Search results for "REGULARIZATION"

showing 10 items of 189 documents

The two-loop soft function for heavy quark pair production at future linear colliders

2014

We report on the calculation of the threshold soft function for heavy quark pair production in e+ e- annihilation at two-loop order. Our main result is a generalization of the familiar Drell-Yan threshold soft function to the case of non-zero primary quark mass. We set up a framework based on the method of differential equations which allows for the straightforward calculation of the bare soft function to arbitrarily high orders in the dimensional regularization parameter. Remarkably, we find that we can obtain the bare two-loop Drell-Yan soft function from the heavy quark soft function to the order in epsilon required for a two-loop calculation by making simple replacements. We expect that…

QuarkPhysicsNuclear and High Energy PhysicsParticle physicsWilson loop010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyOrder (ring theory)FOS: Physical sciences01 natural sciencesBottom quarkMatrix (mathematics)Dimensional regularizationHigh Energy Physics - PhenomenologyPair productionHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesConnection (algebraic framework)010306 general physics
researchProduct

Laurent series expansion of a class of massive scalar one-loop integrals toO(ε2)

2005

We use dimensional regularization to calculate the O({epsilon}{sup 2}) expansion of all scalar one-loop one-, two-, three-, and four-point integrals that are needed in the calculation of hadronic heavy quark production. The Laurent series up to O({epsilon}{sup 2}) is needed as input to that part of the next-to-next-to-leading order corrections to heavy flavor production at hadron colliders where the one-loop integrals appear in the loop-by-loop contributions. The four-point integrals are the most complicated. The O({epsilon}{sup 2}) expansion of the three- and four-point integrals contains in general polylogarithms up to Li{sub 4} and functions related to multiple polylogarithms of maximal …

QuarkQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsDimensional regularizationQuantum electrodynamicsLaurent seriesHigh Energy Physics::PhenomenologyHadronScalar (mathematics)Series expansionMathematical physicsPhysical Review D
researchProduct

One-loop corrections to four-point functions with two external massive fermions and two external massless partons

2002

We present a complete set of one-loop matrix elements relevant for the hadroproduction of heavy quarks in next-to-leading order employing dimensional regularization to isolate ultraviolet and soft divergences. All results of the perturbative calculation are given in detail. These one-loop matrix elements can also be used as input in the determination of the corresponding next-to-leading order cross sections for heavy flavor photoproduction and in photon-photon reactions, as well as for any of the relevant crossed processes. Our results are tested against the results of other related studies in which unpolarized and longitudinally polarized processes were considered.

QuarkQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsParticle physicsHigh Energy Physics::PhenomenologyFOS: Physical sciencesDown quarkPartonFermionMassless particleHigh Energy Physics - PhenomenologyDimensional regularizationMatrix (mathematics)High Energy Physics - Phenomenology (hep-ph)Physical Review D
researchProduct

Constituent quark model study of light- and strange-baryon spectra

2005

We investigate the structure of the SU(3) octet and decuplet baryons employing a constituent quark model designed for the study of the baryon-baryon interaction and successfully applied to the meson spectra. The model considers through the interacting potential perturbative, one-gluon exchange, and non-perturbative, boson exchanges and confinement, aspects of the underlying theory, QCD. We solve the three-quark problem by means of the Faddeev method in momentum space. We analyze the effect of the different terms in the interaction and make contact with the use of relativistic kinematics. We find an explanation to the strong contribution of the pseudoscalar forces in the semirelativistic app…

QuarkQuantum chromodynamicsPhysicsNuclear and High Energy PhysicsParticle physicsMesonNuclear TheoryHigh Energy Physics::LatticeNuclear TheoryHigh Energy Physics::PhenomenologyHyperonConstituent quarkFOS: Physical sciencesFísicaGluonHigh Energy Physics - ExperimentBaryonNuclear Theory (nucl-th)High Energy Physics - Experiment (hep-ex)High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Regularization (physics)High Energy Physics::ExperimentNuclear Experiment
researchProduct

Dimensional reduction methods in QCD

1994

We apply the technique of dimensional reduction to massless quantum chromodynamics. It is shown that compared to conventional dimensional regularization methods calculations of radiative corrections at the one-loop level are less involved. We discuss the use of helicity methods within this framework and as an application we evaluate the one-loop corrections to the parity-violating cross sections and to the quark forwardbackward asymmetric polarization in\(e^ + e^ - \to V \to q\bar q(g)\). Finally, we demonstrate that further simplifications occur in the computation of structure functions including the parity-violating structure function in quark- and gluoninitiated electroproduction process…

QuarkQuantum chromodynamicsPhysicsParticle physicsPhysics and Astronomy (miscellaneous)Electron–positron annihilationHigh Energy Physics::PhenomenologyHelicityRenormalizationMassless particleDimensional regularizationDimensional reductionHigh Energy Physics::ExperimentEngineering (miscellaneous)Zeitschrift für Physik C Particles and Fields
researchProduct

Joint image and motion reconstruction for PET using a B-spline motion model.

2012

We present a novel joint image and motion reconstruction method for PET. The method is based on gated data and reconstructs an image together with a motion function. The motion function can be used to transform the reconstructed image to any of the input gates. All available events (from all gates) are used in the reconstruction. The presented method uses a B-spline motion model, together with a novel motion regularization procedure that does not need a regularization parameter (which is usually extremely difficult to adjust). Several image and motion grid levels are used in order to reduce the reconstruction time. In a simulation study, the presented method is compared to a recently propos…

Radiological and Ultrasound TechnologyDiscretizationbusiness.industryPhantoms ImagingB-splineMovementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMotion (geometry)Regularization (mathematics)Models BiologicalQuarter-pixel motionMotion fieldMotion estimationPositron-Emission TomographyDisplacement fieldImage Processing Computer-AssistedHumansRadiology Nuclear Medicine and imagingComputer visionJointsArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICSMathematicsPhysics in medicine and biology
researchProduct

Compartmental analysis of dynamic nuclear medicine data: Models and identifiability

2016

Compartmental models based on tracer mass balance are extensively used in clinical and pre-clinical nuclear medicine in order to obtain quantitative information on tracer metabolism in the biological tissue. This paper is the first of a series of two that deal with the problem of tracer coefficient estimation via compartmental modelling in an inverse problem framework. Specifically, here we discuss the identifiability problem for a general n-dimension compartmental system and provide uniqueness results in the case of two-compartment and three-compartment compartmental models. The second paper will utilize this framework in order to show how non-linear regularization schemes can be applied t…

Regularization (mathematics)Quantitative Biology - Quantitative Methods030218 nuclear medicine & medical imagingTheoretical Computer ScienceData modeling03 medical and health sciences0302 clinical medicinecompartmental analysis; identifiability; nuclear medicine dataTRACERFOS: Mathematicscompartmental analysisUniquenessMathematics - Numerical AnalysisMathematical PhysicsQuantitative Methods (q-bio.QM)Mathematicsbusiness.industryApplied MathematicsBiological tissueNumerical Analysis (math.NA)Inverse problemidentifiabilityComputer Science ApplicationsNonlinear systemnuclear medicine dataFOS: Biological sciencesSignal ProcessingIdentifiabilityNuclear medicinebusiness030217 neurology & neurosurgery
researchProduct

An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions

2008

An empirical evaluation of linear and kernel common vector based approaches has been considered in this work. Both versions are extended by considering directions (attributes) that carry out very little information as if they were null. Experiments on different kinds of data confirm that using this as a regularization parameter leads to usually better (and never worse) results than the basic algorithms.

Regularization (physics)Classification methodsData miningcomputer.software_genrecomputerMathematics
researchProduct

Regularization operators for natural images based on nonlinear perception models.

2006

Image restoration requires some a priori knowledge of the solution. Some of the conventional regularization techniques are based on the estimation of the power spectrum density. Simple statistical models for spectral estimation just take into account second-order relations between the pixels of the image. However, natural images exhibit additional features, such as particular relationships between local Fourier or wavelet transform coefficients. Biological visual systems have evolved to capture these relations. We propose the use of this biological behavior to build regularization operators as an alternative to simple statistical models. The results suggest that if the penalty operator take…

Regularization perspectives on support vector machinesInformation Storage and RetrievalImage processingRegularization (mathematics)Pattern Recognition AutomatedOperator (computer programming)Artificial IntelligenceImage Interpretation Computer-AssistedCluster AnalysisComputer SimulationImage restorationMathematicsModels Statisticalbusiness.industryWavelet transformSpectral density estimationStatistical modelPattern recognitionNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedImage EnhancementComputer Graphics and Computer-Aided DesignNonlinear DynamicsArtificial intelligencebusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
researchProduct

Perturbative quantum field theory

2000

pQFT In this chapter we repeat the main steps towards a derivation of the Feynman rules, following the well-known path of canonical quantization. This is standard material, and readers who are not acquainted with such topics are referred to [Bjorken and Drell 1965, Bogoliubov and Shirkov 1980, Itzykson and Zuber 1980, Kaku 1993, Weinberg 1995, Peskin and Schroeder 1995, Teller 1997]. We hope that the short summary given here, similar to that in [Kreimer 1997a], is helpful for readers who want to refresh their memory. Having introduced Feynman rules, we next introduce Schwinger–Dyson equations as a motivation for the introduction of Z -factors. We remark on dimensional regularization and giv…

Renormalizationsymbols.namesakeDimensional regularizationCanonical quantizationRegularization (physics)symbolsFeynman diagramPropagatorQuantum field theory16. Peace & justiceMathematical physicsMathematicsFeynman slash notation
researchProduct