Surveys with OmegaCAM / VST KIDS Koen Kuijken, Leiden.

Slides:



Advertisements
Similar presentations
Astronomical Wide-field Imaging System for Europe MPE/USM Survey/GTO Projects Mark Neeser MPE / ESO Mark Neeser MPE / ESO Leiden Workshop Nov
Advertisements

The Kilo-Degree Survey Konrad Kuijken Leiden Observatory.
SDSS and UKIDSS Jon Loveday University of Sussex.
What can we learn from Gravitational Magnification with BigBOSS? Alexie Leauthaud LBNL & BCCP.
VIDEO+SERVs A deep and wide near-infrared view of the Universe Matt Jarvis, David Bonfield University of Hertfordshire.
The National Science Foundation The Dark Energy Survey J. Frieman, M. Becker, J. Carlstrom, M. Gladders, W. Hu, R. Kessler, B. Koester, A. Kravtsov, for.
July 7, 2008SLAC Annual Program ReviewPage 1 Weak Lensing of The Faint Source Correlation Function Eric Morganson KIPAC.
Weak-Lensing selected, X-ray confirmed Clusters and the AGN closest to them Dara Norman NOAO/CTIO 2006 November 6-8 Boston Collaborators: Deep Lens Survey.
KIDS: mapping the universe with weak lensing Konrad Kuijken, Leiden.
AGN and Quasar Clustering at z= : Results from the DEEP2 + AEGIS Surveys Alison Coil Hubble Fellow University of Arizona Chandra Science Workshop.
July 7, 2008SLAC Annual Program ReviewPage 1 Future Dark Energy Surveys R. Wechsler Assistant Professor KIPAC.
The Transient Universe: AY 250 Spring 2007 Existing Transient Surveys: Optical I: Big Apertures Geoff Bower.
Dark Energy with 3D Cosmic Shear Dark Energy with 3D Cosmic Shear Alan Heavens Institute for Astronomy University of Edinburgh UK with Tom Kitching, Patricia.
Nikos Nikoloudakis and T.Shanks, R.Sharples 9 th Hellenic Astronomical Conference Athens, Greece September 20-24, 2009.
Relating Mass and Light in the COSMOS Field J.E. Taylor, R.J. Massey ( California Institute of Technology), J. Rhodes ( Jet Propulsion Laboratory) & the.
Angular clustering and halo occupation properties of COSMOS galaxies Cristiano Porciani.
Synergies with multi-wavelength surveys Matt Jarvis University of Hertfordshire.
Image credit: ESO/NASA/ESA/JPL-Caltech Unveiling the astrophysics of high-redshift galaxy evolution.
Survey Science Group Workshop 박명구, 한두환 ( 경북대 )
The Science Case for the Dark Energy Survey James Annis For the DES Collaboration.
NAOKI YASUDA, MAMORU DOI (UTOKYO), AND TOMOKI MOROKUMA (NAOJ) SN Survey with HSC.
Gdansk Jul THE DARK MATTER PROBLEM Konrad Kuijken Leiden Observatory.
Henk Hoekstra Ludo van Waerbeke Catherine Heymans Mike Hudson Laura Parker Yannick Mellier Liping Fu Elisabetta Semboloni Martin Kilbinger Andisheh Mahdavi.
Cosmic shear results from CFHTLS Henk Hoekstra Ludo van Waerbeke Catherine Heymans Mike Hudson Laura Parker Yannick Mellier Liping Fu Elisabetta Semboloni.
● DES Galaxy Cluster Mock Catalogs – Local cluster luminosity function (LF), luminosity-mass, and number-mass relations (within R 200 virial region) from.
How to start an AGN: the role of host galaxy environment Rachel Gilmour (ESO Chile & IfA, Edinburgh) Philip Best (Edinburgh), Omar Almaini & Meghan Gray.
Peter Capak Associate Research Scientist IPAC/Caltech.
Observational test of modified gravity models with future imaging surveys Kazuhiro Yamamoto (Hiroshima U.) Edinburgh Oct K.Y. , Bassett, Nichol,
Y-band Imaging of Extragalatic Fields and High redshift Quasars Changsu Choi 1, Myungshin Im 1 1 Center for the Exploration of the Origin of the Universe,
The KiDS survey. VISTA 4m telescope 0.6 sq.deg. InfraRed camera 16 2kx2k detectors 0.35” pixels VST 2.6m telescope 1 sq.deg. optical camera (OmegaCAM)
PAU survey collaboration: Barcelona (IFAE, ICE(IEEC/CSIC), PIC), Madrid (UAM & CIEMAT), València (IFIC & UV), Granada (IAA) PAU survey Physics of the Accelerating.
Astronomical Surveys Matthew Colless Observational Techniques Workshop April 2001.
Francisco Javier Castander Serentill Institut d’Estudis Espacials de Catalunya (IEEC) Institut de Ciències de l’Espai (ICE/CSIC) Barcelona Exploiting the.
Testing the Shear Ratio Test: (More) Cosmology from Lensing in the COSMOS Field James Taylor University of Waterloo (Waterloo, Ontario, Canada) DUEL Edinburgh,
Jim Annis for the DES Collaboration BIRP Meeting August 12, 2004 Tucson Design of the Dark Energy Survey James Annis.
Cosmic shear Henk Hoekstra Department of Physics and Astronomy University of Victoria Current status and prospects.
Surveying the Universe with SNAP Tim McKay University of Michigan Department of Physics Seattle AAS Meeting: 1/03 For the SNAP collaboration.
High redshift cluster search (SA22 field) KIAS SSG workshop Jae-Woo Kim (SNU) M. Im, S.-K. Lee & M. Hyun (SNU)
Search for High- Redshift Galaxies Wei Zheng Johns Hopkins University.
Refining Photometric Redshift Distributions with Cross-Correlations Alexia Schulz Institute for Advanced Study Collaborators: Martin White.
VST ATLAS Mike Irwin, Nigel Metcalfe, Tom Shanks, et al Featuring Utane Sawangwit, PhD +2QDES Michael Drinkwater, Scott Croom et al.
Galaxies in the UKIDSS Large Area Survey Jon Loveday Anthony Smith Celine Eminian University of Sussex.
VISTA Hemisphere Survey Dark Energy Survey VHS & DES Francisco Javier Castander.
1 Imaging Surveys: Goals/Challenges May 12, 2005 Luiz da Costa European Southern Observatory.
BAOs SDSS, DES, WFMOS teams (Bob Nichol, ICG Portsmouth)
Photometric Redshifts in Astro-Wise PhotRedCatalog Astro-Wise Workshop Leiden 2008 Jan Snigula, MPE.
VST ATLAS: Requirements, Operations and Products Tom Shanks, Nigel Metcalfe, Jamie McMillan (Durham Univ.) +CASU.
The clustering of galaxies detected by neutral hydrogen emission Sean Passmoor Prof. Catherine Cress Collaborators Andreas Faltenbacher, Ando Ratsimbazafy.
Latest Results from LSS & BAO Observations Will Percival University of Portsmouth StSci Spring Symposium: A Decade of Dark Energy, May 7 th 2008.
Hudson IAP July 4 Galaxy- Galaxy Lensing in CFHTLS Hudson (Waterloo) 2/3 Canadian 2/3 French.
Probing Cosmology with Weak Lensing Effects Zuhui Fan Dept. of Astronomy, Peking University.
Cosmology with ESO telescopes Bruno Leibundgut. Outline Past and current cosmology projects with ESO telescopes Future instrumentation capabilities (interferometry?)
Luminous Red Galaxies in the SDSS Daniel Eisenstein ( University of Arizona) with Blanton, Hogg, Nichol, Tegmark, Wake, Zehavi, Zheng, and the rest of.
The XMM Cluster Survey: Project summary and Cosmology Forecasts Kathy Romer University of Sussex.
Gravitational Lensing
ENVIRONMENTALPROPERTIES ENVIRONMENTAL PROPERTIES OF z~[1-3] AGN AND OF z~[1-3] AGN AND STARFORMING GALAXIES: STARFORMING GALAXIES: THE Spitzer VIEW ON.
Future observational prospects for dark energy Roberto Trotta Oxford Astrophysics & Royal Astronomical Society.
BAO,ISW+SZ from AA  +SDSS R.M. Bielby, U. Sawangwit, T. Shanks, Durham University + 2SLAQ + AAOmega teams.
FIRST LIGHT A selection of future facilities relevant to the formation and evolution of galaxies Wavelength Sensitivity Spatial resolution.
Two useful methods for the supernova cosmologist: (1) Including CMB constraints by using the CMB shift parameters (2) A model-independent photometric redshift.
Brenna Flaugher for the DES Collaboration; DPF Meeting August 27, 2004 Riverside,CA Fermilab, U Illinois, U Chicago, LBNL, CTIO/NOAO 1 Dark Energy and.
Feasibility of detecting dark energy using bispectrum Yipeng Jing Shanghai Astronomical Observatory Hong Guo and YPJ, in preparation.
Probing Dark Energy with Cosmological Observations Fan, Zuhui ( 范祖辉 ) Dept. of Astronomy Peking University.
Carlos Hernández-Monteagudo CE F CA 1 CENTRO DE ESTUDIOS DE FÍSICA DEL COSMOS DE ARAGÓN (CE F CA) J-PAS 10th Collaboration Meeting March 11th 2015 Cosmology.
1.INTRODUCTION Supernovae Type Ia (SNeIa) Good candidate for standard candle to the high-z Universe (redshift
Dark Energy: The Observational Challenge David Weinberg Ohio State University Based in part on Kujat, Linn, Scherrer, & Weinberg 2002, ApJ, 572, 1.
Z = 1.22 Red-Sequence Selected Clusters at 1 < z < 2 in the Spitzer SWIRE Survey Supervisor: Howard Yee Collaborators: Gillian Wilson Mark Lacy Henk Hoekstra.
Astronomy toolkits and data structures Andrew Jenkins Durham University.
Galaxy Evolution and WFMOS
Some issues in cluster cosmology
Presentation transcript:

Surveys with OmegaCAM / VST KIDS Koen Kuijken, Leiden

ESO public survey proposal –Accepted as core survey (May) 1700 square degrees ~ 400 nights Sloan band survey, median redshift 0.8 Goals: –Halo structure (weak lensing) –Dark energy (w via ang. power spec; wk lensing) –Galaxy evolution vs. environment –Cluster searches –Higher-redshift quasars than SDSS –White dwarf samples KIDS: Kilo-Degree Survey

Overlaps: –UKIDSS –SDSS –2dFGRS –CFHLS –COSMOS 960 sq deg. 2dFGRS SDSS DR2 CFHLS KIDS (Leiden, Groningen, Munchen, Bonn, Paris, Naples, Imperial, Edinburgh, Cambridge)

Overlaps: –2dFGRS –VISTA! 720 sq deg. Perfect for VLT and AAT, APEX, ALMA 2dFGRS KIDS (Leiden, Groningen, Munchen, Bonn, Paris, Naples, Imperial, Edinburgh, Cambridge)

Post-PSP field layout

Integration times, sensitivities Use all moon phases, best 80% of seeing <0.7” (40%) ” (20%) ” (20%) Dark (50%)r’g’u’ Grey (15%)i’ Bright (35%)z’ filterExp time (s) Medn seeing (“) 5-  2” AB u’ g’ r’ i’ z’ TOT7200 Optimize for weak lensing Wide-i VISTA

KIDS vs. SDSS

Galaxy-galaxy lensing 45 sq. deg from RCS survey (Hoekstra, Yee, Gladders 2004) Galaxy-mass correlation Halo radii Halo shapes KIDS: 7x smaller errors (#pairs) Good photo-z’s (b/g), spectroscopic z’s (lenses) Study effect by galaxy type

‘w’ (weak lensing) Weak lensing constraints –Lensing effect depends on relative distances of source and lens –Measure lensing strength as function of redshift –Deduce distance as function of redshift –Geometrical test of expansion history: w (5%) –Needs well-controlled photo-z’s!

‘w’ (wiggles) Use scale of power spectrum wiggles as standard candle Spec redshift surveys: need few 100,000 gals for detection –Photometric redshift surveys: wash out z information, but many more galaxies! KIDS: 67,000,000 gals with r<23.5 (20-  fluxes) Photo-z accurate to 0.03(1+z) (ugrizYJHK) –w(z=0) to <15% from KIDS –w(z=1) to better accuracy z=0.6 z=1.0 z=1.4 Angular waveno. (deg -1 )

Photo-z from KIDS/UKIDSS r<23.5 r<24 r<250<z<6 0<z<1.5

Typical SED’s (r~24, redshift~1) KIDS ugriz UKIDS YJHK

z>6.4 QSOs Combine with IR (UKIDSS, VISTA) Look for IR objects faint in i or z Find brown dwarfs and high-z QSOs Expect z>6.4 Many fainter z~5-6

The challenges Distributed dataprocessing (ASTRO-WISE!) –Work in a KIDS context –Central monitoring of calibration –Quality control is the key: Some overlaps between teams  intercompare Version control of the procedures, parameters, etc. Advanced QC tools, incl lensing and photo-z –Integration with ‘static’ IR surveys (VISTA, UKIDSS) Image and catalogue level

The challenges II Lensing measurements with shapelets Photo-z : matched-PSF and matched- aperture photometry for colors Shapelets session at 3pm.

SUMMARY 1700 sq.deg.: –Equatorial strip = UKIDSS / 2dFGRS area –South Galactic Pole = 2dFGRS field VISTA!! 5-band u’g’r’i’z’ Integration time 2hrs per field  440 nts Use range of seeing conditions, moon phase Optimized for weak lensing survey –Other applications: large-scale structure, cluster evolution, galaxy evolution, …

Shears from shapelets