Search results for "Invariant"

showing 10 items of 783 documents

"Table 10" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = …

2017

Invariant yield of $\phi$ meson for 5-10$\%$ centrality in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76~{\rm TeV}$.

2760.0Invariant yieldHigh Energy Physics::PhenomenologyHigh Energy Physics::ExperimentPB PB --> Phi XNuclear Experiment
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"Table 13" of "K$^{*}(892)^{0}$ and $\phi(1020)$ meson production at high transverse momentum in pp and Pb-Pb collisions at $\sqrt{s_\mathrm{NN}}$ = …

2017

Invariant yield of $\phi$ meson for 30-40$\%$ centrality in Pb-Pb collisions at $\sqrt{s_{\rm NN}}=2.76~{\rm TeV}$.

2760.0Invariant yieldHigh Energy Physics::PhenomenologyHigh Energy Physics::ExperimentPB PB --> Phi XNuclear Experiment
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"Table 2.3" of "Measurement of electrons from semileptonic heavy-flavour hadron decays at midrapidity in pp and Pb-Pb collisions at $\sqrt{s_{\rm{NN}…

2020

HFe cross section in Pb-Pb, 60-80 centrality

5023.01/(Nev*2*PI*PT)*D2(N)/DPT/DYRAPSemileptonic Heavy-Flavour Hadron DecaysCentrality 60-80%Invariant Yield
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"Table 2.2" of "Measurement of electrons from semileptonic heavy-flavour hadron decays at midrapidity in pp and Pb-Pb collisions at $\sqrt{s_{\rm{NN}…

2020

HFe cross section in Pb-Pb, 30-50 centrality

5023.01/(Nev*2*PI*PT)*D2(N)/DPT/DYRAPSemileptonic Heavy-Flavour Hadron DecaysInvariant YieldCentrality 30-50%
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"Table 2.1" of "Measurement of electrons from semileptonic heavy-flavour hadron decays at midrapidity in pp and Pb-Pb collisions at $\sqrt{s_{\rm{NN}…

2020

HFe cross section in Pb-Pb, 0-10 centrality

5023.0Centrality 0-10%1/(Nev*2*PI*PT)*D2(N)/DPT/DYRAPSemileptonic Heavy-Flavour Hadron DecaysInvariant Yield
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Variations of selective separability II: Discrete sets and the influence of convergence and maximality

2012

A space $X$ is called selectively separable(R-separable) if for every sequence of dense subspaces $(D_n : n\in\omega)$ one can pick finite (respectively, one-point) subsets $F_n\subset D_n$ such that $\bigcup_{n\in\omega}F_n$ is dense in $X$. These properties are much stronger than separability, but are equivalent to it in the presence of certain convergence properties. For example, we show that every Hausdorff separable radial space is R-separable and note that neither separable sequential nor separable Whyburn spaces have to be selectively separable. A space is called \emph{d-separable} if it has a dense $\sigma$-discrete subspace. We call a space $X$ D-separable if for every sequence of …

54D65 54A25 54D55 54A20H-separable spaceSubmaximalD+-separable spaceSequential spaceFUNCTION-SPACESSeparable spaceSpace (mathematics)INVARIANTSSeparable spaceCombinatoricsGN-separable spaceStrong fan tightnessM-separable spaceMaximal spaceConvergence (routing)Radial spaceFOS: MathematicsFréchet spaceCountable setStratifiable spaceWhyburn propertyTOPOLOGIESDH+-separable spaceTightnessMathematics - General TopologyMathematicsDH-separable spaceD-separable spaceSequenceExtra-resolvable spaceGeneral Topology (math.GN)Hausdorff spaceResolvableR-separable spaceLinear subspaceResolvable spaceSequentialDiscretely generated spaceSubmaximal spaceGeometry and TopologyTOPOLOGIES; FUNCTION-SPACES; INVARIANTSSS+ spaceFan tightnessCrowded spaceSubspace topologyTopology and its Applications
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Search for a common baryon source in high-multiplicity pp collisions at the LHC

2020

Physics letters / B B811, 135849 (2020). doi:10.1016/j.physletb.2020.135849

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]HadronHadron - hadron reactionHEAVY-ION COLLISIONSHigh multiplicityhiukkasfysiikkanucl-exdecay [resonance]01 natural sciencesHigh Energy Physics - ExperimentExperimentHigh Energy Physics - Experiment (hep-ex)hadron–hadron interactions LHC ALICEBarions; strong interaction; LHCALICEstrong resonance decayIonic Collisionsscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Nuclear ExperimentNuclear ExperimentBarionsPION INTERFEROMETRYhadron-hadron scatteringPhysicsLarge Hadron ColliderMesonsHadron - hadron reactionsmass: transversestrong interactionPhysicsbaryon correlations ; invariant radius ; strong hadron–hadron interactions ; strong resonance decayVDP::Kjerne- og elementærpartikkelfysikk: 431RadiusAU+AUInvariant (physics)lcsh:QC1-999quark gluon plasmaPRIRODNE ZNANOSTI. Fizika.HEAVY-ION COLLISIONS; PION INTERFEROMETRY; SIGMA(0) PRODUCTION; AU+AU; COLLISIONS; FEMTOSCOPY; SYSTEMS; PB:Nuclear and elementary particle physics: 431 [VDP]CERN LHC CollVDP::Nuclear and elementary particle physics: 431Transverse massLHCPBParticle Physics - Experimentbaryon correlationsCOLLISIONSNuclear and High Energy Physicsp p: scatteringHigh Energy Physics; ExperimentcollectiveFOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]530114 Physical sciencesNuclear physicsHadron - hadron reactions; LHCbaryon baryon: correlationSYSTEMSresonance: decay0103 physical sciencesfemtoscopyddc:530Nuclear Physics - ExperimentHigh Energy Physics010306 general physicshadron hadron: interactioninteraction [hadron hadron]010308 nuclear & particles physicshep-exhadron-hadron scattering ALICE experiment femtoscopySIGMA(0) PRODUCTIONHigh Energy Physics::PhenomenologyALICE experimentcorrelation [baryon baryon]Kaonsstrong hadron–hadron interactionsNATURAL SCIENCES. Physics.invariant radiusBaryonKaons; Ionic Collisions; Mesonstransverse [mass]Antiproton13000 GeV-cms/nucleonHigh Energy Physics::Experimentlcsh:Physicsexperimental results
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Inmersiones de superficies en Rn+2

2019

El objetivo principal de esta tesis es caracterizar, a través de relaciones entre sus invariantes, propiedades geométricas de superficies inmersas en R^{n+2}. Los invariantes de una superficie serán conceptos que sólo dependen del punto sobre la superficie. De manera que si consideramos una condición geométrica que sólo dependa del punto sobre la superficie, deberá haber una condición en términos de sus invariantes. En el estudio clásico de superficies en el espacio euclídeo de tres dimensiones, se definían los invariantes escalares de la curvatura de Gauss y la curvatura media. Se obtenía que ambos invariantes determinaban el invariante geométrico de las curvaturas principales, esto es, el…

:MATEMÁTICAS [UNESCO]inmersiones de superficiesespacio de lorentzinvariantes localesángulos de jordanUNESCO::MATEMÁTICASesferas
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Geometric factors in the adiabatic evolution of classical systems

1992

Abstract The adiabatic evolution of the classical time-dependent generalized harmonic oscillator in one dimension is analyzed in detail. In particular, we define the adiabatic approximation, obtain a new derivation of Hannay's angle requiring no averaging principle and point out the existence of a geometric factor accompanying changes in the adiabatic invariant.

Adiabatic theoremPhysicssymbols.namesakeClassical mechanicsGeometric phaseAdiabatic invariantsymbolsGeneral Physics and AstronomyAdiabatic quantum computationAdiabatic processHamiltonian (quantum mechanics)Geometric factorHarmonic oscillatorPhysics Letters A
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Size invariance in visual number discrimination

1991

This study deals with the observer's ability to discriminate the numerosity of two random dot-patterns irrespective of their relative size. One of these two patterns was a reference one that was always composed of 32 dots randomly distributed within a K x K invisible square window (K = 1.92 degrees). The second one was the test pattern with one of the five magnifications (K = 0.64 degrees, 1.28 degrees, 1.92 degrees, 2.56 degrees, 3.20 degrees) and the relative number of dots varied on 11 levels (N = -15, -12, -9, -6, -3, 0, 3, 6, 9, 12, or 15 dots). The observer's task was to indicate which of the two patterns contained more dots. The results show that the stimulus size, as an irrelevant s…

AdultMagnificationExperimental and Cognitive PsychologyStimulus (physiology)Discrimination LearningArts and Humanities (miscellaneous)OrientationPsychophysicsDevelopmental and Educational PsychologyPsychophysicsHumansAttentionDiscrimination learningSize PerceptionMathematicsCommunicationbusiness.industryNumerosity adaptation effectPattern recognitionGeneral MedicineObserver (special relativity)Invariant (physics)Pattern Recognition VisualSize PerceptionArtificial intelligencebusinessPsychological Research
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