Search results for "Yields"

showing 10 items of 79 documents

"Table 4" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class IV+V, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonancePhysics::GeophysicsV0M Multiplicity
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"Table 6" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class VII, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonanceV0M Multiplicity
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"Table 9" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class X, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonanceV0M Multiplicity
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"Table 3" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class III, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonanceV0M Multiplicity
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"Table 8" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class IX, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonanceV0M Multiplicity
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"Table 5" of "Multiplicity dependence of K*(892)$^{0}$ and $\phi$(1020) production in pp collisions at $\sqrt{s}$ = 13 TeV"

2020

K$^{*0}$ transverse momentum spectrum - V0M multiplicity class VI, average of particle and antiparticle

Physics::General PhysicsP P --> Kstar+XKstar13000.0YieldsProton-Proton CollisionsSIGResonanceV0M Multiplicity
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The upgraded ISOLDE yield database – A new tool to predict beam intensities

2020

At the CERN-ISOLDE facility a variety of radioactive ion beams are available to users of the facility. The number of extractable isotopes estimated from yield database data exceeds 1000 and is still increasing. Due to high demand and scarcity of available beam time, precise experiment planning is required. The yield database stores information about radioactive beam yields and the combination of target material and ion source needed to extract a certain beam along with their respective operating conditions. It allows to investigate the feasibility of an experiment and the estimation of required beamtime. With the increasing demand for ever more exotic beams, needs arise to extend the functi…

Radioactive ion beamsNuclear and High Energy PhysicsYieldsComputer sciencecomputer.software_genre114 Physical sciences01 natural sciencesISOLDEDatabaseFLUKACERN0103 physical sciencesddc:530Production Yield010306 general physicsInstrumentationLarge Hadron ColliderDatabase010308 nuclear & particles physicsIn-target productionYield predictionCross sectionsYield (chemistry)ABRABLAIONIZATIONRelease efficiencycomputerRadioactive beamBeam (structure)Radioactive beamsNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Simulation of the effects of climate change on barley yields in rural Italy

2009

The Greenhouse effect is considered to be one of the most influential factors on climate change today, especially where temperature and rainfall levels/distribution are concerned, making it of considerable importance in the field of Agronomy. Crop growth and development simulation models are a valuable cognitive tool in understanding water and nutrient dynamics in soil/plant systems. This paper looks at the direct and indirect effects of climatic changes on average barley yields. The complex nature of the study rendered the use of mathematical simulation models essential, both for predicting future climate conditions and for the simulation of crop growth and development. Of the different si…

Simulation model climate variability barley yields in rural areasSettore AGR/02 - Agronomia E Coltivazioni Erbacee
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Impact of the use of sterically congested Ir(III) complexes on the performance of light-emitting electrochemical cells

2018

International audience; The synthesis, structural and optoelectronic characterization of a family of sterically congested cyclometalated cationic Ir(iii) complexes of the form [Ir(C^N)2(dtBubpy)]PF6 (with dtBubpy = 4,4′-di-tert-butyl-2,2′-bipyridine and C^N = a cyclometalating ligand decorated at the 4-position of the pyridine ring and/or the 3-position of the phenyl ring with a range of sterically bulky substituents) are reported. This family of complexes is compared to the unsubstituted analogue complex R1 bearing 2-phenylpyridinato as cyclometalating ligand. The impact of sterically bulky substituents on the C^N ligands on both the solid state photophysics and light-emitting electrochemi…

Steric effectsPhotoluminescenceMaterials scienceSterically congested02 engineering and technology010402 general chemistryRing (chemistry)Ligands01 natural sciencesElectrochemical cellchemistry.chemical_compoundPyridineMaterials ChemistryOptoelectronic characterization[CHIM.COOR]Chemical Sciences/Coordination chemistryLight-emitting electrochemical cell[PHYS]Physics [physics]X ray powder diffractionLigandChelationYellow luminescenceCationic polymerizationDevice performancePhotoluminescence quantum yieldsGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesCyclometalating ligandCrystallographychemistrySynthesis (chemical)Iridium compounds0210 nano-technologyLuminescence[CHIM.OTHE]Chemical Sciences/OtherInternuclear distances
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"Table 6" of "Inclusive $\Upsilon$ production in p-Pb collisions at $\sqrt{s_{\rm NN}}$ = 8.16 TeV"

2020

Ratio of $\Upsilon$(2S) over $\Upsilon$(1S) yields in p--Pb collisions at $\sqrt{s_{\rm NN}}$ = 8.16 TeV .The first uncertainty is statistical, while the second is the systematic.

UPSILON(2S)YIELDS/UPSILON(1S)YIELDSP PB --> UPSILON(NS) X8160.0
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