Search results for "optimization"

showing 10 items of 2824 documents

Negative S parameter from holographic technicolor.

2006

We present a new class of 5D models, Holographic Technicolor, which fulfills the basic requirements for a candidate of comprehensible 4D strong dynamics at the electroweak scale. It is the first Technicolor-like model able to provide a vanishing or even negative tree-level S parameter, avoiding any no-go theorem on its sign. The model is described in the large-N regime. S is therefore computable: possible corrections coming from boundary terms follow the 1/N suppression, and generation of fermion masses and the S parameter issue do split up. We investigate the model's 4D dual, probably walking Technicolor-like with a large anomalous dimension.

PhysicsHigh Energy Physics::PhenomenologyGeneral Physics and AstronomyDuality (optimization)Boundary (topology)FOS: Physical sciencesTechnicolorFermionDual (category theory)Theoretical physicsHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Dimension (vector space)Quantum mechanicsElectroweak scaleSign (mathematics)Physical review letters
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Nuclear magnetic resonance: The contrast imaging problem

2011

Starting as a tool for characterization of organic molecules, the use of NMR has spread to areas as diverse as pharmacology, medical diagnostics (medical resonance imaging) and structural biology. Recent advancements on the study of spin dynamics strongly suggest the efficiency of geometric control theory to analyze the optimal synthesis. This paper focuses on a new approach to the contrast imaging problem using tools from geometric optimal control. It concerns the study of an uncoupled two-spin system and the problem is to bring one spin to the origin of the Bloch ball while maximizing the modulus of the magnetization vector of the second spin. It can be stated as a Mayer-type optimal prob…

PhysicsMagnetizationMathematical optimizationTrajectoryApplied mathematicsContrast (statistics)Ball (mathematics)Optimal controlResonance (particle physics)Characterization (materials science)Spin-½IEEE Conference on Decision and Control and European Control Conference
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Indicators of Errors for Approximate Solutions of Differential Equations

2014

Error indicators play an important role in mesh-adaptive numerical algorithms, which currently dominate in mathematical and numerical modeling of various models in physics, chemistry, biology, economics, and other sciences. Their goal is to present a comparative measure of errors related to different parts of the computational domain, which could suggest a reasonable way of improving the finite dimensional space used to compute the approximate solution. An “ideal” error indicator must possess several properties: efficiency, computability, and universality. In other words, it must correctly reproduce the distribution of errors, be indeed computable, and be applicable to a wide set of approxi…

PhysicsMathematical optimizationDifferential equationComputabilityApproximate solutionUniversal differential equationDifferential algebraic equationType I and type II errorsNumerical partial differential equationsUniversality (dynamical systems)
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Special Section on Fractional Operators in the Analysis of Mechanical Systems Under Stochastic Agencies

2017

PhysicsMathematical optimizationDifferential equationStochastic processMechanical EngineeringMechanical systemNonlinear systemControl theoryPath integral formulationStatistical physicsUncertainty quantificationSafety Risk Reliability and QualitySafety ResearchBrownian motionASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
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Improved Neural Networks with Random Weights for Short-Term Load Forecasting.

2015

An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INNRW). The key is to introduce a weighting technique to the inputs of the model and use a novel neural network to forecast the daily maximum load. Eight factors are selected as the inputs. A mutual information weighting algorithm is then used to allocate different weights to the inputs. The neural networks with random weights and kernels (KNNRW) is applied to approximate the nonlinear function between the selected inputs and the daily maximum load…

PhysicsMathematical optimizationMultidisciplinaryArtificial neural networkGeneralizationlcsh:Rlcsh:MedicineA-weightingMutual informationWeightingSupport vector machineElectric power systemKernel methodElectric Power SuppliesNonlinear Dynamicslcsh:QNeural Networks Computerlcsh:ScienceAlgorithmsResearch ArticlePLoS ONE
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Conductivity reconstructions using real data from a new planar electrical impedance tomography device

2013

Abstract In this paper, we present results of reconstructions using real data from a new planar electrical impedance tomography device developed at the Institut fur Physik, Johannes Gutenberg Universitat, Mainz, Germany. The prototype consists of a planar sensing head of circular geometry, and it was designed mainly for breast cancer detection. There are 12 large outer electrodes arranged on a ring of radius  cm where the external currents are injected, and a set of 54 point-like high-impedance inner electrodes where the induced voltages are measured. Two direct (i.e. non-iterative) reconstruction algorithms are considered: one is based on a discrete resistor model, and the other one is an …

PhysicsMathematical optimizationbusiness.industryApplied MathematicsGeneral EngineeringRadiusConductivityIntegral equationComputer Science Applicationslaw.inventionPlanarOpticslawElectrodeResistorbusinessElectrical impedance tomographyVoltageInverse Problems in Science and Engineering
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Optimal β-beam at the CERN-SPS

2006

In this talk, based on the work [J. Burguet-Castell et al., Nucl. Phys. B 725 (2005) 306], we present an analysis of the sensitivity to the mixing angle θ 13 and the CP-violating phase δ that could be achieved by a β-beam experiment based at the SPS accelerator at CERN. We estimate the optimal γ boost of the 6He and 18Ne ions for the proposed baseline CERN-Frejus (130 km), and also perform a simultaneous optimization of the ion boost and the baseline. A possible improvement of the current SPS accelerator is considered as well. After comparing the sensitivities of all relevant setups, we conclude that a β-beam running at the maximum acceleration achievable by the SPS, γ = 150 / 250 , and wit…

PhysicsNuclear and High Energy PhysicsLarge Hadron Colliderbusiness.industryPhase (waves)Electrical engineeringAtomic and Molecular Physics and OpticsIonNuclear physicsAccelerationSensitivity (control systems)Simultaneous optimizationbusinessBeam (structure)Nuclear Physics B - Proceedings Supplements
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Forward Compton scattering with weak neutral current: Constraints from sum rules

2015

We generalize forward real Compton amplitude to the case of the interference of the electromagnetic and weak neutral current, formulate a low-energy theorem, relate the new amplitudes to the interference structure functions and obtain a new set of sum rules. We address a possible new sum rule that relates the product of the axial charge and magnetic moment of the nucleon to the 0th moment of the structure function $g_5(\nu,0)$. We apply the GDH and the finite energy sum rule for constraining the dispersive $\gamma Z$-box correction to the proton's weak charge.

PhysicsNuclear and High Energy PhysicsNuclear TheoryNeutral currentCompton scatteringFOS: Physical sciencesDuality (optimization)Charge (physics)Interference (wave propagation)lcsh:QC1-999Nuclear Theory (nucl-th)Moment (mathematics)High Energy Physics - PhenomenologyTheoretical physicsHigh Energy Physics - Phenomenology (hep-ph)Sum rule in quantum mechanicsNuclear Experiment (nucl-ex)NucleonNuclear Experimentlcsh:Physics
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On the singular behaviour of scattering amplitudes in quantum field theory

2014

We analyse the singular behaviour of one-loop integrals and scattering amplitudes in the framework of the loop--tree duality approach. We show that there is a partial cancellation of singularities at the loop integrand level among the different components of the corresponding dual representation that can be interpreted in terms of causality. The remaining threshold and infrared singularities are restricted to a finite region of the loop momentum space, which is of the size of the external momenta and can be mapped to the phase-space of real corrections to cancel the soft and collinear divergences.

PhysicsNuclear and High Energy PhysicsParticle physicsFOS: Physical sciencesDuality (optimization)FísicaPosition and momentum spaceDual representationScattering amplitudeCausality (physics)Loop (topology)High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Gravitational singularityQuantum field theoryMathematical physics
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Flavor changing neutral currents in the dualized standard model

1998

The Dualized Standard Model which gives explanations for both fermion generations and Higgs fields has already been used to calculate fermion mass and mixing parameters with success. In this paper, we extend its application to low energy FCNC effects deriving bounds for various processes in terms of one single mass scale. Using then experimental information from K_L - K_S mass difference and air showers beyond the GZK cut-off, these bounds are converted into rough, order-of-magnitude predictions. In particular, the estimates for the decay K_L \to e^\pm \mu^\mp and for the mass difference between the neutral D-mesons seem accessible to experiment in the near future.

PhysicsNuclear and High Energy PhysicsParticle physicsHigh Energy Physics::PhenomenologyElectroweak interactionFOS: Physical sciencesDuality (optimization)FísicaScale (descriptive set theory)FermionStandard ModelHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Higgs bosonHigh Energy Physics::ExperimentFlavorMixing (physics)
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