We review the progress in modeling the galaxy population in hydrodynamical simulations of
the ΛCDM cosmogony. State-of-the-art simulations now broadly reproduce the observed …

In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

ABSTRACT We introduce the Virgo Consortium's FLAMINGO suite of hydrodynamical
simulations for cosmology and galaxy cluster physics. To ensure the simulations are …

Optimal extraction of the non-Gaussian information encoded in the large-scale structure of
the Universe lies at the forefront of modern precision cosmology. We propose achieving this …

Cosmological inference with large galaxy surveys requires theoretical models that combine
precise predictions for large-scale structure with robust and flexible galaxy formation …

We review the field of collisionless numerical simulations for the large-scale structure of the
Universe. We start by providing the main set of equations solved by these simulations and …

To fully take advantage of the data provided by large-scale structure surveys, we need to
quantify the potential impact of baryonic effects, such as feedback from active galactic nuclei …

We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS)
Multifield Data set (CMD), a collection of hundreds of thousands of 2D maps and 3D grids …

We train graph neural networks to perform field-level likelihood-free inference using galaxy
catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project. Our models …

We constrain the matter density Ωm and the amplitude of density fluctuations σ8 within the
ΛCDM cosmological model with shear peak statistics and angular convergence power …