Search results for "ERROR ANALYSIS"

showing 10 items of 38 documents

Error analysis of nuclear mass fits

2008

We discuss the least-square and linear-regression methods, which are relevant for a reliable determination of good nuclear-mass-model parameter sets and their errors. In this perspective, we define exact and inaccurate models and point out differences in using the standard error analyses for them. As an illustration, we use simple analytic models for nuclear binding energies and study the validity and errors of models' parameters, and uncertainties of its mass predictions. In particular, we show explicitly the influence of mass-number dependent weights on uncertainties of liquid-drop global parameters.

PhysicsMass numberNuclear and High Energy PhysicsNuclear TheoryFOS: Physical sciencesNuclear Theory (nucl-th)Perspective (geometry)Standard errorError analysisSimple (abstract algebra)Curve fittingPoint (geometry)Statistical physicsInterpolation
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The deuteron-radius puzzle is alive: A new analysis of nuclear structure uncertainties

2018

To shed light on the deuteron radius puzzle we analyze the theoretical uncertainties of the nuclear structure corrections to the Lamb shift in muonic deuterium. We find that the discrepancy between the calculated two-photon exchange correction and the corresponding experimentally inferred value by Pohl et al. [1] remain. The present result is consistent with our previous estimate, although the discrepancy is reduced from 2.6 $\sigma$ to 2 $\sigma$. The error analysis includes statistic as well as systematic uncertainties stemming from the use of nucleon-nucleon interactions derived from chiral effective field theory at various orders. We therefore conclude that nuclear theory uncertainty is…

PhysicsNuclear and High Energy PhysicsNuclear Theory010308 nuclear & particles physicsNuclear TheoryNuclear structureFOS: Physical sciencesSigmaRadius01 natural scienceslcsh:QC1-999Lamb shiftNuclear Theory (nucl-th)Nuclear physicsDeuteriumError analysis0103 physical sciencesEffective field theory010306 general physicsNuclear ExperimentNuclear theorylcsh:PhysicsPhysics Letters B
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A computational approximation for the solution of retarded functional differential equations and their applications to science and engineering

2021

<p style='text-indent:20px;'>Delay differential equations are of great importance in science, engineering, medicine and biological models. These type of models include time delay phenomena which is helpful for characterising the real-world applications in machine learning, mechanics, economics, electrodynamics and so on. Besides, special classes of functional differential equations have been investigated in many researches. In this study, a numerical investigation of retarded type of these models together with initial conditions are introduced. The technique is based on a polynomial approach along with collocation points which maintains an approximated solutions to the problem. Beside…

PolynomialControl and OptimizationCollocationDifferential equationApplied MathematicsStrategy and ManagementScience and engineeringDelay differential equationNumerical Analysis (math.NA)Type (model theory)Atomic and Molecular Physics and OpticsError analysisFOS: Mathematics34K40 33C45 40C05 65L60 65G50Applied mathematicsMathematics - Numerical AnalysisBusiness and International ManagementElectrical and Electronic EngineeringMatrix methodMathematics
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Data Treatment and Error Analysis in Kinetics

2000

Methods of data treatment in kinetics are reviewed from a practical viewpoint. The equations to describe the kinetics of chemical reactions and the methodology to obtain the models are presented. Moreover, the integration methods that are needed for the simulation of complex reactions are explained, from the simple first-order reaction to the complex general mechanism. However, it is essential to know the main sources of error in data treatment in order to reduce their effects on the results. Stress is put on the analysis of the errors due to the simplification of complex models. The different factors that influence the kinetics of the reaction are reviewed. How to take advantage of the kin…

Propagation of uncertaintyMultivariate statisticsError analysisSimple (abstract algebra)Computer scienceKineticsStatisticsUnivariateExperimental dataApplied mathematicsData treatment
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Is there any scaling in the cluster distribution?

1994

We apply fractal analysis methods to investigate the scaling properties in the Abell and ACO catalogs of rich galaxy clusters. We also discuss different technical aspects of the method when applied to data sets with small number of points as the cluster catalogs. Results are compared with simulations based on the Zel'dovich approximation. We limit our analysis to scales less than 100 $\hm$. The cluster distribution show a scale invariant multifractal behavior in a limited scale range. For the Abell catalog this range is 15--60$\hm$, while for the ACO sample it extends to smaller scales. Despite this difference in the extension of the scale--range where scale--invariant clustering takes plac…

Scale (ratio)FOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsCOMPUTERIZED SIMULATIONAstrophysicsSTATISTICAL CORRELATIONFractalSCALING LAWSCluster (physics)Statistical physicsMATHEMATICAL MODELSScalingGalaxy clusterPhysicsASTRONOMICAL CATALOGSAstrophysics (astro-ph)ERROR ANALYSISAstronomy and AstrophysicsMultifractal systemScale invarianceFractal analysisFRACTALSSpace and Planetary ScienceASTRONOMICAL MODELSCLUSTER ANALYSISCOSMOLOGYGALACTIC CLUSTERS
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An intelligent way to predict the building thermal needs: ANNs and optimization

2022

The evaluation of the energy performance of existing or new buildings is a fundamental action to guarantee the feasibility of a project and the achievement of the minimum efficiency requirements. In general, the determination of the thermal loads of a building is carried out via software but their use requires adequate knowledge of physical phenomena and therefore the presence of an expert user. Furthermore, the resolution can be difficult to implement and can require high computational costs; all conditions that can influence the success of a project. Based on these considerations, this work proposes an alternative solution to traditional calculation tools, which in a simple and effective …

Settore ING-IND/11 - Fisica Tecnica AmbientaleArtificial IntelligenceGeneral EngineeringArtificial Neural Network Thermal energy demand Forecast method Sensitivity analysis Statistical error analysisComputer Science ApplicationsExpert Systems with Applications
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Estimation of significant solvent concentration ranges and its application to the enhancement of the accuracy of gradient predictions.

2004

Abstract The solvent concentration range actually useful for gradient predictions is significantly narrower than the total range scanned in a gradient run. This range, called “solvent informative range” (SIR), if known with the highest accuracy, allows to predict gradient retention times ( t g ) with minimal error. The small size of the SIR supports the application of the linear solvent strength theory (LSST). Furthermore, LSST allows a closed-form solution to the integral required to predict gradient retention times, which eliminates numerical integration, needed with other retention models. A methodology that calculates the SIR by applying error analysis, and uses it to improve the accura…

Training setChromatographyChemistryElutionOrganic ChemistryMode (statistics)Reproducibility of ResultsGeneral MedicineBiochemistryAnalytical ChemistryNumerical integrationSolventError analysisRange (statistics)SolventsIndicators and ReagentsConstant (mathematics)AlgorithmsJournal of chromatography. A
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A posteriori error estimates for Webster's equation in wave propagation

2015

We consider a generalised Webster’s equation for describing wave propagation in curved tubular structures such as variable diameter acoustic wave guides. Webster’s equation in generalised form has been rigorously derived in a previous article starting from the wave equation, and it approximates cross-sectional averages of the propagating wave. Here, the approximation error is estimated by an a posteriori technique. peerReviewed

Wave propagationWave propagationApplied MathematicsMathematical analysista111Tubular domainDynamical Systems (math.DS)Acoustic waveWave equationPrimary 37L05. Secondary 35L05 35L20 47N70 93C20A posteriori error analysisMathematics - Analysis of PDEsApproximation errorFOS: MathematicsCalculusA priori and a posterioriWebster's modelMathematics - Dynamical SystemsAnalysisAnalysis of PDEs (math.AP)MathematicsVariable (mathematics)
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Multi-Resolution error analysis of predicted absorption coefficients. Method and application to the infrared spectrum of methane at high temperature.

2010

La version V2 inclut les modifications proposées par les reviewers.; International audience; A general method for the estimation of the confidence interval of molecular absorption coefficients is presented. Statistical numerical experiments are implemented to quantify the propagation of errors from line parameters to absorption coefficients or cross-sections as a function of the resolution. The method uses line parameter predictions (position and intensity) with estimated uncertainties derived from global polyad models. This work is especially intended to provide expert information for applications requiring theoretical predictions for which the present state of the art of line by line high…

Work (thermodynamics)010504 meteorology & atmospheric sciencesContext (language use)Absorption coefficient02 engineering and technology01 natural sciencesPosition (vector)0202 electrical engineering electronic engineering information engineeringAbsorption (electromagnetic radiation)Spectroscopy0105 earth and related environmental sciencesRemote sensingLine (formation)Physics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Propagation of uncertaintyRadiationHigh temperatureAtomic and Molecular Physics and OpticsComputational physics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Error analysisAttenuation coefficient020201 artificial intelligence & image processingVibration-rotation spectroscopyHigh-resolutionInfraredMethaneEnergy (signal processing)
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Multi-Resolution error analysis of predicted absorption coefficients. Method and computer implementation. Application to the infrared spectrum of met…

2009

A general method for the estimation of the confidence interval of molecular absorption coefficients is presented. It combines statistical numerical experiments with analytical calculations. The method uses line parameter predictions (position and intensity) with known estimated uncertainties. The propagation of errors from line parameters to absorption coefficients or cross-sections are analyzed in detail as a function of the resolution. This work is especially intended to provide expert information for applications requiring theoretical predictions for which the present state of the art of line by line high-resolution modeling is not accurate enough to meet the experimental precision. As a…

[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]multi-resolution[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Computational spectroscopyabsorption coefficientinfrared cross-section[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]error analysis
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