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

7 Jun 2019Janis FluriTomasz KacprzakAurelien LucchiAlexandre RefregierAdam AmaraThomas HofmannAurel Schneider

Convolutional Neural Networks (CNN) 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... (read more)

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