gravitational lensing
DESCRIPTION
Apparent position 2. True position 2. Apparent Position 1. True Position 1. Observer. Gravitational lens. “Looking into” the lens: extended objects are tangentially distorted. Gravitational Lensing. See the same effects that occur in more familiar optical - PowerPoint PPT PresentationTRANSCRIPT
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Gravitational LensingSee the same effects that occur in more familiar optical circumstances: magnification and distortion (shear)
“Looking into” the lens: extended objects are tangentially distorted...
Objects farther fromthe line of sight are distorted less.
Gravitational lens
True Position 1
Apparent Position 1True position 2
Apparent position 2
Observer
Lensing conserves surface brightness: bigger image magnified
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Gravitational Lensing by Clusters
Strong Lensing
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Deep images: WL reconstrution of Cluster Mass Profile
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Lensing Cluster
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SourceLensing Cluster
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Image
Lensing ClusterSource
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Image
Lensing ClusterSource
Tangential shear
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Statistical Weak Lensing by Galaxy Clusters
Mean Tangential Shear Profile in Optical Richness (Ngal) Bins to
30 h-1Mpc
Sheldon,
Johnston, etal
SDSS
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Statistical Weak Lensing by Galaxy Clusters
Mean Tangential Shear Profile in Optical Richness (Ngal) Bins to
30 h-1Mpc
Johnston,
Sheldon, etal
SDSS
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Mean 3D
Cluster
Mass
Profile
from
Statistical
Lensing
Johnston,
etal
Virial mass
NFW
fit
2-halo term
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Statistical Weak Lensing CalibratesCluster Mass vs. Observable Relation
Cluster Massvs. Number of galaxies they contain
Future:use this to independently calibrate, e.g., SZE vs. Mass
Johnston, Sheldon, etal
Statistical Lensing eliminates projection effectsof individual cluster massEstimates
~50% scatter in mass vs optical richness
SDSS Dataz<0.3
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Observer
Dark matter halos
Background sources
Statistical measure of shear pattern, ~1% distortion Radial distances depend on geometry of Universe Foreground mass distribution depends on growth of structure
Weak Lensing: Cosmic Shear
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Gravitational Lensing A simple scattering experiment:
Observer Galaxy cluster/lens Background source
iidrdrtadtds )21)(()21( 222 Φ−+Φ+−=
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S
L O
s
I
Gravitational Lensing
Lens equation:
The deflection is sensitive to all mass, luminous or dark. Thus, lensing probes the dark matter halos of distant galaxiesand clusters.
€
rS =
r θ I −
DLSA
DOSA
r α ,
r α =∇Ψ, ∇ 2Ψ = 2
Σ
Σcrit
≡ 2κ
Amplification Matrix :
∂θSi
∂θ Ij
= Aij =1−κ − γ1 −γ 2
−γ 2 1−κ + γ1
⎛
⎝ ⎜
⎞
⎠ ⎟
γ1 = ∂ 2Ψ /∂θ12 −∂ 2Ψ /∂θ2
2 , γ 2 = ∂12Ψ
Amplification : A = (det Aij )−1
Shear : γ = (γ12 + γ 2
2)1/ 2
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Weak lensing: shear and mass
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Reducing WL Shear Systematics
Red: expected signal
Results from 75 sq. deg. WLSurvey with Mosaic II and BTCon the Blanco 4-mJarvis, etal
(improved systematic)
(signal)
(old systematic)
Cosmic Shear
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Lensing Tomography
Shear at z1 and z2 given by integral of growth function &
distances over lensing mass distribution.
z1
z2
zl1
lensing mass
zl2
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Weak Lensing Tomography
• Shear-shear & galaxy-shear correlations probe distances & growth rate of perturbations
• Galaxy correlations determine galaxy bias priors• Statistical errors on shear-shear correlations:
• Requirements: Sky area, depth, photo-z’s, image quality & stability
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•Cosmic Shear Angular Power Spectrum in Photo-z Slices
•Shapes of ~300 million well-resolved galaxies, z = 0.7
•Primary Systematics:photo-z’s, PSF anisotropy, shear calibration
•Extra info in bispectrum & galaxy-shear: robust
Weak Lensing Tomography: DES
DES WL forecasts conservatively assume 0.9” PSF = median delivered to existing Blanco camera: DES should do better & be more stable
Statistical errorsshown
DES WL forecasts conservatively assume 0.9” PSF = median delivered to existing Blanco camera: DECam should do better & be more stable
Huterer etal
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Theory Uncertainty in P(k) and WL
WL data can be used
to self-calibrate baryon
impact
Zentner, Rudd, Hu, Kravtsov
Residual of the shear convergence power spectrum relative to simulation with dark matter only
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Weak Lensing & Photo-z Systematics
Ma
(w0)/(w0|pz fixed) (wa)/(wa|pz fixed)
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Weak Lensing Systematics: Anisotropic PSF
• Whisker plots for three BTC camera exposures; ~10% ellipticity
• Left and right are most extreme variations, middle is more typical.
• Correlated variation in the different exposures: PCA analysis -->
can use stars in all the images: much better PSF interpolation
Focus too low Focus (roughly) correct Focus too high
Jarvis and Jain
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PCA Analysis: Improved Systematics Reduction
• Remaining ellipticities are essentially uncorrelated.• Measurement error is the cause of the residual shapes.• 1st improvement: higher order polynomial means PSF accurate to smaller scales• 2nd: Much lower correlated residuals on all scales!
Focus too low Focus (roughly) correct Focus too high
Jarvis and Jain