A method for extracting maximum resolution power spectra from microwave sky maps
arXiv:astro-ph/9412064 · doi:10.1093/mnras/280.1.299
Abstract
A method for extracting maximal resolution power spectra from microwave sky maps is presented and applied to the 2 year COBE data, yielding a power spectrum that is consistent with a standard n=1, Q=20 micro-Kelvin model. By using weight functions that fall off smoothly near the galactic cut, it is found that the spectral resolution Δl can be more than doubled at l=15 and more than tripled at l=20 compared to simply using galaxy-cut spherical harmonics. For a future high-resolution experiment with reasonable sky coverage, the resolution around the CDM Doppler peaks would be enhanced by a factor of about 100, down to Δl\approx 1, thus allowing spectral features such as the locations of the peaks to be determined with great accuracy. The reason that the improvement is so large is basically that functions with a sharp edge at the galaxy cut exhibit considerable "ringing" in the Fourier domain, whereas smooth functions do not. The method presented here is applicable to any survey geometry, chopping strategy and exposure pattern whatsoever. The so called signal-to-noise eigenfunction technique is found to be a special case, corresponding to ignoring the width of the window functions.
25 pages, including 4 figures. Postscript. Substantially revised, more than twice original length, matches accepted version. Latest version available from http://www.sns.ias.edu/~max/window.html (faster from the US), from http://www.mpa-garching.mpg.de/~max/window.html (faster from Europe) or from [email protected]
Cited by in corpus (27)
- Planck 2018 results. V. CMB power spectra and likelihoods
- Karhunen-Loeve eigenvalue problems in cosmology: how should we tackle large data sets?
- MASTER of the CMB Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets
- Estimating the Power Spectrum of the Cosmic Microwave Background
- Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth
- How to measure CMB power spectra without losing information
- Spatiospectral concentration on a sphere
- Myths and Truths Concerning Estimation of Power Spectra
- How to measure CMB polarization power spectra without losing information
- CMB mapping experiments: a designer's guide
- Spherical Slepian functions and the polar gap in geodesy
- On using angular cross-correlations to determine source redshift distributions
- Spectral estimation on a sphere in geophysics and cosmology
- Reionization optical depth determination from Planck HFI data with ten percent accuracy
- Spatiospectral concentration in the Cartesian plane
- The angular power spectrum of the 4 year COBE data
- An Instrument For Investigation of the Cosmic Microwave Background Radiation at Intermediate Angular Scales
- Estimating the spectral indices of correlated astrophysical foregrounds by a second-order statistical approach
- Cosmic Microwave Background Anisotropy Observing Strategy Assessment
- CMB Power Spectrum Estimation via Hierarchical Decomposition
- A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps
- A spatiospectral localization approach to estimating potential fields on the surface of a sphere from noisy, incomplete data taken at satellite altitudes
- Data analysis methods for the cosmic microwave background
- The harmonic power spectrum of the soft X-ray background I. The data analysis
- Calculation of Cosmic Background Radiation Anisotropies and Implications
- Ideal scales for weighing the Universe
- Accurate and efficient likelihood modeling for large-scale CMB data