The detection of the accelerated expansion of the Universe has been one of the major
breakthroughs in modern cosmology. Several cosmological probes (Cosmic Microwave …

Abstract The Nancy Grace Roman Space Telescope will conduct a High Latitude
Spectroscopic Survey (HLSS) over a large volume at high redshift, using the near-IR grism …

We train deep-learning models on thousands of galaxy catalogs from the state-of-the-art
hydrodynamic simulations of the Cosmology and Astrophysics with MachinE Learning …

The dependence of galaxy clustering on local density provides an effective method for
extracting non-Gaussian information from galaxy surveys. The two-point correlation function …

We review the neutrino science, focusing on its impact on cosmology along with the latest
constraints on its mass and number of species. We also discuss its status as a possible …

Abstract The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS)
project was developed to combine cosmology with astrophysics through thousands of …

We present the first cosmological constraints derived from the analysis of the void size
function. This work relies on the final Baryon Oscillation Spectroscopic Survey (BOSS) Data …

We present GIGANTES, the most extensive and realistic void catalog suite ever released—
containing over 1 billion cosmic voids covering a volume larger than the observable …

Marked power spectra are two-point statistics of a marked field obtained by weighting each
location with a function that depends on the local density around that point. We consider …

The bias of dark matter halos and galaxies is a crucial quantity in many cosmological
analyses. In this work, using large cosmological simulations, we explore the halo mass …