First results from the IllustrisTNG simulations: matter and galaxy clustering

By Volker Springel, Rüdiger Pakmor, A. Pillepich, R. Weinberger, D. Nelson, L. Hernquist, M. Vogelsberger, Shy Genel, P. Torrey, F. Marinacci and 8 more. 2017

1,018 citations recorded by the source corpus.

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 galaxy colour, apart from a mild excess in the clustering of red galaxies in the stellar mass range 10^9-10^10 Msun/h^2. Given this agreement, the TNG simulations can make valuable theoretical predictions for the clustering bias of different galaxy samples. We find that the clustering length of the galaxy auto-correlation function depends strongly on stellar mass and redshift. Its power-law slope gamma is nearly invariant with stellar mass, but declines from gamma ~ 1.8 at redshift z=0 to gamma ~ 1.6 at redshift z ~ 1, beyond which the slope steepens again. We detect significant scale-dependencies in the bias of different observational tracers of large-scale structure, extending well into the range of the baryonic acoustic oscillations and causing nominal (yet fortunately correctable) shifts of the acoustic peaks of around ~5%.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/cb3857dbf34cfbeebcd3614ee516e23f49b2e80f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. L. Hernquist
2. Volker Springel
3. P. Hopkins
4. M. Vogelsberger
5. Shy Genel
6. P. Torrey
7. D. Nelson
8. F. Marinacci

In Instrumentation

1. L. Hernquist
2. Volker Springel
3. M. Vogelsberger
4. Shy Genel
5. P. Hopkins
6. D. Nelson
7. P. Torrey
8. F. Marinacci

Citations in the corpus

• simba: Cosmological simulations with black hole growth and feedback (2019, background): “(iv) Illustris-TNG uses, at maximum, 200% of the AGN bolometric luminosity (assuming a 10% radiative efficiency), whereas for our model, the maximum is approximately a third of the bolometric luminosity.”
• Quantifying baryon effects on the matter power spectrum and the weak lensing shear correlation (2018, methodology): “8) and results from hydrodynamical simulations with AGN feedback [6, 10–13, 60].”
• Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data (2018, methodology): “…matter power spectrum has also been investigated using other state-of-the-art simulations with baryonic physics fully implemented, including the EAGLE simulation (Hellwing et al. 2016), the IllustrisTNG simulations (Springel et al. 2018), and the Horizon set of simulations (Chisari et al. 2018).”
• Ingredients for 21 cm Intensity Mapping (2018, methodology): “These trends agree with the findings of Springel et al. (2017), who studied galaxy bias for different galaxy populations at different redshifts.”
• Core Cosmology Library: Precision Cosmological Predictions for LSST (2018, background): “…of matter, which is known to exceed the per cent level at scales k & 1 Mpc−1 (van Daalen et al. 2011; Vogelsberger et al. 2014; Hellwing et al. 2016; Springel et al. 2017; Chisari et al. 2018) and can affect the extraction of cosmological parameters (Semboloni et al. 2011, 2013; Mohammed & Seljak…”
• CMB-S4 Science Case, Reference Design, and Project Plan (2019, neutral): “[396, 397], EAGLE [398], and IllustrisTNG-300 [399, 400, 401].”
• The star formation activity of IllustrisTNG galaxies: main sequence, UVJ diagram, quenched fractions, and systematics (2018, background): “…star formation activity of galaxies produced in the state-ofthe-art cosmological magneto-hydrodynamical simulations of The Next Generation Illustris project (hereafter IllustrisTNG or TNG: Naiman et al. 2018; Marinacci et al. 2018; Springel et al. 2018; Pillepich et al. 2018b; Nelson et al. 2018a).”
• The optical morphologies of galaxies in the IllustrisTNG simulation: a comparison to Pan-STARRS observations (2018, methodology): “…images from the state-of-the-art IllustrisTNG simulation (Marinacci et al. 2018; Naiman et al. 2018; Nelson et al. 2018; Pillepich et al. 2018b; Springel et al. 2018) using the radiative transfer code SKIRT (Baes et al. 2011; Camps & Baes 2015), designing them to match observations of…”
• Cosmological constraints from cosmic shear two-point correlation functions with HSC survey first-year data (2019, methodology): “…the baryonic effects based on other state-of-the- art simulations including the EAGLE simulation (Hellwing et al. 2016), the IllustrisTNG simulations (Springel et al. 2018), and the Horizon set of simulations (Chisari et al. 2018) have a smaller effect on the matter power spectrum than the OWLS…”
• First results from the TNG50 simulation: galactic outflows driven by supernovae and black hole feedback (2019, methodology): “The IllustrisTNG project (Pillepich et al. 2018b; Naiman et al. 2018; Nelson et al. 2018a; Marinacci et al. 2018; Springel et al. 2018) is a recent addition to this class of simulation.”