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DOE OSTI · 1908261

S-PLUS DR1 galaxy clusters and groups catalogue using PzWav

Abstract

ABSTRACT We present a catalogue of 4499 groups and clusters of galaxies from the first data release of the multi-filter (5 broad, 7 narrow) Southern Photometric Local Universe Survey (S-PLUS). These groups and clusters are distributed over 273 deg2 in the Stripe 82 region. They are found using the PzWav algorithm, which identifies peaks in galaxy density maps that have been smoothed by a cluster scale difference-of-Gaussians kernel to isolate clusters and groups. Using a simulation-based mock catalogue, we estimate the purity and completeness of cluster detections: at S/N > 3.3, we define a catalogue that is 80 per cent pure and complete in the redshift range 0.1 < z < 0.4, for clusters with M200 > 1014 M⊙. We also assessed the accuracy of the catalogue in terms of central positions and redshifts, finding scatter of σR = 12 kpc and σz = 8.8 × 10−3, respectively. Moreover, less than 1 per cent of the sample suffers from fragmentation or overmerging. The S-PLUS cluster catalogue recovers ∼80 per cent of all known X-ray and Sunyaev-Zel’dovich selected clusters in this field. This fraction is very close to the estimated completeness, thus validating the mock data analysis and paving an efficient way to find new groups and clusters of galaxies using data from the ongoing S-PLUS project. When complete, S-PLUS will have surveyed 9300 deg2 of the sky, representing the widest uninterrupted areas with narrow-through-broad multi-band photometry for cluster follow-up studies.

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Werner, S. V. (ORCID:0000000271867889), Cypriano, E. S., Gonzalez, A. H. (ORCID:0000000209338601), Mendes de Oliveira, C., Araya-Araya, P. (ORCID:0000000328605717), Doubrawa, L., Lopes de Oliveira, R., Lopes, P. A. A. (ORCID:0000000325407424), Vitorelli, A. Z., Brambila, D., Costa-Duarte, M., Telles, E., Kanaan, A., Ribeiro, T., Schoenell, W., Gonçalves, T. S., Menéndez-Delmestre, K., Bom, C. R., Nakazono, L. (ORCID:0000000164801155). 2022-11-12. S-PLUS DR1 galaxy clusters and groups catalogue using PzWav. https://doi.org/10.1093/mnras%2Fstac3273

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