Search results for "Algorithm"

showing 10 items of 4887 documents

Evidence for DirectCPViolation in the Measurement of the Cabbibo-Kobayashi-Maskawa AngleγwithB∓→D(*)K(*)∓Decays

2010

We report the measurement of the Cabibbo-Kobayashi-Maskawa CP-violating angle {gamma} through a Dalitz plot analysis of neutral D meson decays to K{sub S}{sup 0}{pi}{sup +}{pi}{sup -} and K{sub S}{sup 0} K{sup +}K{sup -} produced in the processes B{sup {-+}} {yields} DK{sup {-+}}, B{sup {-+}} {yields} D* K{sup {-+}} with D* {yields} D{pi}{sup 0}, D{gamma}, and B{sup {-+}} {yields} DK*{sup {-+}} with K*{sup {-+}} {yields} K{sub S}{sup 0}{pi}{sup {-+}}, using 468 million B{bar B} pairs collected by the BABAR detector at the PEP-II asymmetric-energy e{sup +}e{sup -} collider at SLAC. We measure {gamma} = (68 {+-} 14 {+-} 4 {+-} 3){sup o} (modulo 180{sup o}), where the first error is statistica…

PhysicsAntiparticleMeson010308 nuclear & particles physicsHadronGeneral Physics and AstronomyDalitz plot01 natural sciencesCrystallographyParticle decayTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYQuantum mechanics0103 physical sciencesD mesonCP violationB meson010306 general physicsPhysical Review Letters
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A nonlinear eigenvalue problem for the periodic scalar p-Laplacian

2014

We study a parametric nonlinear periodic problem driven by the scalar $p$-Laplacian. We show that if $\hat \lambda_1 >0$ is the first eigenvalue of the periodic scalar $p$-Laplacian and $\lambda> \hat \lambda_1$, then the problem has at least three nontrivial solutions one positive, one negative and the third nodal. Our approach is variational together with suitable truncation, perturbation and comparison techniques.

PhysicsApplied MathematicsScalar (mathematics)AnalysiGeneral MedicineMathematics::Spectral TheoryLambdaSecond deformation theoremParametric equationNonlinear systemp-LaplacianConstant sign and nodal solutionExtremal solutionDivide-and-conquer eigenvalue algorithmParametric equationAnalysisEigenvalues and eigenvectorsParametric statisticsMathematical physics
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Evidence against a glass transition in the 10-state short range Potts glass

2002

We present the results of Monte Carlo simulations of two different 10-state Potts glasses with random nearest neighbor interactions on a simple cubic lattice. In the first model the interactions come from a \pm J distribution and in the second model from a Gaussian one, and in both cases the first two moments of the distribution are chosen to be equal to J_0=-1 and Delta J=1. At low temperatures the spin autocorrelation function for the \pm J model relaxes in several steps whereas the one for the Gaussian model shows only one. In both systems the relaxation time increases like an Arrhenius law. Unlike the infinite range model, there are only very weak finite size effects and there is no evi…

PhysicsArrhenius equationStatistical Mechanics (cond-mat.stat-mech)GaussianMonte Carlo methodAutocorrelationFOS: Physical sciencesGeneral Physics and AstronomyDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networksk-nearest neighbors algorithmsymbols.namesakesymbolsStatistical physicsGlass transitionGaussian network modelCondensed Matter - Statistical MechanicsSpin-½
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Total-variation methods for gravitational-wave denoising: Performance tests on Advanced LIGO data

2018

We assess total-variation methods to denoise gravitational-wave signals in real noise conditions, by injecting numerical-relativity waveforms from core-collapse supernovae and binary black hole mergers in data from the first observing run of Advanced LIGO. This work is an extension of our previous investigation where only Gaussian noise was used. Since the quality of the results depends on the regularization parameter of the model, we perform an heuristic search for the value that produces the best results. We discuss various approaches for the selection of this parameter, either based on the optimal, mean, or multiple values, and compare the results of the denoising upon these choices. Mor…

PhysicsArtificial neural network010308 nuclear & particles physicsGravitational waveNoise reductionFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)01 natural sciencesGeneral Relativity and Quantum CosmologyLIGOsymbols.namesakeAstrophysics - Solar and Stellar AstrophysicsBinary black holeGaussian noiseLagrange multiplier0103 physical sciencessymbolsWaveformAstrophysics - Instrumentation and Methods for Astrophysics010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)AlgorithmSolar and Stellar Astrophysics (astro-ph.SR)Physical Review D
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Deep learning for core-collapse supernova detection

2021

The detection of gravitational waves from core-collapse supernova (CCSN) explosions is a challenging task, yet to be achieved, in which it is key the connection between multiple messengers, including neutrinos and electromagnetic signals. In this work, we present a method for detecting these kind of signals based on machine learning techniques. We tested its robustness by injecting signals in the real noise data taken by the Advanced LIGO-Virgo network during the second observing run, O2. We trained a newly developed Mini-Inception Resnet neural network using time-frequency images corresponding to injections of simulated phenomenological signals, which mimic the waveforms obtained in 3D num…

PhysicsArtificial neural networkPhysics and Astronomy (miscellaneous)Gravitational wavebusiness.industryDeep learningType II supernovaConstant false alarm rateSupernovaRobustness (computer science)WaveformGravitational waves; machine learning; supernovaArtificial intelligenceNeutrinobusinessAlgorithmPhysical Review D
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Ground states of ultrasoft particles with attractions: a genetic algorithm approach

2009

International audience; We analyze in detail the ground-state structure of model systems of athermal star polymers with an additional, tunable attraction that may result from dispersion or depletion forces. To perform a free, unbiased search in the space spanned by the crystal parameters, we employ genetic algorithms, which are enhanced with respect to previous versions in their ability to find stable structures that occupy very narrow basins of attraction in the energy landscape. Application of this method brings about a very large variety of ground states for star polymers with attractions, in particular for the case of intermediate functionalities and strong, short-range attractive force…

PhysicsBiophysicsStructure (category theory)Energy landscapeStatistical mechanicsCondensed Matter PhysicsSpace (mathematics)01 natural sciencesAttraction010305 fluids & plasmasQuantum mechanics0103 physical sciencesGenetic algorithmDispersion (optics)Physical SciencesStatistical physicsSoft matterPhysical and Theoretical Chemistry010306 general physicsMolecular Biology
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Parameters for automated star identification

2014

The determination of parameters for identifying stars sensed by charge-coupled device (CCD) is discussed. Numerical experiments are summarized which support the parameter space bound estimation practicality of the proposed star pattern recognition and identification by matching with coordinate list in star catalogue. The parameter analysis performed to apply them for proper identification algorithm which is developed and used at the Institute of Geodesy and Geoinformatics. This algorithm is applied for identification of large volume star sets.

PhysicsCCD astrometryQB275-343Matching (graph theory)Astrophysics::Cosmology and Extragalactic AstrophysicsStar (graph theory)Parameter spaceStar catalogueIdentification (information)StarsGeoinformaticsgeodetic astronomystar identification:NATURAL SCIENCES [Research Subject Categories]General Earth and Planetary SciencesAstrophysics::Solar and Stellar AstrophysicsAlgorithmGeodetic astronomyAstrophysics::Galaxy AstrophysicsGeodesyGeodesy and Cartography
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Transmitter waveform and receiver transfer function modelling in time domain induced polarization

2012

SUMMARY In the computation of the forward response for Time Domain Induced Polarization the incomplete description of the transmitter waveform causes dramatic errors in the estimation of the magnitude and time characteristic of the IP phenomenon. Both the duration of the current pulse and the sequence of pulses used for the stacking procedure have a strong effect in the magnitude and shape of the IP decays. Furthermore, it is important to model low-pass filters of the receiver system, in order to extract all the information contained in the acquired data. For these reasons, a new 1D forward and inversion algorithms have been developed using the full time decay of the IP response and the rec…

PhysicsComputationTransmitterGeneral EngineeringStackingWaveformInversion (meteorology)Time domainTransfer functionAlgorithmInduced polarizationASEG Extended Abstracts
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Diffusive thermal dynamics for the spin-S Ising ferromagnet

2008

We introduce an alternative thermal diffusive dynamics for the spin-S Ising ferromagnet realized by means of a random walker. The latter hops across the sites of the lattice and flips the relevant spins according to a probability depending on both the local magnetic arrangement and the temperature. The random walker, intended to model a diffusing excitation, interacts with the lattice so that it is biased towards those sites where it can achieve an energy gain. In order to adapt our algorithm to systems made up of arbitrary spins, some non trivial generalizations are implied. In particular, we will apply the new dynamics to two-dimensional spin-1/2 and spin-1 systems analyzing their relaxat…

PhysicsCondensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)Magnetic structureSpinsCritical phenomenaComplex systemMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesRenormalization groupCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsRandom walker algorithmCondensed Matter::Strongly Correlated ElectronsIsing modelSpin-flipStatistical physicsCondensed Matter - Statistical MechanicsThe European Physical Journal B
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A quantum random walk of a Bose-Einstein condensate in momentum space

2016

Each step in a quantum random walk is typically understood to have two basic components: a ``coin toss'' which produces a random superposition of two states, and a displacement which moves each component of the superposition by different amounts. Here we suggest the realization of a walk in momentum space with a spinor Bose-Einstein condensate subject to a quantum ratchet realized with a pulsed, off-resonant optical lattice. By an appropriate choice of the lattice detuning, we show how the atomic momentum can be entangled with the internal spin states of the atoms. For the coin toss, we propose to use a microwave pulse to mix these internal states. We present experimental results showing an…

PhysicsCondensed Matter::Quantum GasesQuantum PhysicsQuantum dynamicsQuantum simulatorFOS: Physical sciencesNonlinear Sciences - Chaotic Dynamics01 natural sciences010305 fluids & plasmasOpen quantum systemQuantum error correctionQuantum Gases (cond-mat.quant-gas)QubitQuantum mechanicsQuantum process0103 physical sciencesQuantum algorithmQuantum walkChaotic Dynamics (nlin.CD)010306 general physicsCondensed Matter - Quantum GasesQuantum Physics (quant-ph)
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