A convolutional neural network estimates cosmological parameters from simulated weak lensing convergence maps in an unbiased way. The network analysis motivates a new and robust convergence peak-counting algorithm based on the steepness of peak heights.
- Dezső Ribli
- Bálint Ármin Pataki
- István Csabai
