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Likelihood filter for cluster detection
P. Schuecker and
Received 5 June 1998 / Accepted 31 August 1998
The likelihood filter for cluster detection introduced by Postman et al. is generalized by using standard procedures and models originally developed in the theory of point processes. It is shown that the filter formulae of Postman et al. can be recovered in cases where background fields dominate the number counts. The performance of the generalized method is illustrated by using Monte Carlo simulations and by analyzing galaxy distributions extracted from the COSMOS galaxy catalogue. The generalized method has the advantage of being less biased at the expense of some higher computational effort.
Key words: methods: data analysis galaxies: clusters: general X-rays: galaxies cosmology: observations
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Online publication: October 21, 1998