Error estimation for the MAP experiment

Abstract

We report here the first full sky component separation and CMB power spectrum estimation using a Wiener filtering technique on simulated data from the upcoming MAP experiment, set to launch in early 2001. The simulations included contributions from the three dominant astrophysical components expected in the five MAP spectral bands, namely CMB radiation, Galactic dust, and synchrotron emission. We assumed a simple homogeneous and isotropic white noise model and performed our analysis up to a spherical harmonic multipole lmax=512 on the fraction of the sky defined by b>20 degrees. We find that the reconstruction errors are reasonably well fitted by a Gaussian with an rms of 24 $\mu$K, but with significant deviations in the tails. Our results further support the predictions on the resulting CMB power spectrum of a previous estimate by Bouchet and Gispert (1999), which entailed a number of assumptions this work removes.

5 pages, 3 color figures, version accepted in A&A Letters

Cited by in corpus (7)

• All-sky astrophysical component separation with Fast Independent Component Analysis (FastICA)
• All-sky component separation for the Planck mission
• Astrophysical components separation of COBE-DMR 4yr data with FastICA
• Harmonic analysis of cosmic microwave background data I: ring reductions and point-source catalogue
• Harmonic analysis of cosmic microwave background data II: from ring-sets to the sky
• Angular power spectrum of the FastICA CMB component from BEAST data
• Multi-component power spectra estimation method for multi-detector observations of the Cosmic Microwave Background