Detection and analysis of Cosmological Large-scale filaments

MERCHAN, MANUEL; PEREYRA, LUIS; STASYSZYN, FEDERICO; PEREYRA, LUIS; STASYSZYN, FEDERICO; SGRÓ, MARIO; PAZ, DANTE; SGRÓ, MARIO; PAZ, DANTE; MERCHAN, MANUEL

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

WILEY-BLACKWELL PUBLISHING, INC

Lugar: Londres; Año: 2020

0035-8711

The large-scale structure of the Universe is a complex network of mat-ter where filaments are the most tangled components. In this work, weidentify and analyse the properties of cosmic filaments assuming that theyare structures that connect the neighbouring critical points of the den-sity field. In other words, they form a network that joins the local densitymaxima. To extract filaments we develop a simple identification algorithmbased on two standard tools, the Minimal Spanning Tree (MST) and theFriends of Friends (FoF) algorithm. By focusing our analysis on the dens-est filaments, we found that the radial density profile, at scales around1h−1Mpc, approximately follow a power-law function with index -2.Furthermore, the large infall velocities from the low-density environ-ment approach perpendicular to the filaments and diverge towards theends. In this way and without any assumptions, we find a saddle point onthe filament spine which depends on the end masses, and show a consistentbehaviour with the density field. Following theoretical prescriptions, we es-timate the linear density from the transverse velocity dispersion, findinga good correspondence with the measured mass per unit of length of ourfilaments