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STEP: THE SHEAR TESTING PROGRAMME

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Title: STEP: THE SHEAR TESTING PROGRAMME


1
STEPTHE SHEAR TESTING PROGRAMME
  • Konrad Kuijken
  • Leiden

2
Gravitational shear
  • Gradient of deflection ? coherent distortions of
    galaxy shapes

e1e cos(2 PA) e2e sin(2 PA)
3
Accurate shear measurements
  • Weak lensing measures
  • Power spectrum
  • Cluster abundance
  • Light-mass correlation
  • Why precision?
  • Trace growth of structure (cosmology probe)
  • Dark matter/galaxy connection
  • Halo shapes

4
Growth of structure
  • Subtle tracer of expansion history

5
Lensing vs distance
  • Lens bending angle depends on distance
  • Integral measurement of mass distribution along
    sightline
  • ?? ? (Dls / Ds)
  • Tomography needed

6
Requirements
  • High fidelity shear measurement
  • Well-controlled distance measurements (understand
    errors in redshifts)
  • Accurate predictions of power spectrum
  • Matter power spectrum
  • Consequent shear power spectrum

7
Measuring shear
  • Galaxies randomly oriented
  • Shear introduces a bias in orientation and
    ellipticity
  • Try to detect the observed shape of intrinsically
    round galaxy

8
Averaging ellipticities
  • Shear ell. of intrinsically round galaxy
  • Response of ellipticity to shear depends on
    ellipticity
  • Extreme example e11 ? e11 under any ?1
  • Ring response

e2
e1
9
Measuring galaxy ellipticity
  • Intrinsic shape is altered by
  • Lensing shear
  • PSF smearing
  • Pixellation (boxcar smoothingsubsampling)
  • Noise
  • Some of the information loss irretrievable
  • Sub-pixel information
  • Photon noise

10
Ideally
  • Measure 2nd moments of light distribution
  • ltx2gt, ltxygt, lty2gt
  • Subtract PSF 2nd moments
  • Form ellipticity
  • (Ixx-Iyy, 2Ixy)
  • Alas

11
Techniques
  • Ellipticity from
  • Weighted 2nd moments
  • Model fitting
  • PSF / pixellation correction from
  • Model fitting of PSF effect
  • Weighted 2nd moments
  • Pre-smoothing images with kernel

12
Kaiser, Squires, Broadhurst 95
  • Weighted 2nd moments
  • Gaussian wt. function
  • PSF correction 2 stages
  • PSF anisotropy correction
  • Assumes anisotropic part of PSF is compact
  • Polarizability depends on 4th weighted moments
  • PSF circularization correction (LK97)
  • Very succesful, but imperfect
  • Very good for Gaussian PSF

? dx dy x2 W(r) I(x,y)
13
KSB PSF model
  • Compact anisotropic core ? circular PSF
  • Gaussian OK
  • (separable in x,y)
  • Moffat func not OK
  • Radial PSF profile implicitly determines
    ellipticity profile


?

?
14
The weight function
Hoekstra et al. 1998
KSB formalism works for any Gaussian wt.
function. Pick one that is optimal for S/N
  • Radius of PSF weight function matters if
    ellipticity of PSF depends on radius
  • Empirically, best results for radius that matches
    galaxy

15
Direct modelling
  • Model sources as full PSF ? elliptical model
  • Read off ellipticity
  • Different galaxy models
  • Multiple elliptical Gaussians (KK99, Bridle
    Im2shape)
  • Shapelets series (Refregier et al, Massey et al,
    KK06)
  • Sheared shapelets (Bernstein Jarvis)
  • Diskbulge models (Mandelbaum et al)

16
Stacking
  • Average galaxy is intrinsically round
  • Stack observed sources
  • Write as sheared round source ? PSF
  • Characterized by single ellipticity and radial
    brightness profile
  • Subtlety centroid errors
  • Extra smearing term. Not necessarily isotropic!

17
Shapelets
  • Direct modelling of PSF and sources as Gaussians
    x polynomials (QHO!)
  • Ellipticity measurement and PSF effects analytic
  • Model a galaxy as
  • PSF ? 1?1 S1?2 S2 ? C
  • All operations linear, matrix multiplications of
    shapelet coefficients.

18
Shapelets
  • PRO
  • Shapelet coeffs replace pixels (compression)
  • Error propagation simple
  • Simple combinations of coeffs. mimic weighted
    moments
  • Can be extended to flexions
  • CON
  • Galaxies are not Gaussian!

19
Sech-shapelets
Gaussian ? poly
Sech ? poly
(radial orders 0,2,4,6,8,10)
20
Many methods!
21
STEP
  • Confront all methods and software with uniform
    datasets
  • Large enough to draw significant conclusions on
    accuracy
  • Blind simulations
  • Involve most of the community
  • Meet regularly to discuss progress

22
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23
STEP 1Heymans et al 2005
  • CFHT-like simulations (single colour)
  • Skymaker, Van Waerbeke
  • Galaxies exp. disk de Vauc bulge
  • Random orientations, axis ratio distribution
  • Stars added into the images
  • 100,000 galaxies per PSF/shear set (30 sets)
  • Task
  • Model PSF
  • Deduce average shear in the images
  • End-to-end pipeline tests

24
STEP1 Results
  • 6 different PSF types
  • (CFHT coma, astigm., defocus, m3, m4)
  • 5 sets of images, shears
  • ?10, 0.005, 0.01, 0.05, 0.1
  • Quantify results as
  • ?out (1m) ?in c

25
STEP1 Results
  • 7 calibration bias
  • Good PSF anisotropy correction

26
STEP1 Results
  • Some unexplained trends with magnitude
  • Noise effect?
  • Driven by size-mag relation in simulation?
  • Polarizability error (Kaiser flow)?

27
STEP2Massey et al 2006
  • More complex galaxies
  • Shapelet reconstructions
  • Evolving galaxy pop
  • More complex PSF
  • suppress shape noise artificially
  • Include each galaxy with 2 PA, 90 deg apart (i.e.
    at (e1,e2) and (-e1,-e2) )

28
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29
STEP2 Results
  • All improved! 1-2 calibration errors

30
STEP3
  • Space-like PSFs
  • Investigate subsampling (pixel size)
  • Very non-Gaussian PSFs (ACS SNAP - like)
  • Results under analysis.

31
STEP4
  • Back to Basics
  • Take out effects of
  • Source detection
  • Source overlap
  • Star/galaxy separation
  • FWHM 1.4 (gals), 0.7 (PSF), 0.2 pixels
  • Simulations of grids of galaxies, 32 different
    shears, enough galaxies to get statistical error
    on measured m, c parameters down to 0.001
  • Blind analysis

32
STEPWEB
  • http//www.physics.ubc.ca/heymans/step.html

33
Outstanding issues
  • Colour effects
  • PSF SED different from galaxies
  • Ellipticity-dependent selection bias
  • Pixel noise correlations
  • Non-linear shear effects?
  • 2nd order light bending

34
2nd order light bending
  • Failure of single lens plane approx.
  • Eg singular isothermal sphere
  • 1st order
  • 2nd order accel. bigger by 1O(?)
  • At most 10-3 effect, usually much smaller

? b/2
b
? c
35
Multiple lens planes
  • 2 deflections at different z

1arcsec
5kpc
1Gpc
36
Further steps ( STEPs)
  • Key issues
  • Modelling PSF accurately, including interpolation
  • Source selection independent of intrinsic
    ellipticity
  • Propagating errors covariances
  • PSF Gaussianization KSB how far will it get
    you?
  • Photo-z accuracy experiment (PACE) ?
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