J/ApJ/829/44    NGVS. XX. RedGOLD background galaxy clusters    (Licitra+, 2016)

The Next Generation Virgo Cluster Survey. XX. RedGOLD background galaxy cluster detections. Licitra R., Mei S., Raichoor A., Erben T., Hildebrandt H., Munoz R.P., Van Waerbeke L., Cote P., Cuillandre J.-C., Duc P.-A., Ferrarese L., Gwyn S.D.J., Huertas-Company M., Lancon A., Parroni C., Puzia T.H. <Astrophys. J., 829, 44-44 (2016)> =2016ApJ...829...44L 2016ApJ...829...44L (SIMBAD/NED BibCode)
ADC_Keywords: Clusters, galaxy ; Redshifts ; Photometry Keywords: galaxies: clusters: general; galaxies: general; galaxies: high-redshift Abstract: We build a background cluster candidate catalog from the Next Generation Virgo Cluster Survey (NGVS) using our detection algorithm RedGOLD. The NGVS covers 104deg2 of the Virgo cluster in the u*,g,r,i,z-bandpasses to a depth of g∼25.7mag (5σ). Part of the survey was not covered or has shallow observations in the r band. We build two cluster catalogs: one using all bandpasses, for the fields with deep r-band observations (∼20deg2), and the other using four bandpasses (u*,g,i,z) for the entire NGVS area. Based on our previous Canada-France-Hawaii Telescope Legacy Survey W1 studies, we estimate that both of our catalogs are ∼100% (∼70%) complete and ∼80% pure, at z≤0.6 (z≲1), for galaxy clusters with masses of M≳1014M. We show that when using four bandpasses, though the photometric redshift accuracy is lower, RedGOLD detects massive galaxy clusters up to z∼1 with completeness and purity similar to the five-band case. This is achieved when taking into account the bias in the richness estimation, which is ∼40% lower at 0.5≤z<0.6 and ∼20% higher at 0.6<z<0.8, with respect to the five-band case. RedGOLD recovers all the X-ray clusters in the area with mass M500>1.4x1014M and 0.08<z<0.5. Because of our different cluster richness limits and the NGVS depth, our catalogs reach lower masses than the published redMaPPer cluster catalog over the area, and we recover ∼90%-100% of its detections. Description: The Next Generation Virgo Cluster Survey (NGVS) observations were performed with the MegaCam instrument, the optical imager mounted on MegaPrime, at the prime focus of the CFHT. In our analysis, we use the data reduction and photometric catalog from Raichoor+ (2014ApJ...797..102R 2014ApJ...797..102R). We refer to this work for further details. The NGVS observations were obtained from 01/03/2008 until 12/06/2013, under several CFHT programs (P.I. L. Ferrarese: 08AC16, 09AP03, 09AP04, 09BP03, 09BP04, 10AP03, 10BP03, 11AP03, 11BP03, 12AP03, 12BP03, 13AC02, 13AP03; P.I. S. Mei: 08AF20; P.I. J.-C. Cuillandre: 10AD99, 12AD99 and P.I. Y.-T. Chen: 10AT06). File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file ngvs4.dat 62 1724 NGVS RedGOLD cluster candidate catalog for the whole NGVS area, using only four optical bands ngvs5.dat 62 294 NGVS RedGOLD cluster candidate catalog for the ∼20 square degree region with deep r-band observations -------------------------------------------------------------------------------- Description of file: The "ori.tar" archive in FTP contains the 2 original FITS files and associated "readme.txt". See also: B/cfht : Log of CFHT Exposures (CADC, 1979-) J/ApJS/227/12 : NGVS XXV. Virgo globular clusters photometry (Powalka+, 2016) J/ApJ/802/30 : NGVS VI. Ultra-compact dwarfs in M87 (Zhang+, 2015) J/ApJS/215/22 : The Extended Virgo Cluster Catalog (EVCC) (Kim+, 2014) J/A+A/566/A140 : Catalog of XMM X-ray galaxy groups (Gozaliasl+, 2014) J/ApJ/785/104 : redMaPPer. I. Algorithm applied to SDSS DR8 (Rykoff+, 2014) J/MNRAS/423/1024 : XCS-DR1 Cluster Catalogue (Mehrtens+, 2012) J/ApJS/199/34 : Clusters of galaxies in SDSS-III (Wen+, 2012) J/A+A/534/A109 : MCXC Meta-Catalogue X-ray galaxy Clusters (Piffaretti+, 2011) J/MNRAS/413/1145 : Galaxy clusters in the COSMOS field (Bellagamba+, 2011) J/A+A/494/845 : Galaxy clusters in the CFHTLS (Grove+, 2009) J/A+A/461/81 : Galaxy clusters in the CFHTLS (Olsen+, 2007) Byte-by-byte Description of file: ngvs[45].dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 9 F9.5 deg RAdeg Right ascension of the brightest galaxy (J2000) 11- 18 F8.5 deg DEdeg Declination of the brightest galaxy (J2000) 20- 26 F7.5 --- zphot [0.1/1.1] Photometric cluster redshift (PHOTOZ) 28- 34 F7.5 --- e_zphot [0.0003/0.02] The bootstrap statistical error in photometric redshift (ePHOTOZ) 36- 43 F8.6 --- zspec [0.08/0.9]?=0 Average spectroscopic redshift, when available from Raichoor+, 2014ApJ...797..102R 2014ApJ...797..102R (1) 45- 49 F5.2 --- Sdet [4/32] Detection significance σdet 51- 56 F6.2 --- Rich [9/109] Cluster richness λ 58- 62 F5.2 --- e_Rich [3/11] The bootstrap statistical uncertainty on cluster richness λerr -------------------------------------------------------------------------------- Note (1): To estimate the accuracy of their redshift estimates, Raichoor+ (2014ApJ...797..102R 2014ApJ...797..102R) used spectroscopic redshifts from different surveys (see their Table 4). For the NGVS fields, they used spectroscopic redshifts from the SDSS (Eisenstein+ 2001AJ....122.2267E 2001AJ....122.2267E; Strauss+ 2002AJ....124.1810S 2002AJ....124.1810S; Dawson+ 2013AJ....145...10D 2013AJ....145...10D), the Virgo Dwarf Globular Cluster Survey (P. Guhathakurta+ 2016, in preparation), two spectroscopic programs at the Anglo-Australian Telescope (H. X. Zhang+ 2015, 2016, in preparation) and at the Multiple Mirror Telescope (E. Peng+ 2016, in preparation). -------------------------------------------------------------------------------- History: From electronic version of the journal References: Ferrarese et al. Paper I. 2012ApJS..200....4F 2012ApJS..200....4F Paudel et al. Paper IV. 2013ApJ...767..133P 2013ApJ...767..133P Zhu et al. Paper V. 2014ApJ...792...59Z 2014ApJ...792...59Z Zhang et al. Paper VI. 2015ApJ...802...30Z 2015ApJ...802...30Z Cat. J/ApJ/802/30 Sanchez-Janssen et al. Paper VII. 2016ApJ...820...69S 2016ApJ...820...69S Durrel et al. Paper VIII. 2014ApJ...794..103D 2014ApJ...794..103D Grossauer et al. Paper IX. 2015ApJ...807...88G 2015ApJ...807...88G Liu et al. Paper X. 2015ApJ...812...34L 2015ApJ...812...34L Cat. J/ApJ/812/34 Raichoor et al. Paper XI. 2014ApJ...797..102R 2014ApJ...797..102R Guerou et al. Paper XII. 2015ApJ...804...70G 2015ApJ...804...70G Ferrarese et al. Paper XIII. 2016ApJ...824...10F 2016ApJ...824...10F Ferrarese et al. Paper XIV. 2020ApJ...890..128F 2020ApJ...890..128F Cat. J/ApJ/890/128 Raichoor et al. Paper XV. 2014ApJ...797..102R 2014ApJ...797..102R Toloba et al. Paper XVI. 2016ApJ...822...51T 2016ApJ...822...51T Sun et al. Paper XVII. 2019ApJ...885..145S 2019ApJ...885..145S Cantiello et al. Paper XVIII. 2018ApJ...856..126C 2018ApJ...856..126C Lokhorst et al. Paper XIX. 2016ApJ...819..124L 2016ApJ...819..124L Licitra et al. Paper XX. 2016ApJ...829...44L 2016ApJ...829...44L This catalog Parroni et al. Paper XXI. 2017ApJ...848..114P 2017ApJ...848..114P Paudel et al. Paper XXII. 2017ApJ...834...66P 2017ApJ...834...66P Sanchez-Janssen et al. Paper XXIII. 2019ApJ...878...18S 2019ApJ...878...18S Cat. J/ApJ/878/18 Roediger et al. Paper XXIV. 2017ApJ...836..120R 2017ApJ...836..120R Powalka et al. Paper XXV. 2016ApJS..227...12P 2016ApJS..227...12P Cat. J/ApJS/227/12 Powalka et al. Paper XXVI. 2017ApJ...844..104P 2017ApJ...844..104P Fantin et al. Paper XXVIII. 2017ApJ...843...53F 2017ApJ...843...53F Lim et al. Paper XXX. 2020ApJ...899...69L 2020ApJ...899...69L Longobardi et al. Paper XXXI. 2018ApJ...864...36L 2018ApJ...864...36L Powalka et al. Paper XXXII. 2018ApJ...856...84P 2018ApJ...856...84P Liu et al. Paper XXXIV. 2020ApJS..250...17L 2020ApJS..250...17L Cat. J/ApJS/250/17
(End) Emmanuelle Perret [CDS] 15-Mar-2017
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