Simulating the joint evolution of quasars, galaxies and their large-scale distribution

By Volker Springel, Simon D. M. White, Adrian Jenkins, Carlos S. Frenk, Naoki Yoshida, Liang Gao, J. Navarro, R. Thacker, Darren Croton, John C. Helly and 16 more. 2005

567 citations recorded by the source corpus.

The cold dark matter model has become the leading theoretical paradigm for the formation of structure in the Universe. Together with the theory of cosmic inﬂation, this model makes a clear prediction for the initial conditions for structure formation and predicts that structures grow hierarchically through gravitational instability. Testing this model requires that the precise measurements delivered by galaxy surveys can be compared to robust and equally precise theoretical calculations. Here we present a novel framework for the quantitative physical interpretation of such surveys. This combines the largest simulation of the growth of dark matter structure ever carried out with new techniques for following the formation and evolution of the visible components. We show that baryon-induced features in the initial conditions of the Universe are reﬂected in distorted form in the low-redshift galaxy distribution, an effect that can be used to constrain the nature of dark energy with next generation surveys. This document provides supplementary information for the above article in Nature. We detail the physical model used to compute the galaxy population, and give a short summary of our simulation method. Where appropriate, we give further references to relevant literature for our methodology.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/369f41092ca360f87750d8c46abb0ffb2fc1b69f

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

In Instrumentation

Citations in the corpus

H0LiCOW – IX. Cosmographic analysis of the doubly imaged quasar SDSS 1206+4332 and a new measurement of the Hubble constant (2018, methodology): “To construct the mock data, we use the Millennium Simulation (Springel et al. 2005, hereafter MS), which consists of simulated dark matter halos in a cosmologically representative volume.”
The Mass Relations between Supermassive Black Holes and Their Host Galaxies at 1 < z < 2 with HST-WFC3 (2019, background): “…formation are able to reproduce the mean local correlations, possibly by invoking active galactic nucleus (AGN) feedback as the physical connection(Springel et al. 2005; Di Matteo et al. 2008; Hopkins et al. 2008; DeGraf et al. 2015) or having them share a common gas supply(Cen 2015; Menci et al.…”
A Redshift-independent Efficiency Model: Star Formation and Stellar Masses in Dark Matter Halos at z ≳ 4 (2018, methodology): “The color volume was evolved from z = 127 to z = 0 using p-gadget-3 (Springel et al. 2008), an updated version of the publicly-available gadget-2 code (Springel et al. 2001b, 2005).”
Dark matter direct-detection experiments (2015, methodology): “These simulations [6][7][8] propagate particles using super computers aiming to describe the structure growth, producing a cosmic web ranging from ∼ 10 kpc objects to the largest scales.”
General relativity and cosmic structure formation (2015, unknown): “Abstract Numerical simulations are a versatile tool providing insight into the complicated process of structure formation in cosmology [1].”
Sensitivity projections for dark matter searches with the Fermi large area telescope (2016, background): “A more robust understanding of the DM halo mass function and its redshift evolution comes from N-body cosmological simulations [217, 218].”