Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cluster detection in weak lensing surveys   We present an efficient and robust approach for extracting clusters of
galaxies from weak lensing survey data and measuring their properties. We use
simple, physically-motivated cluster models appropriate for such sparse, noisy
data, and incorporate our knowledge of the cluster mass function to optimise
the detection of low-mass objects. Despite the method's non-linear nature, we
are able to search at a rate of approximately half a square degree per hour on
a single processor, making this technique a viable candidate for future
wide-field surveys. We quantify, for two simulated data-sets, the accuracy of
recovered cluster parameters, and discuss the completeness and purity of our
shear-selected cluster catalogues.

37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ