Search results for "hidden"

showing 10 items of 210 documents

D6-brane model building onZ2×Z6: MSSM-like and left–right symmetric models

2015

Abstract We perform a systematic search for globally defined MSSM-like and left–right symmetric models on D6-branes on the T 6 / ( Z 2 × Z 6 × Ω R ) orientifold with discrete torsion. Our search is exhaustive for models that are independent of the value of the one free complex structure modulus. Preliminary investigations suggest that there exists one prototype of visible sector for MSSM-like and another for left–right symmetric models with differences arising from various hidden sector completions to global models. For each prototype, we provide the full matter spectrum, as well as the Yukawa and other three-point couplings needed to render vector-like matter states massive. This provides …

Hidden sectorQuarkPhysicsNuclear and High Energy PhysicsTheoretical physicsParticle physicsOrientifoldHigh Energy Physics::PhenomenologyYukawa potentialBraneAxionLeptonMinimal Supersymmetric Standard ModelNuclear Physics B
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Hidden sector dark matter and the Galactic Center gamma-ray excess: a closer look

2017

Stringent constraints from direct detection experiments and the Large Hadron Collider motivate us to consider models in which the dark matter does not directly couple to the Standard Model, but that instead annihilates into hidden sector particles which ultimately decay through small couplings to the Standard Model. We calculate the gamma-ray emission generated within the context of several such hidden sector models, including those in which the hidden sector couples to the Standard Model through the vector portal (kinetic mixing with Standard Model hypercharge), through the Higgs portal (mixing with the Standard Model Higgs boson), or both. In each case, we identify broad regions of parame…

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsParticle physicsHyperchargeCosmology and Nongalactic Astrophysics (astro-ph.CO)Large Hadron Collider010308 nuclear & particles physicsAstrophysics::High Energy Astrophysical PhenomenaHigh Energy Physics::PhenomenologyDark matterFOS: Physical sciencesAstronomy and AstrophysicsContext (language use)01 natural sciencesStandard ModelHidden sectorHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Antiproton0103 physical sciencesHiggs bosonAstrophysics - High Energy Astrophysical Phenomena010306 general physicsAstrophysics - Cosmology and Nongalactic AstrophysicsJournal of Cosmology and Astroparticle Physics
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On axionic dark matter in Type IIA string theory

2013

We investigate viable scenarios with various axions in the context of supersymmetric field theory and in globally consistent D-brane models. The Peccei-Quinn symmetry is associated with an anomalous U(1) symmetry, which acquires mass at the string scale but remains as a perturbative global symmetry at low energies. The origin of the scalar Higgs-axion potential from F-, D- and soft breaking terms is derived, and two Standard Model examples of global intersecting D6-brane models in Type II orientifolds are presented, which differ in the realisation of the Higgs sector and in the hidden sector, the latter of which is of particluar importance for the soft supersymmetry breaking terms.

High Energy Physics - TheoryPhysicsHigh Energy Physics::PhenomenologyGeneral Physics and AstronomyFOS: Physical sciencesGlobal symmetryString theorySupersymmetry breakingString (physics)Symmetry (physics)Higgs sectorStandard ModelHidden sectorHigh Energy Physics - PhenomenologyTheoretical physicsHigh Energy Physics::TheoryHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics - Theory (hep-th)
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Shared online spreadsheets and hidden profiles: Technological effects on dyad decision strategy

2012

We report a study in which dyads use Instant Messaging to agree a preference among a set of three apartments. The information given to participants is partially overlapping, and contains a ''hidden profile'' (HP), such that a single apartment emerges as the best according to an unweighted sum of feature values only if dyad members pool information that is presented to only one of them. When dyads were additionally provided with a shared online spreadsheet, their decision strategy was more likely to be compensatory and relatively exhaustive, even if the distribution of importance among the cues in which the apartments vary meant that a ''fast and frugal'' heuristic such as take-the-best woul…

Human-Computer InteractionDecision support systemComputer scienceHuman–computer interactionHeuristicSet (psychology)HeuristicsSoftwareSimulationGroup decision-makingHidden profileDyadTask (project management)Interacting with Computers
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Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest

2020

Eye tracking is used to analyze and compare user behaviour within numerous domains, but long duration eye tracking experiments across multiple users generate millions of eye gaze samples, making th ...

Identification (information)InformationSystems_MODELSANDPRINCIPLESbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEye trackingComputer visionArtificial intelligencebusinessHidden Markov modelProceedings of the Annual Hawaii International Conference on System Sciences
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Isocurvature Constraints on Portal Couplings

2016

We consider portal models which are ultraweakly coupled with the Standard Model, and confront them with observational constraints on dark matter abundance and isocurvature perturbations. We assume the hidden sector to contain a real singlet scalar $s$ and a sterile neutrino $\psi$ coupled to $s$ via a pseudoscalar Yukawa term. During inflation, a primordial condensate consisting of the singlet scalar $s$ is generated, and its contribution to the isocurvature perturbations is imprinted onto the dark matter abundance. We compute the total dark matter abundance including the contributions from condensate decay and nonthermal production from the Standard Model sector. We then use the Planck lim…

Inflation (cosmology)PhysicsSterile neutrinoParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)010308 nuclear & particles physicsDark matterScalar (mathematics)High Energy Physics::PhenomenologyFOS: Physical sciencesAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesStandard ModelPseudoscalarHidden sectorHigh Energy Physics - Phenomenologysymbols.namesakeHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencessymbolsPlanck010306 general physicsAstrophysics - Cosmology and Nongalactic Astrophysics
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An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in…

2021

Previous research has proven the strong influence of emotions on student engagement and motivation. Therefore, emotion recognition is becoming very relevant in educational scenarios, but there is no standard method for predicting students’ affects. However, physiological signals have been widely used in educational contexts. Some physiological signals have shown a high accuracy in detecting emotions because they reflect spontaneous affect-related information, which is fresh and does not require additional control or interpretation. Most proposed works use measuring equipment for which applicability in real-world scenarios is limited because of its high cost and intrusiveness. To tackle this…

IntrusivenessComputer scienceEmotionsControl (management)Student engagementContext (language use)02 engineering and technologyuser-centred systemsLearner modellinglcsh:Chemical technologyNonintrusiveMachine learningcomputer.software_genre01 natural sciencesBiochemistryArticleAnalytical ChemistryTask (project management)Heart RateUser-centred systems0202 electrical engineering electronic engineering information engineeringHumanslcsh:TP1-1185Electrical and Electronic EngineeringAffective computingHidden Markov modelaffective computingInstrumentationInformáticabusiness.industry010401 analytical chemistrynonintrusiveAffective computingComputer scienceAtomic and Molecular Physics and Opticsphysiological sensors0104 chemical scienceslearner modellingPhysiological sensors020201 artificial intelligence & image processingArtificial intelligenceState (computer science)Skin TemperaturebusinesscomputerSensors
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Nonlinear Analysis of Phase-Locked Loop (PLL): Global Stability Analysis, Hidden Oscillations and Simulation Problems

2013

In the middle of last century the problem of analyzing hidden oscillations arose in automatic control. In 1956 M. Kapranov considered a two-dimensional dynamical model of phase locked-loop (PLL) and investigated its qualitative behavior. In these investigations Kapranov assumed that oscillations in PLL systems can be self-excited oscillations only. However, in 1961, N. Gubar’ revealed a gap in Kapranov’s work and showed analytically the possibility of the existence of another type of oscillations, called later by the authors hidden oscillations, in a phase-locked loop model: from a computational point of view the system considered was globally stable (all the trajectories tend to equilibria…

Loop (topology)Phase-locked loopNonlinear systembusiness.industryBounded functionPhase (waves)Artificial intelligenceHidden oscillationTopologybusinessStability (probability)BifurcationMathematics
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Finite-time Lyapunov dimension and hidden attractor of the Rabinovich system

2015

The Rabinovich system, describing the process of interaction between waves in plasma, is considered. It is shown that the Rabinovich system can exhibit a {hidden attractor} in the case of multistability as well as a classical {self-excited attractor}. The hidden attractor in this system can be localized by analytical-numerical methods based on the {continuation} and {perpetual points}. For numerical study of the attractors' dimension the concept of {finite-time Lyapunov dimension} is developed. A conjecture on the Lyapunov dimension of self-excited attractors and the notion of {exact Lyapunov dimension} are discussed. A comparative survey on the computation of the finite-time Lyapunov expon…

Lyapunov functionMathematics::Dynamical SystemsChaoticAerospace EngineeringFOS: Physical sciencesOcean EngineeringLyapunov exponent01 natural sciences010305 fluids & plasmasadaptive algorithmssymbols.namesakehidden attractorsDimension (vector space)0103 physical sciencesAttractorApplied mathematicsElectrical and Electronic Engineering010301 acousticsMultistabilityMathematicsAdaptive algorithmApplied MathematicsMechanical EngineeringNumerical analysisNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsControl and Systems EngineeringLyapunov dimensionsymbolsperpetual pointsChaotic Dynamics (nlin.CD)finite-time Lyapunov exponents
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An Automatic Sleep Scoring Toolbox : Multi-modality of Polysomnography Signals’ Processing

2019

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. To speed up the process of sleep scoring without compromising accuracy, this paper develops an automatic sleep scoring toolbox with the capability of multi-signal processing. It allows the user to choose signal types and the number of target classes. Then, an automatic process containing signal pre-processing, feature extraction, classifier training (or prediction) and result correction will be performed. Finally, the application interface displays predicted sleep structure, related sleep parameters and the sleep quality index for reference. To improve the identification accuracy of minority stages, a layer-w…

MATLABSpeedupComputer scienceFeature extraction02 engineering and technologyPolysomnographyMachine learningcomputer.software_genreuni (lepotila)polysomnography0202 electrical engineering electronic engineering information engineeringmedicineHidden Markov modelSignal processingSleep Stagesmedicine.diagnostic_testbusiness.industrysignaalianalyysi020206 networking & telecommunicationsautomatic sleep scoringToolboxmulti-modality analysis020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerClassifier (UML)MATLAB toolbox
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