Cosmological constraints with deep learning from KiDS-450 weak lensing maps

PHYSICAL REVIEW D, 2019.

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The cosmological constraints in the Ωm − σ8 plane obtained with our networks and the tomographic power spectrum analysis are shown in the left panel of figure 8 and a comparison of our constraints to previous work is shown in the right panel of figure 8

Abstract:

Convolutional neural networks (CNNs) have recently been demonstrated on synthetic data to improve upon the precision of cosmological inference. In particular, they have the potential to yield more precise cosmological constraints from weak lensing mass maps than the two-point functions. We present the cosmological results with a CNN from ...More

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