THE REDMAPPER GALAXY CLUSTER CATALOG FROM DES SCIENCE VERIFICATION DATA

We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder specifically designed for large photometric surveys. The updated algorithm is applied to of Science Verification (SV) data from the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set. The DES SV catalog is locally volume limited and contains 786 clusters with richness (roughly equivalent to ) and . The DR8 catalog consists of 26,311 clusters with , with a sharply increasing richness threshold as a function of redshift for . The photometric redshift performance of both catalogs is shown to be excellent, with photometric redshift uncertainties controlled at the level for , rising to ∼0.02 at in DES SV. We make use of Chandra and XMM X-ray and South Pole Telescope Sunyaev–Zeldovich data to show that the centering performance and mass–richness scatter are consistent with expectations based on prior runs of redMaPPer on SDSS data. We also show how the redMaPPer photo-z and richness estimates are relatively insensitive to imperfect star/galaxy separation and small-scale star masks.

[1]  N. Clerc,et al.  The cosmological analysis of X-ray cluster surveys , 2017, Astronomy & Astrophysics.

[2]  Christopher J. Miller,et al.  Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data , 2015 .

[3]  R. Nichol,et al.  Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data. , 2015, Physical review letters.

[4]  Massimo Brescia,et al.  The first and second data releases of the Kilo-Degree Survey , 2015, 1507.00742.

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

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

[7]  J. C. Muñoz-Cuartas,et al.  Galaxy Cluster Mass Reconstruction Project - II. Quantifying scatter and bias using contrasting mock catalogues , 2015, 1502.07347.

[8]  E. Rykoff,et al.  redMaPPer – IV. Photometric membership identification of red cluster galaxies with 1 per cent precision , 2014, 1410.1193.

[9]  M. Lueker,et al.  MASS CALIBRATION AND COSMOLOGICAL ANALYSIS OF THE SPT-SZ GALAXY CLUSTER SAMPLE USING VELOCITY DISPERSION σv AND X-RAY YX MEASUREMENTS , 2014, 1407.2942.

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

[11]  L. David,et al.  XMM-Newton and Chandra cross-calibration using HIFLUGCS galaxy clusters - Systematic temperature differences and cosmological impact , 2014, 1404.7130.

[12]  J. Bartlett,et al.  redMaPPer – III. A detailed comparison of the Planck 2013 and SDSS DR8 redMaPPer cluster catalogues , 2014, 1401.7716.

[13]  E. Bertin,et al.  MODELING THE TRANSFER FUNCTION FOR THE DARK ENERGY SURVEY , 2014, 1411.0032.

[14]  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.

[15]  M. Oguri A cluster finding algorithm based on the multiband identification of red sequence galaxies , 2014, 1407.4693.

[16]  N. Clerc,et al.  The X-CLASS-redMaPPer galaxy cluster comparison. I. Identification procedures , 2014, 1403.4100.

[17]  A. Evrard,et al.  A model for multiproperty galaxy cluster statistics , 2014, 1403.1456.

[18]  D. Wittman,et al.  Optical galaxy clusters in the Deep Lens Survey , 2014, 1401.3001.

[19]  D. A. García-Hernández,et al.  THE TENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST SPECTROSCOPIC DATA FROM THE SDSS-III APACHE POINT OBSERVATORY GALACTIC EVOLUTION EXPERIMENT , 2013, 1307.7735.

[20]  C. A. Oxborrow,et al.  XXIV. Cosmology from Sunyaev-Zeldovich cluster counts , 2015, 1502.01597.

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

[22]  E. Rykoff,et al.  redMaPPer II: X-RAY AND SZ PERFORMANCE BENCHMARKS FOR THE SDSS CATALOG , 2013, 1303.3373.

[23]  Caltech,et al.  Weighing the Giants – II. Improved calibration of photometry from stellar colours and accurate photometric redshifts , 2012, 1208.0602.

[24]  G. Zamorani,et al.  The VIMOS Public Extragalactic Survey (VIPERS) - First Data Release of 57 204 spectroscopic measurements , 2013, 1310.1008.

[25]  David N. Spergel,et al.  The Atacama Cosmology Telescope: Sunyaev-Zel'dovich selected galaxy clusters at 148 GHz from three seasons of data , 2013, 1301.0816.

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

[27]  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.

[28]  W. M. Wood-Vasey,et al.  THE BARYON OSCILLATION SPECTROSCOPIC SURVEY OF SDSS-III , 2012, 1208.0022.

[29]  Conor Mancone,et al.  EzGal: A Flexible Interface for Stellar Population Synthesis Models , 2012, 1205.0009.

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

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

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

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

[34]  B. Weiner,et al.  The Arizona CDFS Environment Survey (ACES): A Magellan/IMACS Spectroscopic Survey of the Chandra Deep Field-South† , 2011, 1112.0312.

[35]  D. Wittman,et al.  Bayesian cluster finder: clusters in the CFHTLS Archive Research Survey , 2011, 1111.0013.

[36]  Christopher J. Miller,et al.  The XMM Cluster Survey:Optical analysis methodology and the first data release , 2011, 1106.3056.

[37]  E. Rykoff,et al.  EXTRINSIC SOURCES OF SCATTER IN THE RICHNESS–MASS RELATION OF GALAXY CLUSTERS , 2011, 1104.2090.

[38]  August E. Evrard,et al.  Cosmological Parameters from Observations of Galaxy Clusters , 2011, 1103.4829.

[39]  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 .

[40]  Elena Pierpaoli,et al.  AN OPTICAL CATALOG OF GALAXY CLUSTERS OBTAINED FROM AN ADAPTIVE MATCHED FILTER FINDER APPLIED TO SLOAN DIGITAL SKY SURVEY DATA RELEASE 6 , 2010, 1011.0249.

[41]  S. Bamford,et al.  Galaxy and Mass Assembly (GAMA): survey diagnostics and core data release , 2010, 1009.0614.

[42]  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 .

[43]  J. G. Jernigan,et al.  Astronomical Data Analysis Software and Systems XX , 2011 .

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

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

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

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

[48]  Jiangang Hao,et al.  IMPROVEMENT OF THE RICHNESS ESTIMATES OF maxBCG CLUSTERS , 2009 .

[49]  Jiangang Hao,et al.  PRECISION MEASUREMENTS OF THE CLUSTER RED SEQUENCE USING AN ERROR-CORRECTED GAUSSIAN MIXTURE MODEL , 2009, 0907.4383.

[50]  J. Frieman,et al.  COSMOLOGICAL CONSTRAINTS FROM THE SLOAN DIGITAL SKY SURVEY MaxBCG CLUSTER CATALOG , 2009, 0902.3702.

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

[52]  H. Hoekstra,et al.  THE X-RAY CLUSTER NORMALIZATION OF THE MATTER POWER SPECTRUM , 2008, 0809.3832.

[53]  R. Wechsler,et al.  THE GALAXY CONTENT OF SDSS CLUSTERS AND GROUPS , 2007, 0710.3780.

[54]  P. S. Bunclark,et al.  Astronomical Data Analysis Software and Systems , 2008 .

[55]  A. Mazure,et al.  The Vimos VLT deep survey Global properties of 20 000 galaxies in the IAB < 22.5 WIDE survey , 2008, 0804.4568.

[56]  Michael S. Warren,et al.  Toward a Halo Mass Function for Precision Cosmology: The Limits of Universality , 2008, 0803.2706.

[57]  R. Mandelbaum,et al.  Improved optical mass tracer for galaxy clusters calibrated using weak lensing measurements , 2008, 0802.2365.

[58]  M. Swanson,et al.  Methods for rapidly processing angular masks of next-generation galaxy surveys , 2007, 0711.4352.

[59]  E. Rozo,et al.  MaxBCG: A Red-Sequence Galaxy Cluster Finder , 2007, astro-ph/0701268.

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

[61]  P. Hall,et al.  Cosmological Constraints from the Red-Sequence Cluster Survey , 2006, astro-ph/0603588.

[62]  Jean-Luc Starck,et al.  Astronomical Data Analysis , 2007 .

[63]  L. Guzzo,et al.  The Cosmic Evolution Survey (COSMOS): Overview , 2006, astro-ph/0612305.

[64]  M. Skrutskie,et al.  The Two Micron All Sky Survey (2MASS) , 2006 .

[65]  H Germany,et al.  The structural and scaling properties of nearby galaxy clusters. II. The M-T relation , 2005, astro-ph/0502210.

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

[67]  M. Langlois,et al.  Society of Photo-Optical Instrumentation Engineers , 2005 .

[68]  G. Bruzual,et al.  Stellar population synthesis at the resolution of 2003 , 2003, astro-ph/0309134.

[69]  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.

[70]  V. Narayanan,et al.  Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample , 2001, astro-ph/0108153.

[71]  S.Cole,et al.  The 2dF Galaxy Redshift Survey: spectra and redshifts , 2001, astro-ph/0106498.

[72]  Walter A. Siegmund,et al.  The Sloan Digital Sky Survey: Technical Summary , 2000, astro-ph/0006396.

[73]  J. C. Whitmer Bright Star , 1997, Science.

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

[75]  Matthew A. Bershady,et al.  Linear Regression for Astronomical Data with Measurement Errors and Intrinsic Scatter , 1996, astro-ph/9605002.

[76]  S. White,et al.  Accretion of satellite galaxies and the density of the Universe , 1994 .

[77]  J. Dickey,et al.  H I in the Galaxy , 1990 .

[78]  R. Sinnott,et al.  NGC 2000.0 : the complete new general catalogue and index catalogues of nebulae and star clusters , 1988 .

[79]  Carlos Jaschek,et al.  The Bright Star Catalogue , 1982 .

[80]  A. Eddington,et al.  On a Formula for Correcting Statistics for the Effects of a known Probable Error of Observation , 1913 .