Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Bayesian non-parametric method to detect clusters in Planck data   We show how one may expect a significant number of SZ detections in future
Planck data without any of the typical assumptions needed in present component
separation methods, such as about 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 CMB. The final SZE 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 about 70 mJy (353 GHz). We predict a
large number of detections (about 9000) in 4/5 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.

19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
1
The categories of this paper are: cs
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th