Database content

The master table contains 5108 entries, built from:

  • MCXC (Meta Catalogue of X-ray detected Clusters of galaxies, Piffaretti et al. 2011, updated by Sadibekova et al., in prep.), a meta-catalogue of clusters detected in the Einstein and ROSAT surveys;
  • MCSZ: a new meta-catalogue of clusters and cluster candidates detected via the SZ effect in the Planck, ACT and SPT surveys;
  • COMPRASS: a new catalogue of joint X-ray/SZ detections of clusters and cluster candidates in the RASS and Planck surveys (Tarrio et al. 2019). 

Access to the original catalogues is also provided. For the MCSZ, information from validation campaigns published after the Planck SZ catalogue releases, is homegenised and included.
The aim of a meta-catalogue is to collect the disparate information contained in the various catalogues published by the community over many years. Careful cross-identification allows consolidation of cluster positions and removal of duplicate entries. A redshift hierarchy privileges the most accurate measurements. Most importantly, the mass proxy information is regularised to the same cosmology (ΩM = 0.3, ΩΛ = 0.7, and h0 = 0.7), and integration radius (R500). 
For each cluster we also provide:

  • Images extracted from RASS, Planck, joint RASS/Planck, WISE, and when available Pan-STARRS, XMM, Chandra and SWIFT.
  • Information on data avaliable in X-ray observatory archives.
  • Link to external databases (SIMBAD, NED, HEASARC, WISE and PanSTARRS)

The database also contains the MTAC (Master Table of X-ray Analysed Clusters). For this subset, we provide detailed X-ray properties based on pointed XMM-Newton observations. These properties include integrated quantities (temperature , gas mass, HE mass etc..), radial profiles of density, temperature, pressure, entropy, inegrated mass from the HE equation, and images.


  • Basic and advanced search based on any quantity in the database (metacatalogues or original catalogues)
  • Construct cluster samples based on individual X-ray and/or SZ survey criteria, physical properties (e.g redhsift, mass..), and/or the availability of pointed X-ray observations.
  • Visualize and retrieve all available information on a given cluster in various formats.
  • Retrieve tables of homogenised and/or original quantities and images in different wavelengths for a given query (individual objects, samples, etc..).
  • For a subset of objects, retrieve X-ray properties based on pointed XMM-Newton observations.

More information can be found in the User Guide.