Volume 467, Number 2, May IV 2007
|Page(s)||411 - 419|
|Section||Cosmology (including clusters of galaxies)|
|Published online||27 February 2007|
A linear-filter approach to extracting the Rees-Sciama effect in merging clusters of galaxies
Dipartimento di Astronomia, Università di Padova, Vicolo dell'Osservatorio 2, 35120 Padova, Italy e-mail: firstname.lastname@example.org
2 ITA, Universität Heidelberg, Albert-Überle-Str. 2, 69120 Heidelberg, Germany
3 Dipartimento di Astronomia, Università di Bologna, via Ranzani 1, 40127 Bologna, Italy
4 Max-Planck-Institut für Astrophysik, PO Box 1523, 85740 Garching, Germany
5 Dept. of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Str. Philadelphia, PA 19104-6396, USA
6 Instituto de Astrofísica de Canarias, C/Vía Láctea s/n, 38200 Tenerife, Spain
Accepted: 8 January 2007
We discuss the prospects for detecting the Rees-Sciama (RS) effect associated with merging clusters of galaxies in millimetric observations. Using the extended Press-Schechter formalism, we characterize the distribution of the parameters describing the mergers, and use these results to generate a mock catalogue of cluster mergers. We use realistic N-body simulations to confirm the reliability of the mock catalogue, and build a new filter that attempts to optimize the extraction of the RS signal. This is an extension of the spatial-filtering method described in Haehnelt & Tegmark (1996, MNRAS, 279, 545), that has a general definition and hence can be applied in other contexts, such as gravitational lensing of the CMB or lensing of background galaxies. When applied to our mock cluster merger catalogue, we show that with the announced sensitivities of future experiments like the Atacama Cosmology Telescope (ACT), the South Pole Telescope (SPT), or the Atacama Large Millimeter Array (ALMA), a detection of the signal will be possible if we consider roughly 1000 cluster mergers.
Key words: cosmology: theory / galaxies: clusters: general / cosmic microwave background
© ESO, 2007
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.