vix.ing · top · new · best · stats · spec

A Bayesian non-parametric method to detect clusters in Planck data

2001/10/31 by J. M. Diego, P. Vielva, E. Martínez-González +4 · 2 citations
Physics and Astronomy · #Astronomy #Astrophysics #Astrophysics and Star Formation Studies #Cosmic background radiation #Cosmic microwave background #Cosmology #Cosmology and Gravitation Theories #Flux (metallurgy) #Galaxies: Formation, Evolution, Phenomena #Galaxy #Physics #Planck #Population #Redshift #Sky #Spectral density #Statistics #astro-ph

paper · pdf · doi:10.1046/j.1365-8711.2002.05874.x

published as Mon.Not.Roy.Astron.Soc. 336 (2002) 1351 · MNRAS accepted. Major changes made to match accepted version. Colour figures attached as GIF files. 15 pages and 12 figures. High resolution colour pictures can be obtained on request from the authors ([email protected])

arxiv created 2002/07/19 · openalex publication_date 2002/11/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

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.

Cited by