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Finding clusters in SZ surveys

2005/01/07 by Chris Vale, Martin White · 1 citation
Computer Science · Medicine · Physics and Astronomy · #Bayesian Methods and Mixture Models #Data-Driven Disease Surveillance #astro-ph

paper · pdf · doi:10.1016/j.newast.2005.07.005

published as New Astron.11:207-217,2006 · 15 pages, submitted to New Astronomny

arxiv created 2005/01/07 · openalex publication_date 2005/08/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We use simulated maps to investigate the ability of high resolution, low noise surveys of the CMB to create catalogues of Clusters of galaxies by detecting the characteristic signature imprinted by the Sunyaev Zeldovich effect. We compute the completeness of the catalogues in our simulations for several survey strategies, and evaluate the relative merit of some Fourier and wavelet based filtering techniques.

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