The WaZP galaxy cluster sample of the dark energy survey year 1

We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the same photometric data. WaZP searches for clusters in wavelet-based density maps of galaxies selected in photometric redshift space without any assumption on the cluster galaxy populations. The comparison to other cluster samples was performed with a matching algorithm based on angular proximity and redshift difference of the clusters. It led to the development of a new approach to match two optical cluster samples, following an iterative approach to minimize incorrect associations. The WaZP cluster finder applied to DES Y1A1 galaxy survey (1511.13 deg2 up to mi = 23 mag) led to the detection of 60 547 galaxy clusters with redshifts 0.05 < z < 0.9 and richness Ngals ≥ 5. Considering the overlapping regions and redshift ranges between the DES Y1A1 and SPT cluster surveys, all sz based SPT clusters are recovered by the WaZP sample. The comparison between WaZP and redMaPPer cluster samples showed an excellent overall agreement for clusters with richness Ngals (λ for redMaPPer) greater than 25 (20), with 95 per cent recovery on both directions. Based on the cluster cross-match, we explore the relative fragmentation of the two cluster samples and investigate the possible signatures of unmatched clusters.

[1]  D. Gerdes,et al.  μ⋆ masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses , 2020, Monthly Notices of the Royal Astronomical Society.

[2]  R. Nichol,et al.  Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing , 2020, Physical Review D.

[3]  D. Gerdes,et al.  The SPTpol Extended Cluster Survey , 2019, The Astrophysical Journal Supplement Series.

[4]  A. Hopkins,et al.  The XXL Survey , 2018, Astronomy & Astrophysics.

[5]  J.Lee,et al.  THE DARK ENERGY CAMERA , 2004, The Dark Energy Survey.

[6]  Stephen Kent,et al.  Dark Energy Survey’s Observation Strategy, Tactics, and Exposure Scheduler , 2019, 1912.06254.

[7]  R. Nichol,et al.  Euclid preparation , 2019, Astronomy & Astrophysics.

[8]  J. Frieman,et al.  Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues , 2019, Monthly Notices of the Royal Astronomical Society.

[9]  Kyler Kuehn,et al.  The Buzzard Flock: Dark Energy Survey Synthetic Sky Catalogs , 2019, 1901.02401.

[10]  J. E. Ruhl,et al.  Cluster Cosmology Constraints from the 2500 deg2 SPT-SZ Survey: Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble Space Telescope , 2018, The Astrophysical Journal.

[11]  T. Schrabback,et al.  Galaxy populations in the most distant SPT-SZ clusters , 2018, Astronomy & Astrophysics.

[12]  D. Gerdes,et al.  On the relative bias of void tracers in the Dark Energy Survey , 2018, Monthly Notices of the Royal Astronomical Society.

[13]  J. Weller,et al.  Modelling projection effects in optically selected cluster catalogues , 2018, Monthly Notices of the Royal Astronomical Society.

[14]  J. Frieman,et al.  Star-galaxy classification in the Dark Energy Survey Y1 dataset , 2018, Monthly Notices of the Royal Astronomical Society.

[15]  R. C. Smith,et al.  Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters , 2018, Monthly Notices of the Royal Astronomical Society.

[16]  M. Sullivan,et al.  The Dark Energy Survey: Data Release 1 , 2018, The Astrophysical Journal Supplement Series.

[17]  B. Yanny,et al.  The Dark Energy Survey Image Processing Pipeline , 2018, 1801.03177.

[18]  R. Nichol,et al.  Stellar Streams Discovered in the Dark Energy Survey , 2018, The Astrophysical Journal.

[19]  Eric Suchyta,et al.  DES science portal: Computing photometric redshifts , 2017, Astron. Comput..

[20]  Michael Schubnell,et al.  DES science portal: Creating science-ready catalogs , 2017, Astron. Comput..

[21]  Maria E. S. Pereira,et al.  Weak-lensing calibration of a stellar mass-based mass proxy for redMaPPer and Voronoi Tessellation clusters in SDSS Stripe 82 , 2017, 1708.03329.

[22]  B. Yanny,et al.  Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology , 2017, 1708.01531.

[23]  R. Nichol,et al.  Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear , 2017, Physical Review D.

[24]  L. Moscardini,et al.  AMICO: optimized detection of galaxy clusters in photometric surveys , 2017, 1705.03029.

[25]  M. Lima,et al.  Effects of completeness and purity on cluster dark energy constraints , 2016, Physical Review D.

[26]  D. Gerdes,et al.  Baryon content in a sample of 91 galaxy clusters selected by the South Pole Telescope at 0.2 < z < 1.25 , 2017, 1711.00917.

[27]  R. Nichol,et al.  Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data , 2016, Monthly Notices of the Royal Astronomical Society.

[28]  D. Gerdes,et al.  Optical–SZE scaling relations for DES optically selected clusters within the SPT-SZ Survey , 2016, 1605.08770.

[29]  J. Bartlett,et al.  Apples to apples A2 – II. Cluster selection functions for next-generation surveys , 2016, 1605.07620.

[30]  Robert L. Seaman,et al.  Observatory Operations: Strategies, Processes, and Systems VII , 2016 .

[31]  C. Benoist,et al.  A new method to assign galaxy cluster membership using photometric redshifts , 2016, 1606.08744.

[32]  Alexander S. Szalay,et al.  Photometric redshifts for the SDSS Data Release 12 , 2016, 1603.09708.

[33]  H. Hildebrandt,et al.  The RedGOLD Cluster Detection Algorithm and its Cluster Candidate Catalogue for the CFHT-LS W1 , 2016, 1705.04331.

[34]  R. Nichol,et al.  THE REDMAPPER GALAXY CLUSTER CATALOG FROM DES SCIENCE VERIFICATION DATA , 2016, The Astrophysical Journal Supplement Series.

[35]  D. Gerdes,et al.  Comparing Dark Energy Survey and HST–CLASH observations of the galaxy cluster RXC J2248.7−4431: implications for stellar mass versus dark matter , 2016, 1601.00589.

[36]  R. Nichol,et al.  The Dark Energy Survey: more than dark energy - an overview , 2016, 1601.00329.

[37]  J. Vicente,et al.  DNF – Galaxy photometric redshift by Directional Neighbourhood Fitting , 2015, 1511.07623.

[38]  C. B. D'Andrea,et al.  No Galaxy Left Behind: Accurate Measurements with the Faintest Objects in the Dark Energy Survey , 2015, 1507.08336.

[39]  Paul Martini,et al.  GALAXIES IN X-RAY SELECTED CLUSTERS AND GROUPS IN DARK ENERGY SURVEY DATA. I. STELLAR MASS GROWTH OF BRIGHT CENTRAL GALAXIES SINCE z ∼ 1.2 , 2015, 1504.02983.

[40]  B. Yanny,et al.  The dark energy survey and operations: years 1 to 3 , 2016, Astronomical Telescopes + Instrumentation.

[41]  R. Keisler,et al.  Assessing Galaxy Limiting Magnitudes in Large Optical Surveys , 2015, 1509.00870.

[42]  R. Nichol,et al.  MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA , 2015, 1507.05647.

[43]  D. Gerdes,et al.  Constraints on the Richness-Mass Relation and the Optical-SZE Positional Offset Distribution for SZE-Selected Clusters , 2015, 1506.07814.

[44]  R. Nichol,et al.  OzDES multifibre spectroscopy for the Dark Energy Survey: First-year operation and results , 2015, 1504.03039.

[45]  C. A. Oxborrow,et al.  Planck2015 results , 2015, Astronomy &amp; Astrophysics.

[46]  R. Nichol,et al.  Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data , 2014, 1405.4285.

[47]  Adrian T. Lee,et al.  GALAXY CLUSTERS DISCOVERED VIA THE SUNYAEV–ZEL'DOVICH EFFECT IN THE 2500-SQUARE-DEGREE SPT-SZ SURVEY , 2014, 1409.0850.

[48]  A. Finoguenov,et al.  redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG , 2013, 1303.3562.

[49]  L. Moustakas,et al.  THE ERA OF STAR FORMATION IN GALAXY CLUSTERS , 2013, 1310.6039.

[50]  D. Barrado,et al.  Dynamical analysis of nearby clusters - Automated astrometry from the ground: precision proper motions over a wide field , 2013, 1306.4446.

[51]  J. Tinker,et al.  Galaxy evolution in groups and clusters: satellite star formation histories and quenching time-scales in a hierarchical Universe , 2012, 1206.3571.

[52]  Edwin A. Valentijn,et al.  The Kilo-Degree Survey , 2012, Experimental Astronomy.

[53]  Adam G. Riess,et al.  Observational probes of cosmic acceleration , 2012, 1201.2434.

[54]  M. Lueker,et al.  COSMOLOGICAL CONSTRAINTS FROM SUNYAEV–ZEL'DOVICH-SELECTED CLUSTERS WITH X-RAY OBSERVATIONS IN THE FIRST 178 deg2 OF THE SOUTH POLE TELESCOPE SURVEY , 2011, 1112.5435.

[55]  J. Mohr,et al.  THE BLANCO COSMOLOGY SURVEY: DATA ACQUISITION, PROCESSING, CALIBRATION, QUALITY DIAGNOSTICS, AND DATA RELEASE , 2012, 1204.1210.

[56]  J. Newman,et al.  THE DEEP2 GALAXY REDSHIFT SURVEY: THE VORONOI–DELAUNAY METHOD CATALOG OF GALAXY GROUPS , 2012, 1203.3899.

[57]  J. Han,et al.  A CATALOG OF 132,684 CLUSTERS OF GALAXIES IDENTIFIED FROM SLOAN DIGITAL SKY SURVEY III , 2012, 1202.6424.

[58]  D. Murphy,et al.  orca: The Overdense Red-sequence Cluster Algorithm , 2011, 1109.3182.

[59]  R. H. Wechsler,et al.  ROBUST OPTICAL RICHNESS ESTIMATION WITH REDUCED SCATTER , 2011, 1104.2089.

[60]  R. Nichol,et al.  Euclid Definition Study Report , 2011, 1110.3193.

[61]  J. Kneib,et al.  GALAXIES IN X-RAY GROUPS. I. ROBUST MEMBERSHIP ASSIGNMENT AND THE IMPACT OF GROUP ENVIRONMENTS ON QUENCHING , 2011, 1109.6040.

[62]  Aniruddha R. Thakar,et al.  ERRATUM: “THE EIGHTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST DATA FROM SDSS-III” (2011, ApJS, 193, 29) , 2011 .

[63]  Adrian T. Lee,et al.  The 10 Meter South Pole Telescope , 2009, 0907.4445.

[64]  M. Lueker,et al.  COSMOLOGICAL CONSTRAINTS FROM SUNYAEV-ZEL’DOVICH-SELECTED CLUSTERS WITH X-RAY OBSERVATIONS IN THE FIRST 178 SQUARE DEGREES OF THE SOUTH POLE TELESCOPE SURVEY , 2011 .

[65]  W. Harris A New Catalog of Globular Clusters in the Milky Way , 2010, 1012.3224.

[66]  Risa H. Wechsler,et al.  THE VORONOI TESSELLATION CLUSTER FINDER IN 2+1 DIMENSIONS , 2010, 1011.3458.

[67]  Christopher J. Miller,et al.  The XMM Cluster Survey: X-ray analysis methodology , 2010, 1010.0677.

[68]  D. Gerdes,et al.  A GMBCG GALAXY CLUSTER CATALOG OF 55,424 RICH CLUSTERS FROM SDSS DR7 , 2010, 1010.5503.

[69]  B. Garilli,et al.  The VIMOS-VLT deep survey: The group catalogue , 2009, 0911.3740.

[70]  B. Garilli,et al.  Galaxy structure searches by photometric redshifts in the CFHTLS , 2009, 0910.3827.

[71]  Donald W. Sweeney,et al.  LSST Science Book, Version 2.0 , 2009, 0912.0201.

[72]  IfA,et al.  The Observed Growth of Massive Galaxy Clusters I: Statistical Methods and Cosmological Constraints , 2009, 0909.3098.

[73]  B. Garilli,et al.  AN OPTICAL GROUP CATALOG TO z = 1 FROM THE zCOSMOS 10 k SAMPLE , 2009, 0903.3411.

[74]  Alexey Vikhlinin,et al.  CHANDRA CLUSTER COSMOLOGY PROJECT III: COSMOLOGICAL PARAMETER CONSTRAINTS , 2008, 0812.2720.

[75]  J. Bartlett,et al.  EVOLUTION OF THE COLOR–MAGNITUDE RELATION IN GALAXY CLUSTERS AT z ∼ 1 FROM THE ACS INTERMEDIATE REDSHIFT CLUSTER SURVEY , 2008, 0810.1917.

[76]  C. Benoist,et al.  Galaxy clusters in the CFHTLS - First matched filter candidate catalogue of the deep fields (vol. 461, pg 81, 2007) , 2008 .

[77]  D. Schiminovich,et al.  The First Release COSMOS Optical and Near-IR Data and Catalog , 2007, 0704.2430.

[78]  R. Nichol,et al.  A MaxBCG Catalog of 13,823 Galaxy Clusters from the Sloan Digital Sky Survey , 2007, astro-ph/0701265.

[79]  Nancy R. Evans,et al.  Chandra Multiwavelength Project X-Ray Point Source Catalog , 2006, astro-ph/0611840.

[80]  A. Fontana,et al.  A new (2+1)D cluster finding algorithm based on photometric redshifts: large scale structure in the Chandra deep field south , 2006, astro-ph/0611895.

[81]  J. Mohr,et al.  Evolution of the K-Band Galaxy Cluster Luminosity Function and Scaling Relations , 2006, astro-ph/0609169.

[82]  B. Garilli,et al.  Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey , 2006, astro-ph/0603217.

[83]  B. Flaugher The Dark Energy Survey , 2005 .

[84]  M. Lima,et al.  Self-Calibration of Cluster Dark Energy Studies: Observable-Mass Distribution , 2005, astro-ph/0503363.

[85]  A. Kimball,et al.  Measurement of Galaxy Cluster Sizes, Radial Profiles, and Luminosity Functions from SDSS Photometric Data , 2004, astro-ph/0410467.

[86]  K. Gorski,et al.  HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere , 2004, astro-ph/0409513.

[87]  J. Newman,et al.  The DEEP2 Galaxy Redshift Survey: First Results on Galaxy Groups , 2004, astro-ph/0410721.

[88]  M. Giavalisco,et al.  A Deep Wide-Field, Optical, and Near-Infrared Catalog of a Large Area around the Hubble Deep Field North , 2003, astro-ph/0312635.

[89]  R. Bender,et al.  Finding structures in photometric redshift galaxy surveys: an extended friends-of-friends algorithm , 2003, astro-ph/0312018.

[90]  Robert Jedicke,et al.  Pan-STARRS: A Large Synoptic Survey Telescope Array , 2002, SPIE Astronomical Telescopes + Instrumentation.

[91]  R. Nichol,et al.  The Cut-and-Enhance Method: Selecting Clusters of Galaxies from the Sloan Digital Sky Survey Commissioning Data , 2001, astro-ph/0112482.

[92]  Robert J. Brunner,et al.  Detecting Clusters of Galaxies in the Sloan Digital Sky Survey. I. Monte Carlo Comparison of Cluster Detection Algorithms , 2001, astro-ph/0110259.

[93]  C. Benoist,et al.  ESO imaging survey - Deep public survey: Multi-color optical data for the Chandra Deep Field South , 2001, astro-ph/0103071.

[94]  M. Gladders,et al.  A New Method For Galaxy Cluster Detection. I. The Algorithm , 2000, astro-ph/0004092.

[95]  Giuliano Giuricin,et al.  Observational cosmology : the development of galaxy systems : proceedings of the International workshop held at Sesto Pusteria, Bolzano, Italy, 30 June - 3 July, 1998 , 1999 .

[96]  Fionn Murtagh,et al.  Image Processing and Data Analysis - The Multiscale Approach , 1998 .

[97]  Fionn Murtagh,et al.  Image processing and data analysis , 1998 .

[98]  E. Bertin,et al.  SExtractor: Software for source extraction , 1996 .

[99]  J. B. Oke,et al.  The Palomar Distant Clusters Survey. I. The Cluster Catalog , 1995, astro-ph/9511011.

[100]  R. Nichol,et al.  The Edinburgh-Durham Southern Galaxy Catalogue. IV : The cluster catalogue , 1992 .

[101]  S. Shectman,et al.  Clusters of galaxies from the Shane-Wirtanen counts , 1985 .