Advances in Weak Lensing Tomography: 3D and 2D Comparisons in Dark Energy Research
This overview discusses recent developments in weak lensing tomography, particularly comparing two-dimensional (2D) and three-dimensional (3D) approaches. Key topics include the significance of photometric redshifts and their uncertainties, intrinsic alignments, shear calibration, and the impact of cosmological parameters on weak lensing power spectra. The work draws on foundational principles outlined by Hu (1999) and explores recent studies addressing the complexities of dark energy and structure growth at low redshifts.
Advances in Weak Lensing Tomography: 3D and 2D Comparisons in Dark Energy Research
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Weak Lensing Tomography Sarah Bridle University College London
versus • 3d vs 2d (tomography) • Non-Gaussian -> higher order statistics • Low redshift -> dark energy
Weak Lensing Tomography • In principle (perfect zs) Hu 1999 astro-ph/9904153 • Photometric redshifts Csabai et al. astro-ph/0211080 • Effect of photometric redshift uncertainties Ma, Hu & Huterer astro-ph/0506614 • Intrinsic alignments • Shear calibration
1. In principle (perfect zs) • Qualitative overview • Lensing efficiency and power spectrum • Dependence on cosmology • Power spectrum uncertainties • Cosmological parameter constraints
1. In principle (perfect zs) Core reference • Hu 1999 astro-ph/9904153 See also • Refregier et al astro-ph/0304419 • Takada & Jain astro-ph/0310125
(Hu 1999) Lensing efficiency Equivalently: gi(zl) = ∫zl ni(zs) Dl Dls / Ds dzs i.e. g is just the weighted Dl Dls / Ds
(Hu 1999) Can you sketch g1(z) and g2(z)? gi(z) = ∫ zs ni(zs) Dl Dls / Ds dzs
(Hu 1999) Why is g for bin 2 higher? • More structure along line of sight • Distances are larger gi(zd) = ∫ zs1 ni(zs) Dd Dds / Ds dzs
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(Hu 1999) Lensing power spectrum
(Hu 1999) Lensing power spectrum Equivalently: Pii(l) = ∫ gi(zl)2 P(l/Dl,z) dDl/Dl2 i.e. matter power spectrum at each z, weighted by square of lensing efficiency
(Hu 1999) Measurement uncertainties • <2int>1/2 = rms shear (intrinsic + photon noise) • ni = number of galaxies per steradian in bin i Cosmic Variance Observational noise
Dependence on cosmology Refregier et al SNAP3 A. m = 0.35 w=-1 B. m = 0.30 w=-0.7 ? ?
Approximate dependence • Increase 8→A. P↓ B. P↑ • Increase zs →A. P↓ B. P↑ • Increase m →A. P↓ B. P↑ • Increase DE (K=0) →A. P↓ B. P↑ • Increase w →A. P↓ B. P↑ Huterer et al
Effect of increasing w on P • Distance to z • A. Decreases B. Increases
Fainter Accelerating m =1, no DE Decelerating (m =1, DE=0) == (m = 0.3, DE = 0.7, wDE=0) Perlmutter et al.1998 Further away
w=-1 Fainter, further EdS OR w=0 Brighter, closer Perlmutter et al.1998
Effect of increasing w on P • Distance to z • A. Decreases B. Increases • When decrease distance, lensing effect decreases • Dark energy dominates • A. Earlier B. Later
Effect of increasing w on P • Distance to z • A. Decreases B. Increases • When decrease distance, lensing decreases • Dark energy dominates • A. Earlier B. Later • Growth of structure • A. Suppressed B. Increased • Lensing A. Increases B. Decreases • Net effects: • Partial cancellation <-> decreased sensitivity • Distance wins
Approximate dependence • Increase 8→A. P↓ B. P↑ • Increase zs →A. P↓ B. P↑ • Increase m →A. P↓ B. P↑ • Increase DE (K=0) →A. P↓ B. P↑ • Increase w →A. P↓ B. P↑ Huterer et al
Approximate dependence • Increase 8→A. P↓ B. P↑ • Increase zs →A. P↓ B. P↑ • Increase m →A. P↓ B. P↑ • Increase DE (K=0) →A. P↓ B. P↑ • Increase w →A. P↓ B. P↑ Huterer et al Note modulus
Which is more important?Distance or growth? Simpson & Bridle
Dependence on cosmology Refregier et al SNAP3 A. m = 0.35 w=-1 B. m = 0.30 w=-0.7 ? ?
(Hu 1999) See Heavens astro-ph/0304151 for full 3D treatment (~infinite # bins)
(Hu 1999) Parameter estimation for z~2