A flexible maximum-entropy component separation algorithm is presented that accommodates anisotropic noise, incomplete sky-coverage and uncertainties in the spectral parameters of foregrounds. The capabilities of the method are determined by first applying it to simulated spherical microwave data sets emulating the COBE-DMR, COBE-DIRBE and Haslam surveys. The method is then applied to these real data sets to obtain reconstructions of the CMB component and galactic foreground emission over the whole sky
We discuss the problem of CMB spectrum corruption during Galactic emission removing. A new technique...
The Cosmological Microwave Background (CMB) is of premier importance for the cosmologists to study t...
International audienceThe cosmic microwave background (CMB) is of premier importance for cosmologist...
We present a maximum-entropy method (MEM) and `Mexican Hat' wavelet (MHW) joint analysis to recover ...
The work described in this Thesis is related to the PLANCK mission, scheduled for launch in 2008, wh...
We discuss an approach to the component separation of microwave, multifrequency sky maps as those ty...
We propose a method for CMB component separation based on standard Bayesian parameter estimation tec...
Simulated observations of a $10\dg \times 10\dg$ field by the Microwave Anisotropy Probe (MAP) are a...
A version with high resolution figures is available at http://people.sissa.it/~leach/compsepcomp.pdf...
We present a blind multi-detector multi-component spectral matching method for all sky observations ...
In this paper, we present a novel implementation of Bayesian cosmic microwave background (CMB) compo...
We describe and implement an exact, flexible, and computationally efficient algorithm for joint comp...
We discuss the problem of CMB spectrum corruption during Galactic emission removing. A new technique...
The Cosmological Microwave Background (CMB) is of premier importance for the cosmologists to study t...
International audienceThe cosmic microwave background (CMB) is of premier importance for cosmologist...
We present a maximum-entropy method (MEM) and `Mexican Hat' wavelet (MHW) joint analysis to recover ...
The work described in this Thesis is related to the PLANCK mission, scheduled for launch in 2008, wh...
We discuss an approach to the component separation of microwave, multifrequency sky maps as those ty...
We propose a method for CMB component separation based on standard Bayesian parameter estimation tec...
Simulated observations of a $10\dg \times 10\dg$ field by the Microwave Anisotropy Probe (MAP) are a...
A version with high resolution figures is available at http://people.sissa.it/~leach/compsepcomp.pdf...
We present a blind multi-detector multi-component spectral matching method for all sky observations ...
In this paper, we present a novel implementation of Bayesian cosmic microwave background (CMB) compo...
We describe and implement an exact, flexible, and computationally efficient algorithm for joint comp...
We discuss the problem of CMB spectrum corruption during Galactic emission removing. A new technique...
The Cosmological Microwave Background (CMB) is of premier importance for the cosmologists to study t...
International audienceThe cosmic microwave background (CMB) is of premier importance for cosmologist...