Volume 373, Number 2, July II 2001
|Page(s)||L13 - L16|
|Published online||15 July 2001|
Error estimation for the MAP experiment
Canadian Institute for Theoretical Astrophysics, McLennan Labs, 60 St George Street, Toronto ON M5S 3H8, Canada
2 CEA/DSM/DAPNIA Service d'Astrophysique, Centre d'Études de Saclay, Bât. 709, 91191 Gif-sur-Yvette Cedex, France
3 Department of Physics and Astronomy, Valparaiso University, Valparaiso, IN 46383, USA
4 Institut d'Astrophysique de Paris, CNRS, 94 Bld. Arago, 75014 Paris, France
5 Institut d'Astrophysique Spatiale, CNRS-Université Paris-Sud, Bât. 121, 91405 Orsay, France
Corresponding author: S. Prunet, firstname.lastname@example.org
Accepted: 7 May 2001
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 on the fraction of the sky defined by . We find that the reconstruction errors are reasonably well fitted by a Gaussian with an rms of 24 μK, 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 & Gispert ([CITE]), which entailed a number of assumptions this work removes.
Key words: methods: data analysis / cosmic microwave background
© ESO, 2001
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.