UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10

ABSTRACT We present a method to flexibly and self-consistently determine individual galaxies’ star formation rates (SFRs) from their host haloes’ potential well depths, assembly histories, and redshifts. The method is constrained by galaxies’ observed stellar mass functions, SFRs (specific and cosmic), quenched fractions, ultraviolet (UV) luminosity functions, UV–stellar mass relations, IRX–UV relations, auto- and cross-correlation functions (including quenched and star-forming subsamples), and quenching dependence on environment; each observable is reproduced over the full redshift range available, up to 0 < z < 10. Key findings include the following: galaxy assembly correlates strongly with halo…

• UD
  U.S. Department of Energy

  Award: DE-AC02-05CH11231
• NA
  National Aeronautics and Space Administration

  Award: NAS5-26555
• AP
  Alfred P. Sloan Foundation
• YU
  Yale University
• UO
  University of California
• VU
  Vanderbilt University
• NY
  New York University
• PU
  Princeton University
• OS
  Ohio State University
• HU
  Harvard University
• UO
  University of Florida
• UO
  University of Utah
• UO
  University of Washington
• JH
  Johns Hopkins University
• UO
  University of Arizona
• CM
  Carnegie Mellon University
• PS
  Pennsylvania State University
• UO
  University of Virginia
• UO
  University of Portsmouth
• NM
  New Mexico State University
• ST
  Space Telescope Science Institute

  Award: HST-HF2-51353.001-A
• AR
  Australian Respiratory Council
• DF
  Deutsche Forschungsgemeinschaft

  Award: DE-AC02-76SF00515
• UO
  University of Tokyo
• SA
  Science and Technology Facilities Council
• NS
  National Science Foundation of Sri Lanka

  Awards: 1066293, PHY11-25915
• BN
  Brookhaven National Laboratory
• LB
  Lawrence Berkeley National Laboratory