Issue |
A&A
Volume 575, March 2015
|
|
---|---|---|
Article Number | L11 | |
Number of page(s) | 4 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201525714 | |
Published online | 27 February 2015 |
Predicting the CIB-φ contamination in the cross-correlation of the tSZ effect and φ
Institut d’Astrophysique Spatiale, CNRS (UMR 8617) and Université Paris-Sud
11,
Bâtiment 121,
91405
Orsay,
France
e-mail:
ghurier@ias.u-psud.fr
Received: 21 January 2015
Accepted: 6 February 2015
The recent release of Planck data gives access to a full sky coverage of the thermal Sunyaev-Zel’dovich (tSZ) effect and of the cosmic microwave background (CMB) lensing potential (φ). The cross-correlation of these two probes of the large-scale structures in the Universe is a powerful tool for testing cosmological models, especially in the context of the difference between galaxy clusters and CMB for the best-fitting cosmological parameters. However, the tSZ effect maps are highly contaminated by cosmic infra-red background (CIB) fluctuations. Unlike other astrophysical components, the spatial distribution of CIB varies with frequency. Thus it cannot be completely removed from a tSZ Compton parameter map, which is constructed from a linear combination of multiple frequency maps. We have estimated the contamination of the CIB-φ correlation in the tSZ-φ power-spectrum. We considered linear combinations that reconstruct the tSZ Compton parameter from Planck frequency maps. We conclude that even in an optimistic case, the CIB-φ contamination is significant with respect to the tSZ-φ signal itself. Consequently, we stress that tSZ-φ analyses that are based on Compton parameter maps are highly limited by the bias produced by CIB-φ contamination.
Key words: galaxies: clusters: general / cosmological parameters / large-scale structure of Universe / cosmic background radiation / galaxies: clusters: intracluster medium / infrared: diffuse background
© ESO, 2015
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.