Open AccessA Bayesian non‐parametric method to detect clusters in Planck data
Author(s) -
Diego J. M.,
Vielva P.,
MartínezGonzález E.,
Silk J.,
Sanz J. L.
Publication year - 2002
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1046/j.1365-8711.2002.05874.x
Subject(s) - physics , cosmic microwave background , planck , astrophysics , redshift , flux (metallurgy) , spectral density , cosmic background radiation , sky , cosmology , population , astronomy , galaxy , statistics , materials science , mathematics , demography , quantum mechanics , anisotropy , sociology , metallurgy
We show how one may expect a significant number of Sunyaev–Zel'dovich (SZ) detections in future Planck data without any of the typical assumptions needed in present component separation methods, such as concerning the power spectrum or the frequency dependence of any of the components, circular symmetry or a typical scale for the clusters. We reduce the background by subtracting an estimate of the point sources, dust and cosmic microwave background (CMB). The final SZ effect map is estimated in Fourier space. The catalogue of returned clusters is complete above flux ≈200 mJy (353 GHz) , while the lowest flux reached by our method is ≈70 mJy (353 GHz) . We predict a large number of detections (∼9000) over four‐fifths of the sky. This large number of SZ detections will allow a robust and consistent analysis of the evolution of the cluster population with redshift and will have important implications for determining the best cosmological model.