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The Average Star Formation Histories of Galaxies in Dark Matter Halos from z = 0-8

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TLDR
In this paper, the authors present a robust method to constrain average galaxy star formation rates, star formation histories, and the intracluster light as a function of halo mass.
Abstract
We present a robust method to constrain average galaxy star formation rates, star formation histories, and the intracluster light as a function of halo mass. Our results are consistent with observed galaxy stellar mass functions, specific star formation rates, and cosmic star formation rates from z=0 to z=8. We consider the effects of a wide range of uncertainties on our results, including those affecting stellar masses, star formation rates, and the halo mass function at the heart of our analysis. As they are relevant to our method, we also present new calibrations of the dark matter halo mass function, halo mass accretion histories, and halo-subhalo merger rates out to z=8. We also provide new compilations of cosmic and specific star formation rates; more recent measurements are now consistent with the buildup of the cosmic stellar mass density at all redshifts. Implications of our work include: halos near 10^12 Msun are the most efficient at forming stars at all redshifts, the baryon conversion efficiency of massive halos drops markedly after z ~ 2.5 (consistent with theories of cold-mode accretion), the ICL for massive galaxies is expected to be significant out to at least z ~ 1-1.5, and dwarf galaxies at low redshifts have higher stellar mass to halo mass ratios than previous expectations and form later than in most theoretical models. Finally, we provide new fitting formulae for star formation histories that are more accurate than the standard declining tau model. Our approach places a wide variety of observations relating to the star formation history of galaxies into a self-consistent framework based on the modern understanding of structure formation in LCDM. Constraints on the stellar mass-halo mass relationship and star formation rates are available for download at this http URL .

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Citations
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Journal ArticleDOI

The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores

TL;DR: In this paper, the authors present a new algorithm for identifying dark matter halos, substructure, and tidal features based on adaptive hierarchical refinement of friends-of-friends groups in six phase-space dimensions and one time dimension.
Journal ArticleDOI

Coevolution (Or Not) of Supermassive Black Holes and Host Galaxies

TL;DR: In this article, the observed demographics and inferred evolution of supermassive black holes (BHs) found by dynamical modeling of spatially resolved kinematics are reviewed and a richer and more plausible picture in which BHs correlate differently with different galaxy components.
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The AGORA High-Resolution Galaxy Simulations Comparison Project

TL;DR: AGORA as discussed by the authors is a comprehensive numerical study of well-resolved galaxies within the LCDM cosmology, which is run with a variety of code platforms to follow the hierarchical growth, star formation history, morphological transformation, and the cycle of baryons in and out of 8 galaxies with halo masses M_vir ~= 1.7e11, 1.1e10, 1e11 and 1e12.
Journal ArticleDOI

On the redshift evolution (0 < z < 4) of dust attenuation and of the total (UV+IR) star formation rate density

TL;DR: In this article, a complete view of star formation from the local universe to z = 4 was provided, using assumptions on earlier star formation history, comparing this evolution to what was known before in an attempt to draw a homogeneous picture of the global evolution of star creation in galaxies.
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Disentangling satellite galaxy populations using orbit tracking in simulations

TL;DR: In this article, the authors use the time since crossing within 2.5 rvir of the cluster center to estimate the probability density over a range of this parameter given a set of present-day projected (i.e. observable) phase space coordinates.
References
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Journal ArticleDOI

Galactic star formation and accretion histories from matching galaxies to dark matter haloes

TL;DR: In this article, a multi-epoch abundance matching (MEAM) model was proposed to determine the relationship between the stellar masses of galaxies and the masses of their host dark matter haloes over the entire cosmic history from z � 4 to the present.
Journal ArticleDOI

The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores

TL;DR: In this paper, the authors present a new algorithm for identifying dark matter halos, substructure, and tidal features based on adaptive hierarchical refinement of friends-of-friends groups in six phase-space dimensions and one time dimension.
Journal ArticleDOI

A magnified young galaxy from about 500 million years after the Big Bang

TL;DR: In this paper, the authors report multiband observations of the cluster MACS J1149+2223 that have revealed (with high probability) a gravitationally magnified galaxy from the early Universe, at a redshift of z = 9.6 − 0.2 (that is, a cosmic age of 490 − 15 million years, or 3.6 per cent of the age of the Universe).
Journal ArticleDOI

The Connection between Galaxies and Dark Matter Structures in the Local Universe

TL;DR: In this article, the authors provide new constraints on the connection between galaxies in the local universe, identified by the Sloan Digital Sky Survey (SDSS), and dark matter halos and their constituent substructures in the WMAP7 cosmological parameters.
Journal ArticleDOI

The MultiDark Database: Release of the Bolshoi and MultiDark Cosmological Simulations

TL;DR: The online MultiDark Database -- a Virtual Observatory-oriented, relational database for hosting various cosmological simulations is presented, which is further proof of the viability to store and present complex data using relational database technology.
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What is the rate of star formation in the Milky Way?

Our results are consistent with observed galaxy stellar mass functions, specific star formation rates (SSFRs), and cosmic star formation rates (CSFRs) from z = 0 to z = 8.