Speaker
Description
The large-scale distribution of matter in the Universe is organized into a complex network known as the cosmic web, where filaments act as the primary bridges for mass transport and connectivity between clusters. This work proposes a characterization of the filamentary network using the Quijote suite of n-body simulations, which allows for the exploration of a wide range of cosmological models. Structure identification is performed using the DisPerSE (Discrete Persistent Structures Extractor) algorithm, based on Morse theory, enabling a robust and multiscale extraction of the cosmic web skeleton. The primary focus of this analysis is the survey of the geometric properties of filaments, investigating how these metrics are affected by different cosmological parameter configurations and redshifts. This study aims to establish filament statistics as a complementary observable to traditional large-scale structure analysis methods, contributing to a deeper understanding of the influence of background cosmology on the evolution of the cosmic web.