From the 1 of 4 linked papers with an AI index.
4 papers
Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton
Cooper Jacobus, Beatriz Tucci, Oliver Philcox
The paper presents a Lagrangian Neural Cellular Automaton that learns residual corrections to the Zeldovich approximation, providing a fast, differentiable and accurate emulator of…
Field-level vs summaries: convergence of information in non-Gaussian density fields
Ivana Nikolac, Fabian Schmidt, Beatriz Tucci
We elucidate the sources of information gain in weakly non-Gaussian cosmological fields at the field- vs. summary-statistic-level in a controlled setting. Specifically, we compare…
Forward vs Backward: Improving BAO Constraints with Field-Level Inference
Ivana BabiÄ, Fabian Schmidt, Beatriz Tucci
We present results of field-level inference of the baryon acoustic oscillation (BAO) scale on rest-frame dark matter halo catalogs. Our field-level constraint on is obt…
Straightening the Ruler: Field-Level Inference of the BAO Scale with LEFTfield
Ivana BabiÄ, Fabian Schmidt, Beatriz Tucci
Current inferences of the BAO scale from galaxy clustering employ a reconstruction technique at fixed cosmology and bias parameters. Here, we present the first consistent joint Bay…