Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey

We present the combination of optical data from the Science Verification phase of the Dark Energy Survey (DES) with near-infrared (NIR) data from the European Southern Observatory VISTA Hemisphere Survey (VHS). The deep optical detections from DES are used to extract fluxes and associated errors from the shallower VHS data. Joint seven-band (grizYJK) photometric catalogues are produced in a single 3 sq-deg dedicated camera field centred at 02h26m-04d36m where the availability of ancillary multiwavelength photometry and spectroscopy allows us to test the data quality. Dual photometry increases the number of DES galaxies with measured VHS fluxes by a factor of ~4.5 relative to a simple catalogue level matching and results in a ~1.5 mag increase in the 80 per cent completeness limit of the NIR data. Almost 70 per cent of DES sources have useful NIR flux measurements in this initial catalogue. Photometric redshifts are estimated for a subset of galaxies with spectroscopic redshifts and initial results, although currently limited by small number statistics, indicate that the VHS data can help reduce the photometric redshift scatter at both z 1. We present example DES+VHS colour selection criteria for high-redshift luminous red galaxies (LRGs) at z ~ 0.7 as well as luminous quasars. Using spectroscopic observations in this field we show that the additional VHS fluxes enable a cleaner selection of both populations with <10 per cent contamination from galactic stars in the case of spectroscopically confirmed quasars and <0.5 per cent contamination from galactic stars in the case of spectroscopically confirmed LRGs. The combined DES+VHS data set, which will eventually cover almost 5000 sq-deg, will therefore enable a range of new science and be ideally suited for target selection for future wide-field spectroscopic surveys.

[1]  R. Nichol,et al.  Photometric redshift analysis in the Dark Energy Survey Science Verification data , 2014, 1406.4407.

[2]  J. Frieman,et al.  Optimizing spectroscopic and photometric galaxy surveys: efficient target selection and survey strategy , 2013, 1307.8061.

[3]  E. L. Wright,et al.  WISE DETECTIONS OF KNOWN QSOs AT REDSHIFTS GREATER THAN SIX , 2013, 1310.2301.

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

[5]  R. Nichol,et al.  Detecting massive galaxies at high redshift using the Dark Energy Survey , 2013, 1306.2634.

[6]  S. P. Littlefair,et al.  76 T dwarfs from the UKIDSS LAS : benchmarks, kinematics and an updated space density , 2013, 1304.7246.

[7]  M. Banerji,et al.  The stellar masses of ~40 000 UV selected galaxies from the WiggleZ survey at 0.3 , 2013, 1302.5110.

[8]  Australian National University,et al.  Galaxy And Mass Assembly (GAMA): Spectroscopic analysis , 2013, 1301.7127.

[9]  M. Sullivan,et al.  The VISTA deep extragalactic observations (VIDEO) survey , 2012, 1206.4263.

[10]  M. Banerji,et al.  The stellar masses of ~40000 UV selected Galaxies from the WiggleZ survey at 0.3 less than z less than 1.0: analogues of Lyman break galaxies? , 2013 .

[11]  Sergey E. Koposov,et al.  Hyperluminous reddened broad-line quasars at z ∼ 2 from the VISTA Hemisphere Survey and WISE all-sky survey , 2012, Monthly Notices of the Royal Astronomical Society: Letters.

[12]  Cambridge,et al.  First T dwarfs in the VISTA Hemisphere Survey , 2012, 1210.5148.

[13]  W. M. Wood-Vasey,et al.  THE NINTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY: FIRST SPECTROSCOPIC DATA FROM THE SDSS-III BARYON OSCILLATION SPECTROSCOPIC SURVEY , 2012, 1207.7137.

[14]  Emmanuel Bertin,et al.  The Dark Energy Survey data processing and calibration system , 2012, Other Conferences.

[15]  Celine Peroux,et al.  The large area KX quasar catalogue – I. Analysis of the photometric redshift selection and the complete quasar catalogue , 2012, 1206.1434.

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

[17]  P. Hewett,et al.  Heavily reddened quasars at z ∼ 2 in the UKIDSS Large Area Survey: a transitional phase in AGN evolution , 2012, 1203.5530.

[18]  Kenneth Patton,et al.  Status of the Dark Energy Survey Camera (DECam) project , 2010, Other Conferences.

[19]  H. Thomas Diehl,et al.  The Dark Energy Survey Camera (DECam) , 2012 .

[20]  Richard G. McMahon,et al.  A luminous quasar at a redshift of z = 7.085 , 2011, Nature.

[21]  Liverpool John Moores University,et al.  Probabilistic selection of high-redshift quasars , 2011, 1101.4965.

[22]  R. Nichol,et al.  THE CLUSTERING OF MASSIVE GALAXIES AT z ∼ 0.5 FROM THE FIRST SEMESTER OF BOSS DATA , 2010, 1010.4915.

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

[24]  Martin G. Cohen,et al.  THE WIDE-FIELD INFRARED SURVEY EXPLORER (WISE): MISSION DESCRIPTION AND INITIAL ON-ORBIT PERFORMANCE , 2010, 1008.0031.

[25]  S. Dye,et al.  Galaxy And Mass Assembly (GAMA): the input catalogue and star–galaxy separation , 2009, 0910.5120.

[26]  Bangalore,et al.  Optical identification of XMM sources in the CFHTLS , 2009, 0909.0464.

[27]  O. Lahav,et al.  The 6dF Galaxy Survey: final redshift release (DR3) and southern large-scale structures , 2009, 0903.5451.

[28]  A. Ealet,et al.  Designing future dark energy space missions. I. Building realistic galaxy spectro-photometric catalo , 2009, 0902.0625.

[29]  R. McLure,et al.  SIX MORE QUASARS AT REDSHIFT 6 DISCOVERED BY THE CANADA–FRANCE HIGH-z QUASAR SURVEY , 2009, 0901.0565.

[30]  S. T. Hodgkin,et al.  The UKIRT wide field camera ZYJHK photometric system: calibration from 2MASS , 2008, 0812.3081.

[31]  D. Thompson,et al.  COSMOS PHOTOMETRIC REDSHIFTS WITH 30-BANDS FOR 2-deg2 , 2008, 0809.2101.

[32]  Cambridge,et al.  Luminous K-band Selected Quasars from UKIDSS , 2008, 0802.3650.

[33]  Huan Lin,et al.  Estimating the redshift distribution of photometric galaxy samples – II. Applications and tests of a new method , 2008, 0801.3822.

[34]  Manda Banerji,et al.  Photometric Redshifts for the Dark Energy Survey and VISTA and Implications for Large Scale Structure , 2007, 0711.1059.

[35]  D. Wake,et al.  Luminous red galaxy clustering at z = 0.7 - First results using AAOmega , 2007, 0704.3739.

[36]  O. Fèvre,et al.  Spectral Energy Distributions of Hard X-Ray Selected Active Galactic Nuclei in the XMM-Newton Medium Deep Survey , 2007 .

[37]  Cambridge,et al.  The discovery of the first luminous z∼ 6 quasar in the UKIDSS Large Area Survey , 2006, astro-ph/0612162.

[38]  Eric Bertin,et al.  Automatic Astrometric and Photometric Calibration with SCAMP , 2006 .

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

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

[41]  James P. Emerson,et al.  VISTA data flow system: pipeline processing for WFCAM and VISTA , 2004, SPIE Astronomical Telescopes + Instrumentation.

[42]  James P. Emerson,et al.  VISTA data flow system: overview , 2004, SPIE Astronomical Telescopes + Instrumentation.

[43]  Robert Mann,et al.  VISTA data flow system survey access and curation: the WFCAM science archive , 2004, SPIE Astronomical Telescopes + Instrumentation.

[44]  R. Bender,et al.  The Munich Near-Infrared Cluster Survey (MUNICS). VI. The Stellar Masses of K-Band-selected Field Galaxies to z ~ 1.2 , 2004 .

[45]  Alan Bridger,et al.  Optimizing Scientific Return for Astronomy through Information Technologies , 2004 .

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

[47]  E. Bell,et al.  The Optical and Near-Infrared Properties of Galaxies. I. Luminosity and Stellar Mass Functions , 2003, astro-ph/0302543.

[48]  V. Narayanan,et al.  Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Main Galaxy Sample , 2002, astro-ph/0206225.

[49]  M. SubbaRao,et al.  Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample , 2002, astro-ph/0202251.

[50]  Emmanuel Bertin,et al.  The TERAPIX Pipeline , 2002 .

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

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

[53]  P. H. Hauschildt,et al.  Spectral Energy Distributions for Disk and Halo M Dwarfs , 2000, astro-ph/0001100.

[54]  P. Hewett,et al.  The KX method for producing K-band flux-limited samples of quasars , 1999, astro-ph/9911064.

[55]  A. Kinney,et al.  The Dust Content and Opacity of Actively Star-forming Galaxies , 1999, astro-ph/9911459.