in 18 vegetated enclosures. Populations of field voles (Microtus agrestis) were randomised amongst three treatment…

0106 biological sciencesMaleLow proteinPopulation Dynamicsfood supplementation experimentslcsh:Medicine01 natural sciencesPopulation densityPregnancylcsh:Science2. Zero hungereducation.field_of_studyMultidisciplinarybiologyEcologyEcologyArvicolinaeTerrestrial EnvironmentsMammalogyFemaleDietary ProteinsSeasonsResearch ArticleMetapopulation DynamicsEcological MetricsField volePopulationta1172010603 evolutionary biologyAnimal sciencePopulation Metricssmall mammalsAnimalsTerrestrial EcologyMicrotuseducationPopulation GrowthBiologyPopulation DensityPopulation Biology010604 marine biology & hydrobiologylcsh:Rbiology.organism_classificationDietDietary SupplementsPopulation cycleta1181Volelcsh:QPopulation EcologyZoologyBlood samplingEcological EnvironmentsPlos One
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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The use of exploratory experimental designs combined with thermal numerical modelling to obtain a predictive tool for hybrid laser/MIG welding and co…

2011

Abstract While hybrid laser welding and coating processes involve a large number of physical phenomena, it is currently impossible to predict, for a given set of influencing factors, the shape of the molten zone and the history of temperature fields inside the parts. This remains true for complex processes, such as the hybrid laser/MIG welding process, which consists in combining a laser beam with a MIG torch. The gains obtained result essentially from the synergy of the associated processes: the stability of the process, the quality of the seam realized, and the productivity are increased. This article shows how, by means of a reduced number of experiments (8), it is possible to predict th…

0209 industrial biotechnologyMaterials scienceDesign of experimentsProcess (computing)Mechanical engineeringLaser beam welding02 engineering and technologyengineering.material021001 nanoscience & nanotechnologyLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic MaterialsGas metal arc weldinglaw.invention020901 industrial engineering & automationCoatinglawThermalengineeringElectrical and Electronic Engineering0210 nano-technologyComputingMilieux_MISCELLANEOUS
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Global sensitivity analysis in welding simulations -- what are the material data you really need ?

2011

In this paper, the sensitivity analysis methodology is applied to numerical welding simulation in order to rank the importance of input variables on the outputs of the code like distorsions or residual stresses. The numerical welding simulation uses the finite element method, with a thermal computation followed by a mechanical one. Classically, a local sensitivity analysis is performed, hence the validity of the results is limited to the neighbourhood of a nominal point, and cross effects cannot be detected. This study implements a global sensitivity analysis which allows to screen the whole material space of the steel family mechanical properties. A set of inputs of the mechanical model-ma…

0209 industrial biotechnology[ SPI.MECA.STRU ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]02 engineering and technologyWeldingFinite Element[ PHYS.MECA.STRU ] Physics [physics]/Mechanics [physics]/Mechanics of the structures [physics.class-ph]law.invention020901 industrial engineering & automation[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]0203 mechanical engineeringlawPoint (geometry)Sensitivity (control systems)numerical experimentsMathematicsApplied MathematicsGeneral EngineeringSampling (statistics)Computer Graphics and Computer-Aided DesignFinite element method[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]welding simulation020303 mechanical engineering & transportsLatin hypercube samplingRanking[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]Variance-based sensitivity analysisAlgorithmAnalysis
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Reducing sample size in experiments with animals: historical controls and related strategies

2015

Reducing the number of animal subjects used in biomedical experiments is desirable for ethical and practical reasons. Previous reviews of the benefits of reducing sample sizes have focused on improving experimental designs and methods of statistical analysis, but reducing the size of control groups has been considered rarely. We discuss how the number of current control animals can be reduced, without loss of statistical power, by incorporating information from historical controls, i.e. subjects used as controls in similar previous experiments. Using example data from published reports, we describe how to incorporate information from historical controls under a range of assumptions that mig…

0301 basic medicineComputer scienceDesign of experimentsControl (management)Control subjects01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyStatistical power010104 statistics & probability03 medical and health sciences030104 developmental biologySample size determinationStatisticsRange (statistics)Statistical analysis0101 mathematicsGeneral Agricultural and Biological SciencesStatistical hypothesis testingBiological Reviews
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Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall

2019

Documento escrito por un elevado número de autores/as, sólo se referencia el/la que aparece en primer lugar y los/as autores/as pertenecientes a la UC3M For the past several years, the JET scientific programme (Pamela et al 2007 Fusion Eng. Des. 82 590) has been engaged in a multi-campaign effort, including experiments in D, H and T, leading up to 2020 and the first experiments with 50%/50% D–T mixtures since 1997 and the first ever D–T plasmas with the ITER mix of plasma-facing component materials. For this purpose, a concerted physics and technology programme was launched with a view to prepare the D–T campaign (DTE2). This paper addresses the key elements developed by the JET programme d…

:Física [Ciências exactas e naturais]Nuclear engineeringPLASMASCONFINEMENTfusion power7. Clean energy01 natural sciences010305 fluids & plasmaslaw.inventionlawTRANSPORT EXPERIMENTSFusió nuclearMODESettore FIS/01Jet (fluid)fusion power ; JET ; tritium ; isotopeILW DIVERTORIsotopetritiumPhysicsSettore ING-IND/18 - Fisica dei Reattori NuclearimodeInjectorCondensed Matter PhysicsFusion Plasma and Space PhysicsSettore ING-IND/20 - Misure e Strumentazione Nucleariconfinementperformance[PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn]Nuclear and High Energy PhysicsTechnology and Engineeringfusion power; JET; tritium; isotopetransport experimentsPlasma (Gasos ionitzats)Tritium114 Physical sciencesFísica FísicaFusion plasma och rymdfysik:Physical sciences [Natural sciences]0103 physical sciencesThermalFusion powerFusiónNeutronddc:530010306 general physicsisotopePhysics Physical sciencesQC717fusion power; isotope; JET; tritiumPlasma (Ionized gases)Spectrometer:Física [Àrees temàtiques de la UPC]FísicaPlasmaFusion powerPERFORMANCEplasmasilw divertorHigh-confinement mode13. Climate actionJetJETEnvironmental scienceNuclear fusion
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Particle identification in ALICE: a Bayesian approach

2016

We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss ($\mathrm{d}E/\mathrm{d}x$) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels ${\rm K}^0_S \righta…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Monte Carlo methodGeneral Physics and AstronomyPID controllerPP01 natural sciencesParticle identificationHigh Energy Physics - ExperimentParticle identificationHigh Energy Physics - Experiment (hep-ex)ALICEHadron-Hadron scattering (experiments)Heavy-ion collisionNuclear and High Energy Physics Hadron-Hadron scattering (experiments) Heavy Ion Experiments Heavy-ion collision Quark gluon plasma Particle identification Bayesianscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Detectors and Experimental TechniquesNuclear ExperimentNuclear ExperimentPhysicsefficiency [particle identification]PB COLLISIONSVDP::Kjerne- og elementærpartikkelfysikk: 431Monte Carlo [numerical calculations]PB COLLISIONS PP PERFORMANCE.:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.Time of flight:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431performancemomentum spectrum [charged particle]Nuclear and High Energy PhysicsParticle physicsMesoneducationBayesian probabilityFOS: Physical sciencesQuark gluon plasma[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBayesianNuclear physicsPhysics and Astronomy (all)PionHeavy Ion Experiments0103 physical sciencesddc:530010306 general physics010308 nuclear & particles physicsBayesian approach:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentPERFORMANCEparticle identification ; Bayesian approachNATURAL SCIENCES. Physics.PB COLLISIONS; TEV; PP; PERFORMANCEPhysics - Data Analysis Statistics and ProbabilityQuark–gluon plasmaBayesian [statistics]TEVHigh Energy Physics::Experimentparticle identificationData Analysis Statistics and Probability (physics.data-an)
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