Add to ORKGWe explore power spectrum estimation in the context of a Gaussian approximation to the likelihood function. Using the Saskatoon data, we estimate the power averaged through a set of ten filters designed to make the errors on the power estimates uncorrelated. We also present an improvement to using the window function, $W_l$, for calculating bandpower estimates
A new method for estimating the power spectrum C_l from cosmic microwave background (CMB) maps was r...
I describe a method to estimate response matrices of Cosmic Microwave Background (CMB) lensing power...
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CM...
Band-power estimates of cosmic microwave background fluctuations are now routinely used to place con...
We discuss the problem of constraining cosmological parameters with cosmic microwave background band...
The Fourier transform of a data set apodized with a window function is known as the Gabor transform....
Powerful constraints on theories can already be inferred from existing CMB anisotropy data. But perf...
It is widely believed that maximum likelihood estimators must be used to provide optimal estimates o...
We describe how to compute estimates of the power spectrum C_l from Cosmic Microwave Background (CMB...
We describe a class of observational strategies for probing the anisotropies in the cosmic microwave...
A maximum-likelihood method is presented for estimating the power spectrum of anisotropies in the co...
10 pages, 2 figures, to appear in C.R. PhysiqueCMB data analysis is in general done through two main...
We describe and implement an exact, flexible, and computationally efficient algorithm for joint comp...
The Cosmic Microwave Background Radiation (CMBR) holds information about almost all the fundamental ...
Context. Aims. The cosmic microwave background (CMB) power spectrum is a powerful cosmological probe...
A new method for estimating the power spectrum C_l from cosmic microwave background (CMB) maps was r...
I describe a method to estimate response matrices of Cosmic Microwave Background (CMB) lensing power...
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CM...
Band-power estimates of cosmic microwave background fluctuations are now routinely used to place con...
We discuss the problem of constraining cosmological parameters with cosmic microwave background band...
The Fourier transform of a data set apodized with a window function is known as the Gabor transform....
Powerful constraints on theories can already be inferred from existing CMB anisotropy data. But perf...
It is widely believed that maximum likelihood estimators must be used to provide optimal estimates o...
We describe how to compute estimates of the power spectrum C_l from Cosmic Microwave Background (CMB...
We describe a class of observational strategies for probing the anisotropies in the cosmic microwave...
A maximum-likelihood method is presented for estimating the power spectrum of anisotropies in the co...
10 pages, 2 figures, to appear in C.R. PhysiqueCMB data analysis is in general done through two main...
We describe and implement an exact, flexible, and computationally efficient algorithm for joint comp...
The Cosmic Microwave Background Radiation (CMBR) holds information about almost all the fundamental ...
Context. Aims. The cosmic microwave background (CMB) power spectrum is a powerful cosmological probe...
A new method for estimating the power spectrum C_l from cosmic microwave background (CMB) maps was r...
I describe a method to estimate response matrices of Cosmic Microwave Background (CMB) lensing power...
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CM...