A new method to search for high redshift clusters using photometric redshifts

TL;DR

The paper introduces the Poisson Probability Method (PPM), a new technique utilizing photometric redshifts and galaxy counts to efficiently identify high-redshift galaxy clusters in wide-field surveys.

Contribution

It presents the PPM, a novel method tailored for high-redshift cluster detection that leverages Poisson statistics and is validated through simulations and real data tests.

Findings

PPM detects clusters up to z=1.5 in simulations.

The method estimates cluster redshift with ~0.05 accuracy.

PPM is suitable for current and future wide-field surveys.

Abstract

We describe a new method (Poisson Probability Method, PPM) to search for high redshift galaxy clusters and groups by using photometric redshift information and galaxy number counts. The method relies on Poisson statistics and is primarily introduced to search for Mpc-scale environments around a specific beacon. The PPM is tailored to both the properties of the FR I radio galaxies in the Chiaberge et al. (2009) sample, that are selected within the COSMOS survey, and on the specific dataset used. We test the efficiency of our method of searching for cluster candidates against simulations. Two different approaches are adopted. i) We use two z~1 X-ray detected cluster candidates found in the COSMOS survey and we shift them to higher redshift up to z=2. We find that the PPM detects the cluster candidates up to z=1.5, and it correctly estimates both the redshift and size of the two clusters. ii) We simulate spherically symmetric clusters of different size and richness, and we locate them at different redshifts (i.e. z = 1.0,1.5, and 2.0) in the COSMOS field. We find that the PPM detects the simulated clusters within the considered redshift range with a statistical 1-sigma redshift accuracy of ~0.05. The PPM is an efficient alternative method for high-redshift cluster searches that may also be applied to both present and future wide field surveys such as SDSS Stripe 82, LSST, and Euclid. Accurate photometric redshifts and a survey depth similar or better than that of COSMOS (e.g. I<25) are required.