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Comparing explicit likelihood and likelihood-free simulation-based inference for weak lensing cosmic shear
Simone Vinciguerra, Nicolas Martinet, Marco Gatti
Simulation-based inference (SBI) has become a major tool for extracting cosmological information from weak-lensing (WL) surveys, particularly from non-Gaussian observables. We comp…
Dimensionality Reduction Techniques for Statistical Inference in Cosmology
Minsu Park, Marco Gatti, Bhuvnesh Jain
We explore linear and non-linear dimensionality reduction techniques for statistical inference of parameters in cosmology. Given the importance of compressing the increasingly comp…
Improving Convolutional Neural Networks for Cosmological Fields with Random Permutation
Kunhao Zhong, Marco Gatti, Bhuvnesh Jain
Convolutional Neural Networks (CNNs) have recently been applied to cosmological fields -- weak lensing mass maps and galaxy maps. However, cosmological maps differ in several ways…