Search results for "Spacetime"

showing 10 items of 159 documents

Flavour and CP predictions from orbifold compactification

2020

We propose a theory for fermion masses and mixings in which an $A_4$ family symmetry arises naturally from a six-dimensional spacetime after orbifold compactification. The flavour symmetry leads to the successful "golden" quark-lepton unification formula. The model reproduces oscillation parameters with good precision, giving sharp predictions for the CP violating phases of quarks and leptons, in particular $\delta^\ell \simeq +268 ^\circ$. The effective neutrinoless double-beta decay mass parameter is also sharply predicted as $\langle m_{\beta\beta}\rangle \simeq 2.65\ meV$.

QuarkPhysicsNuclear and High Energy PhysicsParticle physicsSpacetimeCompactification (physics)010308 nuclear & particles physicsHigh Energy Physics::LatticeFlavourHigh Energy Physics::PhenomenologyFOS: Physical sciencesFermion01 natural sciencesComputer Science::Digital Librarieslcsh:QC1-999High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesHigh Energy Physics::Experiment010306 general physicsMass parameterOrbifoldlcsh:PhysicsLepton
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Including Covariates in the ETAS Model Triggered Seismicity

2020

The paper proposes a stochastic process that improves the assessment of seismic events in space and time, considering a contagion model (branching process) within a regression-like framework to take covariates into account. The proposed approach develops the Forward Likelihood for prediction (FLP) method for estimating the ETAS model, including covariates in the model specification of the epidemic component. A simulation study is carried out for analysing the misspecification model effect under several scenarios. Also an application to the Italian catalogue is reported, together with the reference to the developed R package.

R packageSpecificationSpacetimeComputer scienceStochastic processComponent (UML)CovariateEconometricsStatistics::MethodologyInduced seismicityBranching processSSRN Electronic Journal
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Representation of solutions and large-time behavior for fully nonlocal diffusion equations

2017

Abstract We study the Cauchy problem for a nonlocal heat equation, which is of fractional order both in space and time. We prove four main theorems: (i) a representation formula for classical solutions, (ii) a quantitative decay rate at which the solution tends to the fundamental solution, (iii) optimal L 2 -decay of mild solutions in all dimensions, (iv) L 2 -decay of weak solutions via energy methods. The first result relies on a delicate analysis of the definition of classical solutions. After proving the representation formula we carefully analyze the integral representation to obtain the quantitative decay rates of (ii). Next we use Fourier analysis techniques to obtain the optimal dec…

Riemann-Liouville derivativeRiemann–Liouville derivativenonlocal diffusion01 natural sciencesdecay of solutionssymbols.namesakeMathematics - Analysis of PDEsFundamental solutionFOS: MathematicsInitial value problemApplied mathematics0101 mathematicsMathematicsfundamental solutionSpacetimeApplied Mathematics010102 general mathematicsta111energy inequalityRandom walk010101 applied mathematicsPrimary 35R11 Secondary 45K05 35C15 47G20Fourier analysisNorm (mathematics)Bounded functionsymbolsHeat equationfractional LaplacianAnalysisAnalysis of PDEs (math.AP)
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MAST solution of irrotational flow problems in 2D domains with strongly unstructured triangular meshes

2010

A new methodology for the solution of irrotational 2D flow problems in domains with strongly unstructured meshes is presented. A fractional time step procedure is applied to the original governing equations, solving consecutively a convective prediction system and a diffusive corrective system. The non linear components of the problem are concentrated in the prediction step, while the correction step leads to the solution of a linear system, of the order of the number of computational cells. A MArching in Space and Time (MAST) approach is applied for the solution of the convective prediction step. The major advantages of the model, as well as its ability to maintain the solution monotonicit…

Shallow water numerical models MASTConvectionNonlinear systemSpacetimeLinear systemApplied mathematicsMonotonic functionPolygon meshGeometryConservative vector fieldShallow water equationsSettore ICAR/01 - IdraulicaMathematicsAIP Conference Proceedings
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Present-day use of an empirical wave prediction method

2016

Knowledge of the offshore wave climate is key to the design of coastal engineering structures and to the study of shoreline evolution. To date, the available wave data have been limited both in time and space; even though there are several options for obtaining wave data calculated using complex numerical models at basin scale, design issues can in some cases be solved by means of simpler models. This paper shows whether, under certain conditions and in an enclosed basin, an old empirical model can provide results that are good enough to determine the design condition necessary for engineering purposes. The empirical model chosen to answer this question is called Sverdrup–Munk–Bretschneide…

ShoreEngineeringgeographygeography.geographical_feature_categoryBuoySpacetimebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia0211 other engineering and technologiesDesign methods and aidOcean Engineering02 engineering and technologyStructural basinPresent dayCivil engineeringCoastal engineeringSettore ICAR/01 - Idraulica021105 building & constructionCoastal engineeringSubmarine pipelineMathematical modelingbusinessBasin scale021101 geological & geomatics engineering
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Visualization of Parameter Sensitivity of 2D Time-Dependent Flow

2018

In this paper, we present an approach to analyze 1D parameter spaces of time-dependent flow simulation ensembles. By extending the concept of the finite-time Lyapunov exponent to the ensemble domain, i.e., to the parameter that gives rise to the ensemble, we obtain a tool for quantitative analysis of parameter sensitivity both in space and time. We exemplify our approach using 2D synthetic examples and computational fluid dynamics ensembles.

SpacetimeComputer sciencebusiness.industry020207 software engineering02 engineering and technologyLyapunov exponentComputational fluid dynamicsDomain (mathematical analysis)Visualizationsymbols.namesakeFlow (mathematics)0202 electrical engineering electronic engineering information engineeringsymbolsTime dependent flowStatistical physicsSensitivity (control systems)business
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Coxeter on People and Polytopes

2004

H. S. M. Coxeter, known to his friends as Donald, was not only a remarkable mathematician. He also enriched our historical understanding of how classical geometry helped inspire what has sometimes been called the nineteenth-century’s non-Euclidean revolution (Fig. 35.1). Coxeter was no revolutionary, and the non-Euclidean revolution was already part of history by the time he arrived on the scene. What he did experience was the dramatic aftershock in physics. Countless popular and semi-popular books were written during the early 1920s expounding the new theory of space and time propounded in Einstein’s general theory of relativity. General relativity and subsequent efforts to unite gravitati…

SpacetimeGeneral relativityGeneral MathematicsCoxeter groupArt historyPhysics::History of Physicssymbols.namesakeHistory and Philosophy of ScienceDifferential geometryCoxeter complexsymbolsArtin groupEinsteinCoxeter elementThe Mathematical Intelligencer
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Including covariates in a space-time point process with application to seismicity

2020

AbstractThe paper proposes a spatio-temporal process that improves the assessment of events in space and time, considering a contagion model (branching process) within a regression-like framework to take covariates into account. The proposed approach develops the forward likelihood for prediction method for estimating the ETAS model, including covariates in the model specification of the epidemic component. A simulation study is carried out for analysing the misspecification model effect under several scenarios. Also an application to the Italian seismic catalogue is reported, together with the reference to the developed R package.

Statistics and ProbabilityMathematical optimization010504 meteorology & atmospheric sciencesSpacetimeComputer scienceSpace timeSpace-time point processes ETAS model R package for seismic datacovariatesProcess (computing)01 natural sciencesPoint process010104 statistics & probabilitySpecificationComponent (UML)Covariate0101 mathematicsStatistics Probability and Uncertainty0105 earth and related environmental sciencesBranching process
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A marching in space and time solver for the complete 2D shallow water equations. Application to real test cases.

2006

Test caseSpacetimeMathematical analysisSolverShallow water equationsMathematics
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Extracting string motif bases for quorum higher than two

2012

Bases of generators of motifs consisting of strings in which some positions can be occupied by a don’t care provide a useful conceptual tool for their description and a way to reduce the time and space involved in the discovery process. In the last few years, a few algorithms have been proposed for the extraction of a basis, building in large part on combinatorial properties of strings and their autocorrelations. Currently, the most efficient techniques for binary alphabets and quorum q = 2 require time quadratic in the length of the host string. The present paper explores properties of motif bases for quorum q ≥ 2, both with binary and general alphabets, by also showing that important resu…

Theoretical computer scienceGeneral Computer ScienceBasis (linear algebra)Computational complexity theorySpacetimeString (computer science)Binary numberTheoretical Computer ScienceBusiness process discoverySet (abstract data type)Quadratic equationpattern discovery string motif basisComputer Science(all)MathematicsTheoretical Computer Science
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