Search results for "Non-Gaussianity"

showing 3 items of 3 documents

Prospects for constraining the shape of non-Gaussianity with the scale-dependent bias

2012

We consider whether the non-Gaussian scale-dependent halo bias can be used not only to constrain the local form of non-Gaussianity but also to distinguish among different shapes. In particular, we ask whether it can constrain the behavior of the primordial three-point function in the squeezed limit where one of the momenta is much smaller than the other two. This is potentially interesting since the observation of a three-point function with a squeezed limit that does not go like the local nor equilateral templates would be a signal of non-trivial dynamics during inflation. To this end we use the quasi-single field inflation model of Chen and Wang as a representative two-parameter model, wh…

Inflation (cosmology)PhysicsAstrofísicaCosmology and Nongalactic Astrophysics (astro-ph.CO)Cosmologia010308 nuclear & particles physicsFísicaFOS: Physical sciencesAstronomy and AstrophysicsFunction (mathematics)Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesCosmologyNon-Gaussianity0103 physical sciencesHalo effectDark energyRange (statistics)Limit (mathematics)Statistical physics010303 astronomy & astrophysicsBispectrumAstrophysics - Cosmology and Nongalactic Astrophysics
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Sachs-Wolfe at second order: the CMB bispectrum on large angular scales

2009

We calculate the Cosmic Microwave Background anisotropy bispectrum on large angular scales in the absence of primordial non-Gaussianities, assuming exact matter dominance and extending at second order the classic Sachs-Wolfe result delta T/T = Phi/3. The calculation is done in Poisson gauge. Besides intrinsic contributions calculated at last scattering, one must consider integrated effects. These are associated to lensing, and to the time dependence of the potentials (Rees-Sciama) and of the vector and tensor components of the metric generated at second order. The bispectrum is explicitly computed in the flat-sky approximation. It scales as l(-4) in the scale invariant limit and the shape d…

PhysicsNew horizonsCosmology and Nongalactic Astrophysics (astro-ph.CO)Cosmic microwave backgroundFOS: Physical sciencesAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsCMBR theoryCosmologyMarie curiesymbols.namesakecosmological perturbation theoryGalileo (satellite navigation)symbolsnon-gaussianityBispectrumHumanitiesOrder (virtue)Astrophysics - Cosmology and Nongalactic Astrophysics
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Source separation on hyperspectral cube applied to dermatology

2010

International audience; This paper proposes a method of quantification of the components underlying the human skin that are supposed to be responsible for the effective reflectance spectrum of the skin over the visible wavelength. The method is based on independent component analysis assuming that the epidermal melanin and the dermal haemoglobin absorbance spectra are independent of each other. The method extracts the source spectra that correspond to the ideal absorbance spectra of melanin and haemoglobin. The noisy melanin spectrum is fixed using a polynomial fit and the quantifications associated with it are reestimated. The results produce feasible quantifications of each source compone…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMaterials science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingHuman skin[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology01 natural sciences010309 opticsAbsorbanceOptics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringSource separationSource separation[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPolynomial regressionIndependent Component Analysis.Spectral reflectanceKurtosisintegumentary systembusiness.industryNon-GaussianityHyperspectral imagingIndependent component analysisIndependent Component Analysis3. Good healthSkin patch020201 artificial intelligence & image processingbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingVisible spectrum
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