Agustín Rodríguez-Medrano
Lagrangian bias model for cosmic voids
Cosmic voids are among the large-scale structures that hold the most cosmological information for exploration through cosmic tests. However, the relationship between galaxies and mass is a fundamental factor that must be modeled without any possible bias to fully exploit these environments for cosmology. In this work, we explore the Lagrangian perturbative bias expansion to describe biased tracers within the context of cosmic voids, aiming to study the precision of these models in characterizing void features.