Connecting bias and the cosmic web

Antonio D. Montero-Dorta

Galaxies form and evolve within a complex network of filaments and sheets connecting knots, and separated by empty regions or voids. A variety of methods have been developed to observationally identify and characterize these cosmic structures, allowing astronomers to study the dependence of the properties of galaxies on their local and large-scale environments. On
the cosmology side, clustering measurements are employed to analyze the intricacies of the spatial distribution of galaxies, from which information on the underlying matter density field can be retrieved. In this talk, I will address the connection between clustering and the cosmic web, using both hydrodynamical simulations and observational data, and a variety of statistical techniques. In particular, I will focus on how galaxy and halo bias depends on the exact location of objects within the cosmic web, and how their position is related to effects such as assembly bias.

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