Search results for "Exponent"

showing 10 items of 896 documents

Polarizability of the neutron

1990

Abstract A first measurement of quasi-free Compton scattering by the neutron bound in the deuteron has yielded a value for the polarizability of the neutron of αn=(11.7 −11.7+4.3)×10 −4fm 3. This means that a finite value for the polarizability has been obtained, though the result is still consistent with zero. The π0 decay constant Fπ 0γγ and the pion nucleon coupling constant gNNπ have opposite signs.

Coupling constantPhysicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaNuclear TheoryCompton scatteringlcsh:QC1-999Nuclear physicsPionDeuteriumPolarizabilityNeutronAstrophysics::Earth and Planetary AstrophysicsExponential decayAtomic physicsNuclear ExperimentNucleonlcsh:PhysicsPhysics Letters B
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Domain Wall Renormalization Group Study of XY Model with Quenched Random Phase Shifts

2002

The XY model with quenched random disorder is studied by a zero temperature domain wall renormalization group method in 2D and 3D. Instead of the usual phase representation we use the charge (vortex) representation to compute the domain wall, or defect, energy. For the gauge glass corresponding to the maximum disorder we reconfirm earlier predictions that there is no ordered phase in 2D but an ordered phase can exist in 3D at low temperature. However, our simulations yield spin stiffness exponents $\theta_{s} \approx -0.36$ in 2D and $\theta_{s} \approx +0.31$ in 3D, which are considerably larger than previous estimates and strongly suggest that the lower critical dimension is less than thr…

Coupling constantPhysicsSpin glassCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)Condensed Matter - SuperconductivityOrder (ring theory)FOS: Physical sciencesCharge (physics)Renormalization groupClassical XY modelSuperconductivity (cond-mat.supr-con)ExponentCondensed Matter - Statistical MechanicsEnergy (signal processing)
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A quantitative test of the mode-coupling theory of the ideal glass transition for a binary Lennard-Jones system

1996

Using a molecular dynamics computer simulation we determine the temperature dependence of the partial structure factors for a binary Lennard-Jones system. These structure factors are used as input data to solve numerically the wave-vector dependent mode-coupling equations in the long time limit. Using the so determined solutions, we compare the predictions of mode-coupling theory (MCT) with the results of a previously done molecular dynamics computer simulation [Phys. Rev. E 51, 4626 (1995), ibid. 52, 4134 (1995)]. From this comparison we conclude that MCT gives a fair estimate of the critical coupling constant, a good estimate of the exponent parameter, predicts the wave-vector dependence …

CouplingCoupling constantAmplitudeCondensed Matter (cond-mat)ExponentBinary numberFOS: Physical sciencesIdeal (order theory)Condensed MatterStatistical physicsLimit (mathematics)Space (mathematics)Mathematics
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Numerical Simulation of Thermal Effects in Electric Circuits via Energy Transport equations

2006

In this work we present the coupling of stationary energy-transport (ET) equations with Modified Nodal Analysis (MNA)-equations to model electric circuits containing semiconductor devices. The one-dimensional ET-equations are discretised in space by an exponential fitting mixed hybrid finite element approach to ensure current continuity and positivity of charge carriers. The discretised ET-equations are coupled to MNA-equations and the resulting system is solved with backwarddifference formulas. Numerical examples are shown for a test circuit containing a pn-diode, and the results are compared to those achieved using the drift-diffusion model to describe the semiconductor devices in the cir…

CouplingEngineeringWork (thermodynamics)Computer simulationbusiness.industryMathematical analysisMechanical engineeringCharge carrierSemiconductor devicebusinessModified nodal analysisExponential functionElectronic circuitPAMM
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HIGH-PRECISION MONTE CARLO DETERMINATION OF α/ν IN THE 3D CLASSICAL HEISENBERG MODEL

1994

To study the role of topological defects in the three-dimensional classical Heisenberg model we have simulated this model on simple cubic lattices of size up to 803, using the single-cluster Monte Carlo update. Analysing the specific-heat data of these simulations, we obtain a very accurate estimate for the ratio of the specific-heat exponent with the correlation-length exponent, α/ν, from a usual finite-size scaling analysis at the critical coupling Kc. Moreover, by fitting the energy at Kc, we reduce the error estimates by another factor of two, and get a value of α/ν, which is comparable in accuracy to best field theoretic estimates.

CouplingField (physics)Monte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsClassical Heisenberg modelComputer Science ApplicationsTopological defectComputational Theory and MathematicsDynamic Monte Carlo methodExponentStatistical physicsScalingMathematical PhysicsMathematicsInternational Journal of Modern Physics C
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Monodisperse Dialkoxy-Substituted Oligo(phenyleneethenylene)s

2006

Individual but connected synthetic routes for the preparation of the all-E-configured 2,5-dipropoxy-substituted oligo(1,4-phenyleneethenylene)s 1a–g were developed. An increasing number of conjugated stilbene units from n = 1 to n = 11 led to a convergent bathochromic shift (Δλ = λ∞ − λ1 = 127 nm) in the UV/Vis absorption. An exponential function for the convergence of the absorption energies (wavelengths) in conjugated systems is proposed. By a simple extrapolation of this function the effective chain length may be determined.

CrystallographyChain lengthChemistryOrganic ChemistryBathochromic shiftDispersityPolymer chemistryExtrapolationGeneral ChemistryPhysical and Theoretical ChemistryAbsorption (chemistry)Conjugated systemExponential functionLiebigs Annalen
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Growth phase-dependent regulation of nuoA-N expression in Escherichia coli K-12 by the Fis protein: upstream binding sites and bioenergetic significa…

2000

The expression of the nuoA-N operon of Escherichia coli K-12, which encodes the proton-pumping NADH dehydrogenase I is modulated by growth phase-dependent regulation. Under respiratory growth conditions, expression was stimulated in early exponential, and to a lesser extent in late exponential and stationary growth phases. The stimulation in the early exponential growth phase was not observed in fis mutants, which are deficient for the growth phase-responsive regulator Fis. Neither the alternative sigma factor RpoS nor the integration host factor (IHF) are involved in growth phase-dependent regulation of this operon. When incubated with nuo promoter DNA, isolated Fis protein formed three re…

DNA BacterialIntegration Host FactorsOperonMutantMolecular Sequence DataBiologymedicine.disease_causeExponential growthBacterial ProteinsFactor For Inversion Stimulation ProteinOperonGeneticsmedicineEscherichia coliBinding sitePromoter Regions GeneticMolecular BiologyEscherichia coliBinding SitesBase SequenceEscherichia coli ProteinsDNase-I FootprintingPromoterMolecular biologyCarrier ProteinsrpoSMoleculargeneral genetics : MGG
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What is the best fitting function? Evaluation of lactate curves with common methods from the literature

2015

Using the lactate threshold for training prescription is the gold-standard, although there are several open questions. One open question is: What is the best fitting method for the load-lactate data points? This investigation re-analyses over 3500 lactate diagnostic datasets in swimming. Our evaluation software examines six different fitting methods with two different minimization criteria (RMSE and SE). Optimization of parameters of the functions is put in excecution with gradient descent. From a mathematical point of view, the double phase model, which consists of two linear regression lines, shows the least errors (RMSE min 0.254 ± 0.172; SE min 0.311 ± 0.210). However, this method canno…

Data pointBest fittingMean squared errorLactate thresholdStatisticsLinear regressionEconometricsFunction (mathematics)Gradient descentMathematicsExponential function
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Etude numérique d'équations aux dérivées partielles non linéaires et dispersives

2011

Numerical analysis becomes a powerful resource in the study of partial differential equations (PDEs), allowing to illustrate existing theorems and find conjectures. By using sophisticated methods, questions which seem inaccessible before, like rapid oscillations or blow-up of solutions can be addressed in an approached way. Rapid oscillations in solutions are observed in dispersive PDEs without dissipation where solutions of the corresponding PDEs without dispersion present shocks. To solve numerically these oscillations, the use of efficient methods without using artificial numerical dissipation is necessary, in particular in the study of PDEs in some dimensions, done in this work. As stud…

Davey-Stewartson systems[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]equations dispersivesdispersive shocksexponential time-differencing[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]spectral methodschocs dispersifsnumerical methodsdispersive equationsNo english keywordssplit stepschemas de decomposition d'operateursmethodes spectrales[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Kadomtsev-Petviashvili equationintegrating factor methodparallel computing[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Pas de mot clé en français[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]methodes numeriquesblow upequation de Kadomtsev-PetviashviliIntegrateurs exponentielssystemes de Davey-Stewartsoncalcul parallele
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A fuzzy decision support tool for demand forecasting

2007

In this paper we present a decision support forecasting system to work with univariate time series based on the generalized exponential smoothing (Holt-Winters) approach. It is conceived as an integrated tool which has been implemented in Visual Basic. For improving the accuracy of the automatic forecasting it uses an optimization-based scheme which unifies the stages of estimation of the parameters and selects the best method using a fuzzy multicriteria approach. The elements of the set of local minima of the non-linear programming problems allow us to build the membership functions of the conflicting objectives. A set of real data is analyzed to show the performance of our forecasting too…

Decision support systembusiness.industryDecision theoryExponential smoothingFuzzy control systemDemand forecastingMachine learningcomputer.software_genreFuzzy logicNonlinear programmingArtificial intelligencebusinesscomputerEconomic forecastingMathematics2007 IEEE International Fuzzy Systems Conference
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