Search results for "A* algorithm"

showing 10 items of 2538 documents

Jet fragmentation transverse momentum distributions in pp and p-Pb collisions at √s, √sNN = 5.02 TeV

2021

Jet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and Pythia 8 based models describe the data well for the higher jT region, while they underestimate the low…

related to the perturbative component of the fragmentation processthe measured trends are successfully described by all models except for Herwig. For the wide componentHerwig and PYTHIA 8 based models slightly underestimate the data for the higher jet transverse momentum region. These measurements set constraints on models of jet fragmentation and hadronisation.Nuclear and High Energy Physicswhile that of the inverse gamma function increases with increasing jet transverse momentum. For the narrow componentHeavy Ion Experimentsand with a Gaussian for lower jT values (called the “narrow component”)hiukkasfysiikkawhile they underestimate the lower jT region. The jT distributions are further characterised by fitting them with a function composed of an inverse gamma function for higher jT values (called the “wide component”)predominantly connected to the hadronisation process. The width of the Gaussian has only a weak dependence on jet transverse momentumJet fragmentation transverse momentum (jT) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at √sNN = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-kT algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The jT values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured jT distributions are compared with a variety of parton-shower models. Herwig and PYTHIA 8 based models describe the data well for the higher jT region
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On the use of multi-temporal series of COSMO-SkyMed data for LANDcover classification and surface parameter retrieval over agricultural sites

2011

The objective of this paper is to report on the activities carried out during the first year of the Italian project “Use of COSMO-SkyMed data for LANDcover classification and surface parameters retrieval over agricultural sites” (COSMOLAND), funded by the Italian Space Agency. The project intends to contribute to the COSMO-SkyMed mission objectives in the agriculture and hydrology application domains.

retrieval algorithmsContextual image classificationbusiness.industryCOSMO-SkyMedCOSMO-SkyMed classification retrieval algorithmsClassificationData modelingStatistical classificationHydrology (agriculture)AgricultureClassification; COSMO-SkyMed; retrieval algorithmsEnvironmental scienceTerrain mappingbusinessRetrieval algorithmRemote sensing
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Selection of spawning substratum by European river lampreys (Lampetra fluviatilis) in experimental tanks

2014

The selection of spawning substratum by the river lamprey (Lampetra fluviatilis) was studied in two experimental tanks with different flow conditions. In both tanks, four gravel sizes mixed with 15% sand were available to the test animals. In the tank with the lower current speed, lampreys selected in favour of the finest (2–8 mm) gravel size available against gravel sizes 4–20 mm and 8–40 mm. Selection was also significantly different in the tank with higher current speed where selection against the medium-sized substratum (4–20 mm) was evident, but there were no differences between selection for gravel sizes 2–8 mm, 2–40 mm and 8–40 mm relative to availability. Substratum selection and ob…

river lampreyPhysiologyLampreyspawninghabitatselectionsubstrateAquatic ScienceBiologyOceanographybiology.organism_classificationSubstrate (marine biology)FisheryCurrent (stream)Lampetra fluviatilisHabitatLampetraNestta1181Selection (genetic algorithm)Marine and Freshwater Behaviour and Physiology
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Impact Evaluation of Innovative Selective Harmonic Mitigation Algorithm for Cascaded H-Bridge Inverter on IPMSM Drive Application

2021

This paper presents a detailed analysis of the use of a novel Harmonic Mitigation algorithm for Cascaded H-Bridge Multilevel Inverter in electrical drives for the transportation field. For this purpose, an enhanced mathematical model of Interior Permanent Magnet Synchronous Motor (IPMSM), that takes into account simultaneously saturation, cross-coupling, spatial harmonics, and iron loss effects, has been used. In detail, this model allows estimating accurately the efficiency and the torque ripple of the IPMSM, crucial parameters for transportation applications. Moreover, two traditional pulse width modulation strategies, Sinusoidal Phase-Shifted and Switching Frequency Optimal Phase-Shifted…

selective harmonic mitigation algorithmComputer scienceImpact evaluationHarmonic mitigationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciCascaded H-bridge multilevel inverter (CHBMI)torque rippleH bridge inverterTK1-9971Settore ING-IND/31 - ElettrotecnicaefficiencyElectronic engineeringCascaded H-bridge multilevel inverter (CHBMI) efficiency interior permanent magnet synchronous machine (IPMSM) selective harmonic mitigation algorithm torque rippleElectrical engineering. Electronics. Nuclear engineeringinterior permanent magnet synchronous machine (IPMSM)IEEE Open Journal of Industry Applications
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A black-box, general purpose quadratic self-consistent field code with and without Cholesky Decomposition of the two-electron integrals

2021

We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm based on an adaptive trust-radius optimisation scheme for restricted open-shell Hartree���Fock (ROHF), restricted Hartree���Fock (RHF), and unrestricted Hartree���Fock (UHF) references. The algorithm can exploit Cholesky decomposition (CD) of the two-electron integrals to allow calculations on larger systems. The most important feature of the QCSCF code lies in its black-box nature ��� probably the most important quality desired by a generic user. As shown for pilot applications, it does not require one to tune the self-consistent field (SCF) parameters (damping, Pulay's DIIS, and other simil…

self-consistent fieldField (physics)Nuclear TheoryBiophysicsHartree–Fock methodsecond-orderFOS: Physical sciencesHartree–FockQuadratic equationBlack boxPhysics - Chemical PhysicsPhysics::Atomic and Molecular ClustersCode (cryptography)Applied mathematicsPhysical and Theoretical ChemistryPhysics::Chemical PhysicsMolecular BiologyMathematicsQuadratic growthCholesky decomposition; Hartree–Fock; Levenberg–Marquardt; second-order; self-consistent fieldChemical Physics (physics.chem-ph)Condensed Matter PhysicsLevenberg–Marquardt algorithmLevenberg–MarquardtCholesky decompositionCholesky decomposition
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Charged jet cross sections and properties in proton-proton collisions at $\sqrt{s}=7$ TeV

2015

The differential charged jet cross sections, jet fragmentation distributions, and jet shapes are measured in minimum bias proton-proton collisions at centre-of-mass energy $\sqrt{s}=7$ TeV using the ALICE detector at the LHC. Jets are reconstructed from charged particle momenta in the mid-rapidity region using the sequential recombination $k_{\rm T}$ and anti-$k_{\rm T}$ as well as the SISCone jet finding algorithms with several resolution parameters in the range $R=0.2$ to $0.6$. Differential jet production cross sections measured with the three jet finders are in agreement in the transverse momentum ($p_{\rm T}$) interval $20<p_{\rm T}^{\rm jet,ch}<100$ GeV/$c$. They are also consistent w…

shapes:Kjerne- og elementærpartikkelfysikk: 431 [VDP]parton distributionsMonte Carlo methodP(P)OVER-BAR COLLISIONSALICE Charged jet proton-proton 7 TeVATLAS DETECTOR01 natural sciencesSpectral lineHigh Energy Physics - Experimentdifferential charged jet cross sectionENERGYHigh Energy Physics - Experiment (hep-ex)ALICEFragmentation (mass spectrometry)Nuclear and High Energy Physics differential charged jet cross sectionfragmentation[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)ROOT-S(NN)=2.76 TEVNuclear ExperimentNuclear Experimentroot-s(nn)=2.76 tevatlas detectorPhysicsLarge Hadron Collidercross sectionPhysicsDetectorCharged particle3. Good health:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]charged jetsPRIRODNE ZNANOSTI. Fizika.:Nuclear and elementary particle physics: 431 [VDP]SHAPESTransverse momentumHADRON-COLLISIONSFRAGMENTATIONpp collisionsenergyParticle physicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaCharged jetVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431FOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencestransverse-momentumNuclear physicsMinimum bias(P)OVER-BAR-P COLLISIONS P(P)OVER-BAR COLLISIONS PP COLLISIONS PARTON DISTRIBUTIONS TRANSVERSE-MOMENTUM SHAPES ALGORITHM ENERGY0103 physical sciences7 TeVNuclear Physics - Experimentproton-protonALGORITHM010306 general physics(p)over-bar-p collisionsPP COLLISIONSta114(P)OVER-BAR-P COLLISIONSVDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]TRANSVERSE-MOMENTUMNATURAL SCIENCES. Physics.(p)over-bar-p collisions ; parton distributions ; transverse-momentum ; root-s(nn)=2.76 tev ; hadron-collisions ; atlas detector ; pp collisions ; fragmentation ; shapes ; energy ; charged jet ; cross section ; proton-proton ; 7 TeVhadron-collisionsPARTON DISTRIBUTIONSALICE; Charged jet; proton-proton; 7 TeVproton-proton collisionsHigh Energy Physics::Experimentcharged jet
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LA SCALA DI MOMO AI MUSEI VATICANI. Curve coniche gobbe e superfici rigate da esse generate.

2014

This study is part of a more vast research that aims to examine in depth the geometrical-spatial origin of skew curves belonging to conical surfaces of revolution: conical spiral and conical helix. The study begins with an investigation concerning the geometrical tracing, and the spatial origin of both the skew curves and the ruled surfaces they generate, carrying out a comparison of the different formal characteristics through a number of algorithms that control the reference properties, written within the renown Rhinoceros plug-in, Grasshopper. Then follows an in-depth analysis of an admirable example of architecture dating back to the first thirty years of the past century and made by th…

skew curves conical spiral and conical helix digital algorithms double-ramp helicoidal stairSettore ICAR/17 - Disegno
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Splines in convex sets under constraints of two‐sided inequality type in a hyperplane

2008

The problem of minimization of a smoothing functional under inequality constraints is considered in a hyperplane. The conditions of the existence of a solution are obtained and some properties of this solution are investigated. It is proved that the solution is a spline. The method for its construction is suggested. First Published Online: 14 Oct 2010

smoothing problemMathematical analysisRegular polygonLinear matrix inequalityHalf-spacesplineSpline (mathematics)Simplex algorithmHyperplaneModeling and SimulationQA1-939Applied mathematicsThin plate splinesimplex methodAnalysisSmoothingMathematicsMathematicsMathematical Modelling and Analysis
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Soundscape design through evolutionary engines

2008

Abstract Two implementations of an Evolutionary Sound Synthesis method using the Interaural Time Difference (ITD) and psychoacoustic descriptors are presented here as a way to develop criteria for fitness evaluation. We also explore a relationship between adaptive sound evolution and three soundscape characteristics: keysounds, key-signals and sound-marks. Sonic Localization Field is defined using a sound attenuation factor and ITD azimuth angle, respectively (Ii, Li). These pairs are used to build Spatial Sound Genotypes (SSG) and they are extracted from a waveform population set. An explanation on how our model was initially written in MATLAB is followed by a recent Pure Data (Pd) impleme…

sonic spatializationeducation.field_of_studySoundscapesound synthesisGeneral Computer Scienceartificial evolutionComputer scienceSpeech recognitionacoustic descriptorsPopulationEvolutionary algorithmInteraural time differencegenetic algorithmsPure DataPsychoacousticseducationcomputerAcoustic attenuationParametric statisticscomputer.programming_languageComputer Science(all)
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SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm

2014

Computing a hierarchical clustering of objects from a pairwise distance matrix is an important algorithmic kernel in computational science. Since the storage of this matrix requires quadratic space with respect to the number of objects, the design of memory-efficient approaches is of high importance to this research area. In this paper, we address this problem by presenting a memory-efficient online hierarchical clustering algorithm called SparseHC. SparseHC scans a sorted and possibly sparse distance matrix chunk-by-chunk. Meanwhile, a dendrogram is built by merging cluster pairs as and when the distance between them is determined to be the smallest among all remaining cluster pairs. The k…

sparse matrixClustering high-dimensional dataTheoretical computer scienceonline algorithmsComputer scienceSingle-linkage clusteringComplete-linkage clusteringNearest-neighbor chain algorithmConsensus clusteringmemory-efficient clusteringCluster analysisk-medians clusteringGeneral Environmental ScienceSparse matrix:Engineering::Computer science and engineering [DRNTU]k-medoidsDendrogramConstrained clusteringHierarchical clusteringDistance matrixCanopy clustering algorithmGeneral Earth and Planetary SciencesFLAME clusteringHierarchical clustering of networkshierarchical clusteringAlgorithmProcedia Computer Science
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