Search results for "variance"

showing 10 items of 2030 documents

Search for violation of Lorentz invariance in top quark pair production and decay

2012

Using data collected with the D0 detector at the Fermilab Tevatron Collider, corresponding to 5.3 fb$^{-1}$ of integrated luminosity, we search for violation of Lorentz invariance by examining the \ttbar production cross section in lepton+jets final states. We quantify this violation using the standard-model extension framework, which predicts a dependence of the \ttbar production cross section on sidereal time as the orientation of the detector changes with the rotation of the Earth. Within this framework, we measure components of the matrices $(c_Q)_{\mu\nu 33}$ and $(c_U)_{\mu\nu 33}$ containing coefficients used to parametrize violation of Lorentz invariance in the top quark sector. Wit…

PhysicsTop quarkParticle physics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyTevatronFOS: Physical sciencesGeneral Physics and AstronomyLorentz covariance01 natural sciencesHigh Energy Physics - ExperimentStandard ModelNuclear physicsHigh Energy Physics - Experiment (hep-ex)Pair productionStandard-Model ExtensionExperimental High Energy Physics0103 physical sciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSING[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Production (computer science)High Energy Physics::Experiment010306 general physicsLepton
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Phase Noise and Frequency Stability of the Red-Pitaya Internal PLL

2019

In field-programmable gate array platforms, the main clock is generally a low-cost quartz oscillator whose stability is of the order of $10^{-9}$ to $10^{-10}$ in the short term and $10^{-7}$ to $10^{-8}$ in the medium term, with the uncertainty of tens of ppm. Better stability is achieved by feeding an external reference into the internal phase-locked loop (PLL). We report the noise characterization of the internal PLL of Red-Pitaya platform, an open-source embedded system architected around the Zynq 7010 System on Chip, with analog-to-digital and digital-to-analog converters. Our experiments show that, providing an external 10-MHz reference, the PLL exhibits a residual frequency stability…

Physics[SPI.OTHER]Engineering Sciences [physics]/OtherAcoustics and UltrasonicsBandwidth (signal processing)Topology01 natural sciencesMetrologyPhase-locked loopGate array0103 physical sciencesPhase noiseSystem on a chipElectrical and Electronic EngineeringAllan variance010301 acousticsInstrumentationCrystal oscillator
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Analytical formula for calculating the focal shift in apodized systems

1998

We report a quite simple analytical formula for the evaluation of the focal shift in apodized systems, with or without rotational invariance. Specifically it is shown that the magnitude of the focal shift is determined by the product of the Fresnel number of the focusing geometry and the standard deviation of a mapped version of the azimuthal average of the pupil transmittance. To illustrate our approach, several examples are examined.

Physicsbusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsMagnitude (mathematics)Standard deviationAtomic and Molecular Physics and OpticsAzimuthOpticsApodizationProduct (mathematics)TransmittanceFresnel numberRotational invariancebusinessJournal of Modern Optics
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New physics vs new paradigms: distinguishing CPT violation from NSI

2019

Our way of describing Nature is based on local relativistic quantum field theories, and then CPT symmetry, a natural consequence of Lorentz invariance, locality and hermiticity of the Hamiltonian, is one of the few if not the only prediction that all of them share. Therefore, testing CPT invariance does not test a particular model but the whole paradigm. Current and future long baseline experiments will assess the status of CPT in the neutrino sector at an unprecedented level and thus its distinction from similar experimental signatures arising from non-standard interactions is imperative. Whether the whole paradigm is at stake or just the standard model of neutrinos crucially depends on th…

Physics::General PhysicsPhysics and Astronomy (miscellaneous)CPT symmetryPhysics beyond the Standard ModelFOS: Physical scienceslcsh:AstrophysicsLorentz covariance01 natural sciencesPartícules (Física nuclear)High Energy Physics - Experimentsymbols.namesakeTheoretical physicsHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Violació CP (Física nuclear)lcsh:QB460-4660103 physical scienceslcsh:Nuclear and particle physics. Atomic energy. RadioactivityQuantum field theory010306 general physicsEngineering (miscellaneous)Physics010308 nuclear & particles physicsLocalityHigh Energy Physics::PhenomenologyHigh Energy Physics - Phenomenologysymbolslcsh:QC770-798High Energy Physics::ExperimentNeutrinoHamiltonian (quantum mechanics)
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Why does placing the question before an arithmetic word problem improve performance. A situation model account.

2007

The aim of this paper is to investigate the controversial issue of the nature of the representation constructed by individuals to solve arithmetic word problems. More precisely, we consider the relevance of two different theories: the situation or mental model theory (Johnson-Laird, 1983; Reusser, 1989) and the schema theory (Kintsch & Greeno, 1985; Riley, Greeno, & Heller, 1983). Fourth-graders who differed in their mathematical skills were presented with problems that varied in difficulty and with the question either before or after the text. We obtained the classic effect of the position of the question, with better performance when the question was presented prior to the text. …

PhysiologyConcept FormationIntelligenceMental model050109 social psychologyExperimental and Cognitive PsychologyModels Psychological050105 experimental psychologyddc:150Physiology (medical)Situation modelMathematical skillTask Performance and AnalysisReaction TimeHumans0501 psychology and cognitive sciencesArithmeticChildGeneral PsychologyProblem SolvingCognitive scienceAnalysis of Variance05 social sciencesGeneral MedicineWord problem (mathematics education)Neuropsychology and Physiological Psychology[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/PsychologyPsychologyPsychological TheoryMathematicsCognitive psychology
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There is no clam with coats in the calm coast: delimiting the transposed-letter priming effect.

2009

In this article, we explore the transposed-letter priming effect (e.g., jugde–JUDGE vs. jupte–JUDGE), a phenomenon that taps into some key issues on how the brain encodes letter positions and has favoured the creation of new input coding schemes. However, almost all the empirical evidence from transposed-letter priming experiments comes from nonword primes (e.g., jugde–JUDGE). Indeed, previous evidence when using word–word pairs (e.g., causal–CASUAL) is not conclusive. Here, we conducted five masked priming lexical decision experiments that examined the relationship between pairs of real words that differed only in the transposition of two of their letters (e.g., CASUAL vs. CAUSAL). Result…

PhysiologyDecision MakingExperimental and Cognitive PsychologyLexiconVocabularyAssociationPhoneticsPhysiology (medical)Lexical decision taskReaction TimeHumansGeneral Psychologycomputer.programming_languageAnalysis of VariancePhoneticsCognitionLinguisticsRecognition PsychologyGeneral MedicineLinguisticsNeuropsychology and Physiological PsychologySpainLexicoPsychologycomputerPriming (psychology)Perceptual MaskingOrthographyPhotic StimulationTransposed letter effectQuarterly journal of experimental psychology (2006)
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Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR

2021

In medical image segmentation, several studies have used Bayesian neural networks to segment and quantify the uncertainty of the images. These studies show that there might be an increased epistemic uncertainty in areas where there are semantically and visually challenging pixels. The uncertain areas of the image can be of a great interest as they can possibly indicate the regions of incorrect segmentation. To leverage the uncertainty information, we propose a segmentation model that incorporates the uncertainty into its learning process. Firstly, we generate the uncertainty estimate (sample variance) using Monte-Carlo dropout during training. Then we incorporate it into the loss function t…

PixelCalibration (statistics)business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionImage segmentationLeverage (statistics)SegmentationSample varianceArtificial intelligenceUncertainty quantificationbusinessDropout (neural networks)
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Shape Description for Content-Based Image Retrieval

2000

The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be employed for CBIR applications.To this aim, a recognition system has been developed, that detects automatically image ROIs containing single objects, and classifies them as belonging to a particular class of shapes.In our approach we make use of the eigenvalues of the covariance matrix computed from the pixel rows of a single ROI. These quantities are arranged in a vector form, and are classified using Support Vector Machines (SVMs). The selected feature allows us to recognize shapes in a robust fashion, despite rotations or…

PixelContextual image classificationbusiness.industryComputer scienceCovariance matrixComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionContent-based image retrievalSupport vector machineComputingMethodologies_PATTERNRECOGNITIONFeature (computer vision)Computer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)Computer visionArtificial intelligencebusiness
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A Statistical Matrix Representation Using Sliced Orthogonal Nonlinear Correlations for Pattern Recognition

2000

In pattern recognition, the choice of features to be detected is a critical factor to determine the success or failure of a method; much research has gone into finding the best features for particular tasks [1]. When images are detected by digital cameras, they are usually acquired as rectangular arrays of pixels, so the initial features are pixel values. Some methods use those pixel values directly for processing, for instance in normal matched filtering [2], whereas other methods execute some degree of pre-processing, such as binarizing the pixel values [3].

PixelDegree (graph theory)Computer sciencebusiness.industryCovariance matrixMatrix representationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionNonlinear systemPattern recognition (psychology)Sliced inverse regressionComputer visionArtificial intelligencebusinessRepresentation (mathematics)
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Subliminal fear priming potentiates negative facial reactions to food pictures in women with anorexia nervosa.

2010

BackgroundTo investigate hedonic reactivity and the influence of unconscious emotional processes on the low sensitivity to positive reinforcement of food in anorexia nervosa (AN).MethodAN and healthy women were exposed to palatable food pictures just after a subliminal exposure to facial expressions (happy, disgust, fear and neutral faces), either while fasting or after a standardized meal (hungerversussatiety). Both implicit [facial electromyographic (EMG) activity from zygomatic and corrugator muscles, skin conductance, heart rate, and videotaped facial behavior] and explicit (self-reported pleasure and desire) measures of affective processes were recorded.ResultsIn contrast to healthy wo…

PleasureMESH : Galvanic Skin ResponseAnorexia NervosaMESH : Recognition (Psychology)AudiologyDevelopmental psychologyAdult Affect Analysis of Variance Anorexia Nervosa/ psychology Cues Electromyography/methods/statistics & numerical data Face Facial Expression Fear/ psychology Female Food Galvanic Skin Response Heart Rate Humans Hunger Motivation MuscleMESH : FearTask Performance and AnalysisEmotional expressionMESH : Task Performance and AnalysisMESH : Muscle Skeletalmedia_commonMESH : Reinforcement (Psychology)MESH: Subliminal Stimulationdigestive oral and skin physiologyFearMESH: Recognition (Psychology)MESH: Reinforcement (Psychology)Facial ExpressionPsychiatry and Mental healthMESH: Photic StimulationMESH: PleasureMESH : MotivationVisual PerceptionMESH : FaceMESH : FoodFacial electromyographyReinforcement PsychologyMESH: Anorexia NervosaMESH : Visual Perceptionmedicine.medical_specialtymedia_common.quotation_subjectMESH: MotivationMESH : Facial ExpressionMESH: ElectromyographyMESH : HungerHumansMESH: HumansMESH: SatiationMESH: Visual PerceptionMESH : CuesElectromyographyMESH : HumansRecognition PsychologyMESH: AdultMESH: Task Performance and Analysismedicine.diseaseDisgustFoodFaceMESH: FemalePhotic StimulationMESH: CuesMESH: Facial ExpressionHunger[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionMESH: FearMESH : Photic StimulationMESH : Analysis of VarianceAnorexia nervosaHeart RateMESH: Unconscious (Psychology)MESH : FemaleMESH: Heart RateApplied PsychologyMESH: Muscle SkeletalUnconscious PsychologyMESH: AffectGalvanic Skin ResponseMESH : AdultSkeletal Photic Stimulation/ methods Pleasure Recognition (Psychology) Reinforcement (Psychology) Satiation Subliminal Stimulation Task Performance and Analysis Unconscious (Psychology) Visual PerceptionMESH : Unconscious (Psychology)MESH: HungerMESH: Galvanic Skin ResponseMESH : Anorexia NervosaMESH : ElectromyographyFemaleCuesPsychologyMESH : Subliminal StimulationPriming (psychology)MESH: FaceMESH: FoodAdultMESH : PleasureSatiationSubliminal StimulationPleasureMESH: Analysis of VariancemedicineMuscle SkeletalFacial expressionAnalysis of VarianceMotivationMESH : Heart RateSubliminal stimuliMESH : AffectAffect[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMESH : Satiation
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