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Optical Confirmation and Redshift Estimation of the Planck Cluster Candidates overlapping the Pan-STARRS Survey

Authors :
Christopher W. Stubbs
Paul A. Price
Jiayi Liu
Ben Hoyle
Nigel Metcalfe
Shantanu Desai
Johannes Koppenhoefer
C. Hennig
Christopher Waters
John Morgan
W. S. Burgett
Shaun Cole
Joseph J. Mohr
Nick Kaiser
Peter W. Draper
Richard J. Wainscoat
K. C. Chambers
John L. Tonry
K. Paech
Source :
Monthly notices of the Royal Astronomical Society, 2015, Vol.449(4), pp.3370-3380 [Peer Reviewed Journal]
Publication Year :
2014

Abstract

We report results of a study of Planck Sunyaev-Zel'dovich effect (SZE) selected galaxy cluster candidates using the Panoramic Survey Telescope & Rapid Response System (Pan-STARRS) imaging data. We first examine 150 Planck confirmed galaxy clusters with spectroscopic redshifts to test our algorithm for identifying optical counterparts and measuring their redshifts; our redshifts have a typical accuracy of $��_{z/(1+z)} \sim 0.022$ for this sample. Using 60 random sky locations, we estimate that our chance of contamination through a random superposition is ~ 3 per cent. We then examine an additional 237 Planck galaxy cluster candidates that have no redshift in the source catalogue. Of these 237 unconfirmed cluster candidates we are able to confirm 60 galaxy clusters and measure their redshifts. A further 83 candidates are so heavily contaminated by stars due to their location near the Galactic plane that we do not attempt to identify counterparts. For the remaining 94 candidates we find no optical counterpart but use the depth of the Pan-STARRS1 data to estimate a redshift lower limit $z_{\text{lim}(10^{15})}$ beyond which we would not have expected to detect enough galaxies for confirmation. Scaling from the already published Planck sample, we expect that $\sim$12 of these unconfirmed candidates may be real clusters.<br />11 pages, 9 figures

Details

Language :
English
Database :
OpenAIRE
Journal :
Monthly notices of the Royal Astronomical Society, 2015, Vol.449(4), pp.3370-3380 [Peer Reviewed Journal]
Accession number :
edsair.doi.dedup.....d3b1dc9c75e89a3669f9299033d79342