Search results for "moment"

showing 10 items of 3027 documents

Hierarchies of probabilistic and team FIN-learning

2001

AbstractA FIN-learning machine M receives successive values of the function f it is learning and at some moment outputs a conjecture which should be a correct index of f. FIN learning has two extensions: (1) If M flips fair coins and learns a function with certain probability p, we have FIN〈p〉-learning. (2) When n machines simultaneously try to learn the same function f and at least k of these machines output correct indices of f, we have learning by a [k,n]FIN team. Sometimes a team or a probabilistic learner can simulate another one, if their probabilities p1,p2 (or team success ratios k1/n1,k2/n2) are close enough (Daley et al., in: Valiant, Waranth (Eds.), Proc. 5th Annual Workshop on C…

Discrete mathematics020203 distributed computingProbabilistic learningConjectureFinGeneral Computer ScienceIndex (typography)Probabilistic logicInductive inference0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesTheoretical Computer ScienceMoment (mathematics)Computational learning theory010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringTeam learningAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
researchProduct

Basis-set completeness profiles in two dimensions

2002

A two-electron basis-set completeness profile is proposed by analogy with the one-electron profile introduced by D. P. Chong (Can J Chem 1995, 73, 79). It is defined as Y(alpha, beta) = sigmam sigman (Galpha(1)Gbeta(2)/(1/r12)/ psim(1)psin(2)) (psim(1)psin(2)/r12/Galpha(1)Gp(2)) and motivated by the expression for the basis-set truncation correction that occurs in the framework of explicitly correlated methods (Galpha is a scanning Gaussian-type orbital of exponent alpha and [psim] is the orthonormalized one-electron basis under study). The two-electron basis-set profiles provide a visual assessment of the suitability of basis sets to describe electron-correlation effects. Furthermore, they…

Discrete mathematicsComputational MathematicsAngular momentumBasis (linear algebra)TruncationCompleteness (order theory)ExponentGeneral ChemistryExpression (computer science)Linear subspaceBasis setMathematicsJournal of Computational Chemistry
researchProduct

C3v Top Data System (C3vTDS) software for spectrum simulation of XY3Z symmetric-top molecules using the group chain

2010

Abstract The C3v Top Data System (C3vTDS) program suite has been developed with the aim of studying any rovibrational band or polyad of XY3Z (C3v) symmetric-tops molecules in a singlet electronic state. It is developed in the same way as similar programs for various molecular symmetries (Td, Oh, C4v, C2v and D2h). We work in the O ( 3 ) ⊃ C ∞ v ⊃ C 3 v group chain and this choice has consequences on the method used to specify the input parameters for Hamiltonian and transition moment calculations. One example concerning the ν 2 band of the CH 3 12 D symmetric-top molecule is presented. This package consists in a series of FORTRAN programs called by scripts. The whole package is freely acces…

Discrete mathematicsPhysicsRadiationbusiness.industryFortranTransition dipole momentRotational–vibrational spectroscopyAtomic and Molecular Physics and Opticssymbols.namesakeSoftwareHomogeneous spacesymbolsMoleculeSinglet statebusinessHamiltonian (quantum mechanics)computerSpectroscopycomputer.programming_languageJournal of Quantitative Spectroscopy and Radiative Transfer
researchProduct

The Action of the Symplectic Group Associated with a Quadratic Extension of Fields

1999

Abstract Given a quadratic extension L/K of fields and a regular alternating space (V, f) of finite dimension over L, we classify K-subspaces of V which do not split into the orthogonal sum of two proper K-subspaces. This allows one to determine the orbits of the group SpL(V, f) in the set of K-subspaces of V.

Discrete mathematicsPure mathematicsSymplectic groupAlgebra and Number TheoryGroup (mathematics)Symplectic representationSymplectic vector spaceQuadratic equationDimension (vector space)Metaplectic groupSettore MAT/03 - GeometriaMoment mapMathematicsGeometry of classical groups Canonical forms reduction classificationJournal of Algebra
researchProduct

Deeply bound pionic states with the (? ?,?) reaction

1992

We study the reactionΣ− +A→Λ + (Aπ−) with the π− bound in the nucleus, as a means of producing deeply bound pionic states in nuclei, so far unobserved. The reaction is similar to the (n, p) reaction but, because of theΣ−, Λ mass difference, it allows the reaction to occur with smaller momentum transfer, thus increasing the transition probability and reducing the effects of distortion. The ratios of signal to background are one to two orders of magnitude better than in the (n, p) reaction.

Distortion (mathematics)PhysicsNuclear and High Energy Physicsmedicine.anatomical_structureMomentum transfermedicineNuclear fusionAtomic physicsNucleusOrder of magnitudeZeitschrift f�r Physik A Hadrons and Nuclei
researchProduct

Targeted steel frames by means of innovative moment resisting connections

2021

Abstract The present paper proposes the use of stepped cross section devices on steel frames aiming at reproducing a pre-established target push-over curve. To this aim a Limited Resistance Plastic Device (LRPD) to be inserted along selected structural members is proposed. The following two main specific features for LRPD are required: any elastic flexural stiffness variation of the original selected member must be avoided; an ultimate plastic bending moment value equal to an assigned percentage of the original limit resistance value must be ensured. Steel frames equipped with LRPD are modeled by means of an extension of a recently proposed Fibre Smart Displacement Based (FSDB) beam element…

Distributed plasticityOptimal designComputer science020101 civil engineeringSteel frames02 engineering and technology0915 Interdisciplinary EngineeringCivil Engineering0905 Civil Engineering0201 civil engineeringCross section (physics)Distributed plasticity FSDB model Innovative RBS connections Minimum volume design Steel frames0203 mechanical engineeringmedicineCivil and Structural Engineeringbusiness.industryFSDB modelMetals and AlloysStiffnessFlexural rigidity1202 BuildingBuilding and ConstructionStructural engineeringFinite element methodMoment (mathematics)020303 mechanical engineering & transportsMinimum volume designMechanics of MaterialsPlastic bendingmedicine.symptombusinessSettore ICAR/08 - Scienza Delle CostruzioniBeam (structure)Innovative RBS connections
researchProduct

First Measurement of Transverse-Spin-Dependent Azimuthal Asymmetries in the Drell-Yan Process

2017

The first measurement of transverse-spin-dependent azimuthal asymmetries in the pion-induced Drell-Yan (DY) process is reported. We use the CERN SPS 190 GeV/$c$, $\pi^{-}$ beam and a transversely polarized ammonia target. Three azimuthal asymmetries giving access to different transverse-momentum-dependent (TMD) parton distribution functions (PDFs) are extracted using dimuon events with invariant mass between 4.3 GeV/$c^2$ and 8.5 GeV/$c^2$. The observed sign of the Sivers asymmetry is found to be consistent with the fundamental prediction of Quantum Chromodynamics (QCD) that the Sivers TMD PDFs extracted from DY have a sign opposite to the one extracted from semi-inclusive deep-inelastic sc…

Drell-Yan process550ComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONNuclear TheoryGeneral Physics and Astronomyparton: distribution functiontransverse momentum dependence01 natural sciencesCOMPASSHigh Energy Physics - ExperimentSivers functionHigh Energy Physics - Experiment (hep-ex)semi-inclusive reaction [deep inelastic scattering]High Energy Physics - Phenomenology (hep-ph)ddc:550[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimenttransversityPhysicsQuantum chromodynamics(muon+ muon-) [mass spectrum]Large Hadron Colliderdeep inelastic scattering: semi-inclusive reactionpolarized target: transverse190 GeV/ctransverse [polarized target]nucleonDrell–Yan processhep-phdimuon: mass spectrumAzimuthHigh Energy Physics - PhenomenologyTransverse planeasymmetry [angular distribution]pi- nucleus: scatteringmass spectrum [dimuon]distribution function [parton]Nucleonspin: asymmetryParticle Physics - ExperimentParticle physicsangular distribution: asymmetryscattering [pi- nucleus]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMSAccelerator Physics and InstrumentationGeneralLiterature_MISCELLANEOUSNuclear physicsPhysics and Astronomy (all)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesquantum chromodynamicsuniversality010306 general physicsParticle Physics - Phenomenology010308 nuclear & particles physicshep-exHigh Energy Physics::PhenomenologyAcceleratorfysik och instrumenteringCERN SPSmass spectrum: (muon+ muon-)ComputingMethodologies_PATTERNRECOGNITION[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Physics::Accelerator Physics[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::Experimentasymmetry [spin]experimental results
researchProduct

Matching factorization theorems with an inverse-error weighting

2018

We propose a new fast method to match factorization theorems applicable in different kinematical regions, such as the transverse-momentum-dependent and the collinear factorization theorems in Quantum Chromodynamics. At variance with well-known approaches relying on their simple addition and subsequent subtraction of double-counted contributions, ours simply builds on their weighting using the theory uncertainties deduced from the factorization theorems themselves. This allows us to estimate the unknown complete matched cross section from an inverse-error-weighted average. The method is simple and provides an evaluation of the theoretical uncertainty of the matched cross section associated w…

Drell-Yan processNuclear and High Energy PhysicsFOS: Physical sciencesInversegauge boson: hadroproduction01 natural sciencestransverse momentum: momentum spectrumCross section (physics)High Energy Physics - Phenomenology (hep-ph)FactorizationfactorizationSimple (abstract algebra)0103 physical sciencesquantum chromodynamicsApplied mathematics010306 general physicshadron hadron: interactionBosonQuantum chromodynamicsPhysics010308 nuclear & particles physicsmatchingdeep-inelastic processesfactorization: collinearHigh Energy Physics::Phenomenologyfactorization; Quantum Chromodynamics; matching; power corrections; deep-inelastic processesDrell–Yan processlcsh:QC1-999WeightingHigh Energy Physics - Phenomenologykinematics[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]transverse momentum: factorization[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]power correctionslcsh:Physics
researchProduct

Erratum to: DYTurbo: fast predictions for Drell–Yan processes

2020

The European physical journal / C 80(5), 440 (2020). doi:10.1140/epjc/s10052-020-7972-0

Drell-Yan processPhysics and Astronomy (miscellaneous)density [parton]Hadrontransverse momentum [resummation]Drell-YanParton01 natural sciencescorrelation [spin]colliding beams [hadron]pair production [lepton]ResummationHadron collidersPhysicsQuantum chromodynamicsprecision measurementhigher-order: 2resummation: transverse momentum2 [higher-order]kinematicsfactorization [cross section]parton: densityParticle physicsspin: correlation530 Physicslepton: pair productionlcsh:Astrophysics10192 Physics Institute530Standard Model0103 physical scienceslcsh:QB460-466quantum chromodynamicslcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:5303101 Physics and Astronomy (miscellaneous)010306 general physicsEngineering (miscellaneous)Electroweak010308 nuclear & particles physicshadron: colliding beamsHigh Energy Physics::PhenomenologyOrder (ring theory)cross section: factorizationQCDPair productionlcsh:QC770-798High Energy Physics::Experiment2201 Engineering (miscellaneous)Lepton
researchProduct

DYTurbo: fast predictions for Drell–Yan processes

2019

The European physical journal / C 80(5), 251 (2020). doi:10.1140/epjc/s10052-020-7757-5

Drell-Yan processPhysics and Astronomy (miscellaneous)density [parton]transverse momentum [resummation]Drell-YanParton01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)correlation [spin]colliding beams [hadron]pair production [lepton]ResummationHadron collidersPhysicsQuantum chromodynamicsprecision measurementhigher-order: 2resummation: transverse momentumDrell–Yan processhep-ph2 [higher-order]High Energy Physics - Phenomenologykinematicsfactorization [cross section]parton: densityPhenomenology (particle physics)Particle physics530 Physicsspin: correlationlepton: pair productionFOS: Physical scienceslcsh:Astrophysics10192 Physics Institute530Standard Modellcsh:QB460-4660103 physical sciencesquantum chromodynamicsddc:530lcsh:Nuclear and particle physics. Atomic energy. Radioactivity010306 general physicsEngineering (miscellaneous)Particle Physics - PhenomenologyElectroweak010308 nuclear & particles physicshadron: colliding beamsHigh Energy Physics::Phenomenologycross section: factorizationQCDPair production[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]lcsh:QC770-798High Energy Physics::ExperimentLeptonThe European Physical Journal C
researchProduct