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Starlet l1-norm for weak lensing cosmology
We present a new summary statistic for weak lensing observables, higher than second order, suitable for extracting non-Gaussian cosmological information and inferring cosmological parameters.
Cosmology and Nongalactic Astrophysics
On the dissection of degenerate cosmologies with machine learning
Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive neutrinos.
Distinguishing standard and modified gravity cosmologies with machine learning
We present a convolutional neural network to identify distinct cosmological scenarios based on the weak-lensing maps they produce.
Cosmology and Nongalactic Astrophysics
