Issue |
A&A
Volume 591, July 2016
|
|
---|---|---|
Article Number | A39 | |
Number of page(s) | 30 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/201628366 | |
Published online | 08 June 2016 |
Joint signal extraction from galaxy clusters in X-ray and SZ surveys: A matched-filter approach
1
Laboratoire AIM, IRFU/Service d’Astrophysique – CEA/DRF – CNRS – Université
Paris Diderot, Bât. 709, CEA-Saclay,
91191
Gif-sur-Yvette Cedex,
France
e-mail:
paula.tarrio-alonso@cea.fr
2
DRF/IRFU/SPP, CEA-Saclay, 91191
Gif-sur-Yvette Cedex,
France
Received: 22 February 2016
Accepted: 13 April 2016
The hot ionized gas of the intra-cluster medium emits thermal radiation in the X-ray band and also distorts the cosmic microwave radiation through the Sunyaev-Zel’dovich (SZ) effect. Combining these two complementary sources of information through innovative techniques can therefore potentially improve the cluster detection rate when compared to using only one of the probes. Our aim is to build such a joint X-ray-SZ analysis tool, which will allow us to detect fainter or more distant clusters while maintaining high catalogue purity. We present a method based on matched multifrequency filters (MMF) for extracting cluster catalogues from SZ and X-ray surveys. We first designed an X-ray matched-filter method, analogous to the classical MMF developed for SZ observations. Then, we built our joint X-ray-SZ algorithm by combining our X-ray matched filter with the classical SZ-MMF, for which we used the physical relation between SZ and X-ray observations. We show that the proposed X-ray matched filter provides correct photometry results, and that the joint matched filter also provides correct photometry when the FX/Y500 relation of the clusters is known. Moreover, the proposed joint algorithm provides a better signal-to-noise ratio than single-map extractions, which improves the detection rate even if we do not exactly know the FX/Y500 relation. The proposed methods were tested using data from the ROSAT all-sky survey and from the Planck survey.
Key words: methods: data analysis / techniques: image processing / galaxies: clusters: general / large-scale structure of Universe / X-rays: galaxies: clusters
© ESO, 2016
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