Planck 2015 results XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources
Metadata
Show full item recordEditorial
EDP Sciences
Materia
Cosmology: observations Galaxies: clusters: general Catalogs
Date
2016-10Referencia bibliográfica
Ade, P. A. R., Aghanim, N., Arnaud, M., Ashdown, M., Aumont, J., ... & Bartlett, J. G. (2016). Planck 2015 results. XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources. Astronomy & Astrophysics, 594, A27 [https://doi.org/10.1051/0004-6361/201525823]
Sponsorship
European Space Agency; Centre National D'etudes Spatiales; CNRS/INSU-IN2P3-INP (France); Italian Space Agency (ASI); Italian National Research Council; Istituto Nazionale Astrofisica (INAF); National Aeronautics & Space Administration (NASA); Max Planck Society; CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland); RCN (Norway); Science Foundation Ireland; Portuguese Foundation for Science and Technology; ERC (EU); European Union (EU); Higher Education Funding Council for England; Alfred P. Sloan Foundation; National Science Foundation (NSF); United States Department of Energy (DOE); Science & Technology Facilities Council (STFC) ST/F01239X/1 ST/L000393/1 ST/K001051/1 ST/K004131/1 ST/L000768/1 ST/N001206/1 ST/M001172/1 ST/H001239/1Abstract
We present the all-sky Planck catalogue of Sunyaev-Zeldovich (SZ) sources detected from the 29 month full-mission data. The catalogue (PSZ2) is the largest SZ-selected sample of galaxy clusters yet produced and the deepest systematic all-sky surveyof galaxy clusters. It contains 1653 detections, of which 1203 are confirmed clusters with identified counterparts in external data sets, and is the first SZ-selected cluster survey containing >103 confirmed clusters. We present a detailed analysis of the survey selection function in terms of its completeness and statistical reliability, placing a lower limit of 83% on the purity. Using simulations, we find that the estimates of the SZ strength parameter Y5R500are robust to pressure-profile variation and beam systematics, but accurate conversion to Y500 requires the use of prior information on the cluster extent. We describe the multi-wavelength search for counterparts in ancillary data, which makes use of radio, microwave, infra-red, optical, and X-ray data sets, and which places emphasis on the robustness of the counterpart match. We discuss the physical properties of the new sample and identify a population of low-redshift X-ray under-luminous clusters revealed by SZ selection. These objects appear in optical and SZ surveys with consistent properties for their mass, but are almost absent from ROSAT X-ray selected samples.