A continuous parameterization of the cosmic web
C. Yamila Yaryura, Mario G. Abadi, Noam I. Libeskind, Stefan Gottlöber, Sofía A. Cora, Gustavo Yepes
TL;DR
The paper tackles the environment–galaxy connection by replacing discrete cosmic web classifications with a continuous description derived from Hessian eigenvalue ratios of the matter density field. Using a DM-only run (smdpl) coupled to the SAG semi-analytic model, it computes the eigenvalues $a\ge b\ge c$ from the tidal field and analyzes environment via $b/a$ and $c/a$ (without relying on a fixed $\lambda_{\rm th}$). The key findings show a continuous distribution of eigenvalue ratios and that $c/a$ provides the strongest environmental signal, correlating with galaxy properties such as color, sSFR, and gas fraction, and revealing transitions around characteristic halo masses. This threshold-free framework is robust to smoothing scales and complements traditional classifications, with clear potential for applying similar analyses to observations once tidal fields can be reconstructed from survey data via DM density and velocity fields.
Abstract
The intrinsic properties of galaxies are influenced by their environments, underscoring the environment's critical role in galaxy formation and evolution. Traditionally, these environments are categorized into four fixed classifications: knots, filaments, walls, and voids, which collectively describe the complex organization of galaxies within large-scale structures. We propose an alternative description that complements the traditional quadripartite categorization by introducing a continuous framework, allowing for a more nuanced examination of the relationship between the intrinsic properties of galaxies and their environments. This complementary description is applied using one of the most prevalent methodologies: categorization using the eigenvalues of the Hessian matrix extracted from the matter density field. We integrated our findings into a semi-analytical model of galaxy formation, combined with cosmological numerical simulations, to analyze how the intrinsic properties of galaxies are influenced by environmental changes. In our study, we find a continuous distribution of eigenvalue ratios, revealing a clear dependence of galaxy properties on their surrounding environments. This method allowed us to identify critical values at which transitions in the behavior of key astrophysical galaxy properties become evident.
