Surveys with OmegaCAM / VST KIDS Koen Kuijken, Leiden - PowerPoint PPT Presentation

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Surveys with OmegaCAM / VST KIDS Koen Kuijken, Leiden

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w' (wiggles) Use scale of power spectrum wiggles as standard candle ... The challenges II. Lensing measurements with shapelets ... – PowerPoint PPT presentation

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Title: Surveys with OmegaCAM / VST KIDS Koen Kuijken, Leiden


1
Surveys with OmegaCAM / VSTKIDSKoen Kuijken,
Leiden
2
KIDS Kilo-Degree Survey
  • 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

3
KIDS(Leiden, Groningen, Munchen, Bonn, Paris,
Naples, Imperial, Edinburgh, Cambridge)
CFHLS
SDSS DR2
2dFGRS
  • Overlaps
  • UKIDSS
  • SDSS
  • 2dFGRS
  • CFHLS
  • COSMOS
  • 960 sq deg.

4
KIDS(Leiden, Groningen, Munchen, Bonn, Paris,
Naples, Imperial, Edinburgh, Cambridge)
2dFGRS
  • Overlaps
  • 2dFGRS
  • VISTA!
  • 720 sq deg.
  • Perfect for VLT and AAT, APEX, ALMA

5
Post-PSP field layout
6
Integration times, sensitivities
  • Use all moon phases, best 80 of seeing

filter Exp time (s) Medn seeing () 5-? 2 AB
u 900 1.0 24.8
g 900 0.75 25.4
r 1800 0.6 25.2
i 1080 0.75 24.2
z 2520 0.75 23.2
TOT 7200
lt0.7 (40) 0.7-0.85 (20) 0.85-1.1 (20)
Dark (50) r g u
Grey (15) i i i
Bright (35) z z z
VISTA
Wide-i
7
KIDS vs. SDSS
8
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-zs
(b/g), spectroscopic zs (lenses) Study effect by
galaxy type
9
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-zs!

10
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 rlt23.5 (20-? fluxes)
  • Photo-z accurate to 0.03(1z) (ugrizYJHK)
  • w(z0) to lt15 from KIDS
  • w(z1) to better accuracy

z0.6 z1.0 z1.4
Angular waveno. (deg-1)
11
Photo-z from KIDS/UKIDSS
rlt23.5 rlt24 rlt25
0ltzlt6 0ltzlt1.5
12
Typical SEDs (r24, redshift1)
  • KIDS ugriz
  • UKIDS YJHK

13
zgt6.4 QSOs
  • Combine with IR (UKIDSS, VISTA)
  • Look for IR objects faint in i or z
  • Find brown dwarfs and high-z QSOs
  • Expect 7 _at_ zgt6.4
  • Many fainter z5-6

14
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

15
The challenges II
  • Lensing measurements with shapelets
  • Photo-z matched-PSF and matched-aperture
    photometry for colors
  • Shapelets session at 3pm.

16
SUMMARY
  • 1700 sq.deg.
  • Equatorial strip UKIDSS / 2dFGRS area
  • South Galactic Pole 2dFGRS field VISTA!!
  • 5-band ugriz
  • 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,

17
Shears from shapelets
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