The Planck SZ Cluster Catalog: Expected X-ray Properties

TL;DR

This paper models the expected X-ray properties of galaxy clusters detected by the Planck SZ survey, predicting a significant increase in high-redshift, massive cluster detections and their suitability for follow-up studies.

Contribution

It introduces an empirical model linking SZ and X-ray data to predict X-ray properties of Planck clusters, enhancing understanding of their detectability and scientific potential.

Findings

Planck will extend the depth of all-sky cluster surveys beyond ROSAT.

It will effectively find hot, massive clusters up to redshift one.

Many new clusters will be suitable for detailed X-ray follow-up.

Abstract

Surveys based on the Sunyaev-Zel'dovich (SZ) effect provide a fresh view of the galaxy cluster population, one that is complementary to X-ray surveys. To better understand the relation between these two kinds of survey, we construct an empirical cluster model using scaling relations constrained by current X-ray and SZ data. We apply our model to predict the X-ray properties of the Planck SZ Cluster Catalog (PCC) and compare them to existing X-ray cluster catalogs. We find that Planck should significantly extend the depth of the previous all-sky cluster survey, performed in the early 1990s by the ROSAT satellite, and should be particularly effective at finding hot, massive clusters (T > 6 keV) out to redshift unity. These are rare objects, and our findings suggest that Planck could increase the observational sample at z > 0.6 by an order of magnitude. This would open the way for detailed studies of massive clusters out to these higher redshifts. Specifically, we find that the majority of newly-detected Planck clusters should have X-ray fluxes 10^{-13} ergs/s/cm^2 < f_X[0.5-2 keV] < 10^{-12} ergs/s/cm^2, i.e., distributed over the decade in flux just below the ROSAT All Sky Survey limit. This is sufficiently bright for extensive X-ray follow-up campaigns. Once Planck finds these objects, XMM-Newton and \textit{Chandra} could measure temperatures to 10% for a sample of ~ 100 clusters in the range 0.5 < z < 1, a valuable increase in the number of massive clusters studied over this range.