13 papers
The Degeneracy Distillery
T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey +1
When two or more parameters or labels produce similar data, they are degenerate, or hard to distinguish. Degeneracies render both label prediction and inverse problems difficult, s…
AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions
Raul Jimenez, Boris Bolliet, Francisco Villaescusa-Navarro +7
Agentic artificial intelligence (AI) systems are beginning to assist, accelerate, and partially automate scientific discovery, performing tasks that span literature synthesis, code…
Optimal marked statistics from the Effective Field Theory of Large Scale Structure
Marco Marinucci, Michele Liguori, Federico Semenzato +1
We present a simple and robust framework to assess the information content of the power spectrum of a marked density field within the Effective Field Theory of Large Scale Structur…
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics
J. Williamson, T. L. Makinen, N. Porqueres +85
We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…
Interpretable Neural Marked Statistics for Cosmological Inference
Federico Semenzato, Benjamin D. Wandelt, Michele Liguori +1
Recovering cosmological information beyond the power spectrum is a central goal for upcoming cosmological surveys, since late-time non-Gaussian signal in the matter density cannot…
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite
Adam Andrews, Jens Jasche, Guilhem Lavaux +10
Local primordial non-Gaussianity, parameterised as , will be stringently constrained using state-of-the-art methods applied to next-generation galaxy redshi…