First results from the IllustrisTNG simulations: matter and galaxy clustering
Volker Springel (1, 2), R\"udiger Pakmor (1), Annalisa Pillepich, (3), Rainer Weinberger (1), Dylan Nelson (4), Lars Hernquist (5), Mark, Vogelsberger (6), Shy Genel (7, 8), Paul Torrey (6), Federico Marinacci, (6), Jill Naiman (5) ((1) HITS, (2) Heidelberg University, (3) MPIA

TL;DR
This paper presents results from the IllustrisTNG hydrodynamical simulations, analyzing matter and galaxy clustering across scales, and compares the findings with observations, revealing baryonic effects and bias scale-dependencies.
Contribution
It provides the first detailed analysis of clustering in the IllustrisTNG simulations, including baryonic effects and bias predictions, with good agreement to SDSS data.
Findings
Baryonic effects increase small-scale dark matter clustering.
Galaxy correlation functions match SDSS observations at z~0.1.
Clustering bias shows significant scale-dependencies affecting BAO measurements.
Abstract
Hydrodynamical simulations of galaxy formation have now reached sufficient volume to make precision predictions for clustering on cosmologically relevant scales. Here we use our new IllustrisTNG simulations to study the non-linear correlation functions and power spectra of baryons, dark matter, galaxies and haloes over an exceptionally large range of scales. We find that baryonic effects increase the clustering of dark matter on small scales and damp the total matter power spectrum on scales up to k ~ 10 h/Mpc by 20%. The non-linear two-point correlation function of the stellar mass is close to a power-law over a wide range of scales and approximately invariant in time from very high redshift to the present. The two-point correlation function of the simulated galaxies agrees well with SDSS at its mean redshift z ~ 0.1, both as a function of stellar mass and when split according to…
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