Search Results for author: Valeria Pettorino

Found 3 papers, 0 papers with code

Starlet l1-norm for weak lensing cosmology

no code implementations5 Jan 2021 Virginia Ajani, Jean-Luc Starck, Valeria Pettorino

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

Distinguishing standard and modified gravity cosmologies with machine learning

no code implementations25 Oct 2018 Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino, Julian Merten, Carlo Giocoli, Massimo Meneghetti, Marco Baldi

We present a convolutional neural network to identify distinct cosmological scenarios based on the weak-lensing maps they produce.

Cosmology and Nongalactic Astrophysics

On the dissection of degenerate cosmologies with machine learning

no code implementations25 Oct 2018 Julian Merten, Carlo Giocoli, Marco Baldi, Massimo Meneghetti, Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino

Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive neutrinos.

BIG-bench Machine Learning General Classification +1

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