Gaussianity of temperature fluctuations in the Cosmic Microwave Background (CMB) implies that the statistical properties of the temperature field can be completely characterized by its two-point correlation function. The two-point correlation function can be expanded in full generality in the Bipolar Spherical Harmonic (BipoSH) basis. Looking for significant deviations from zero for BipoSH coefficients derived from observed CMB maps forms the basis of the strategy used to detect isotropy violation. In order to quantify “significant deviation” we need to understand the distributions of these coefficients. We analytically evaluate the moments and the distribution of the coefficients of expansion (ALMl1l2), using the characteristic function ap...
The statistical expectation values of the temperature fluctuations and polarization of cosmic microw...
We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropi...
We present a general method for Bayesian inference of the underlying covariance structure of random ...
The exquisitely measured maps of fluctuations in the cosmic microwave background (CMB) present the p...
The statistical expectation values of the temperature fluctuations and polarization of cosmic microw...
The statistical expectation values of the temperature fluctuations of the Cosmic Microwave Backgroun...
The statistical expectation values of the temperature fluctuations of the cosmic microwave backgroun...
The statistical expectation values of the temperature fluctuations of the cosmic microwave backgroun...
In the frame of a moving observer, the cosmic microwave background (CMB) fluctuation exhibits violat...
The two-point correlation function of the cosmic microwave background temperature anisotropies is ge...
Deviations from statistical isotropy can be modeled in various ways, for instance, anisotropic cosmo...
Statistical isotropy (SI) of cosmic microwave background (CMB) fluctuations is a key observational t...
Statistical isotropy (SI) of cosmic microwave background (CMB) fluctuations is a key observational t...
We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropi...
International audienceWe present a general method for Bayesian inference of the underlying covarianc...
The statistical expectation values of the temperature fluctuations and polarization of cosmic microw...
We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropi...
We present a general method for Bayesian inference of the underlying covariance structure of random ...
The exquisitely measured maps of fluctuations in the cosmic microwave background (CMB) present the p...
The statistical expectation values of the temperature fluctuations and polarization of cosmic microw...
The statistical expectation values of the temperature fluctuations of the Cosmic Microwave Backgroun...
The statistical expectation values of the temperature fluctuations of the cosmic microwave backgroun...
The statistical expectation values of the temperature fluctuations of the cosmic microwave backgroun...
In the frame of a moving observer, the cosmic microwave background (CMB) fluctuation exhibits violat...
The two-point correlation function of the cosmic microwave background temperature anisotropies is ge...
Deviations from statistical isotropy can be modeled in various ways, for instance, anisotropic cosmo...
Statistical isotropy (SI) of cosmic microwave background (CMB) fluctuations is a key observational t...
Statistical isotropy (SI) of cosmic microwave background (CMB) fluctuations is a key observational t...
We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropi...
International audienceWe present a general method for Bayesian inference of the underlying covarianc...
The statistical expectation values of the temperature fluctuations and polarization of cosmic microw...
We test the statistical isotropy and Gaussianity of the cosmic microwave background (CMB) anisotropi...
We present a general method for Bayesian inference of the underlying covariance structure of random ...