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

By P. Behroozi, Risa Wechsler, Andrew P. Hearin, C. Conroy. Monthly notices of the Royal Astronomical Society, 2018

771 citations recorded by the source corpus.

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 assembly; quenching correlates strongly with halo mass; quenched fractions at fixed halo mass decrease with increasing redshift; massive quenched galaxies reside in higher-mass haloes than star-forming galaxies at fixed galaxy mass; star-forming and quenched galaxies’ star formation histories at fixed mass differ most at z < 0.5; satellites have large scatter in quenching time-scales after infall, and have modestly higher quenched fractions than central galaxies; Planck cosmologies result in up to 0.3 dex lower stellar – halo mass ratios at early times; and, none the less, stellar mass–halo mass ratios rise at z > 5. Also presented are revised stellar mass – halo mass relations for all, quenched, star-forming, central, and satellite galaxies; the dependence of star formation histories on halo mass, stellar mass, and galaxy SSFR; quenched fractions and quenching time-scale distributions for satellites; and predictions for higher-redshift galaxy correlation functions and weak lensing surface densities. The public data release (DR1) includes the massively parallel (>105 cores) implementation (the UniverseMachine), the newly compiled and remeasured observational data, derived galaxy formation constraints, and mock catalogues including lightcones.

Subfields: Astronomy and Astrophysics, Instrumentation, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/5a6f1c30dbda7ed862f5439ef8ae3b10c5a8cbb8

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. P. V. van Dokkum
2. M. Franx
3. C. Conroy
4. R. Somerville
5. I. Labbé
6. R. Dav'e
7. P. Hopkins
8. P. Oesch

In Instrumentation

1. P. V. van Dokkum
2. M. Franx
3. C. Conroy
4. I. Labbé
5. R. Bouwens
6. P. Oesch
7. Richard S. Ellis
8. G. Illingworth

In Nuclear and High Energy Physics

1. R. Somerville
2. R. Dav'e
3. A. Dekel
4. P. Behroozi
5. C. Conroy
6. P. V. van Dokkum
7. E. Daddi
8. M. Ouchi

Citations in the corpus

• A Census of Photometrically Selected Little Red Dots at 4 < z < 9 in JWST Blank Fields (2024, background): “…− 20) of the UV luminosity function is in tension with current theoretical frameworks (Behroozi & Silk 2015; Dayal et al. 2017; Yung et al. 2019, 2020; Behroozi et al. 2019, 2020; Dav´e et al. 2019; Wilkins et al. 2022; Kannan et al. 2023; Mason et al. 2023; Mauerhofer & Dayal 2023), which…”
• Rapid Reionization by the Oligarchs: The Case for Massive, UV-bright, Star-forming Galaxies with High Escape Fractions (2019, positive): “…our best-fit Schechter function at z=[4, 6, 8, 10, 12], we find αUV=[−1.63± 0.02, −1.72± 0.03, −1.69± 0.04, −1.84± 0.06, −1.99± 0.24], consistent with recent empirical and semianalytical models that find αUV=−1.5 to −2.0 at z=5–10 (e.g., Behroozi et al. 2019; Endsley et al. 2019; Yung et al. 2019).”
• An Older, More Quiescent Universe from Panchromatic SED Fitting of the 3D-HST Survey (2018, methodology): “The most widely used parameters from such fits are star formation rates (SFRs) and stellar masses (e.g., Shapley et al. 2001; Hopkins & Beacom 2006; Genel et al. 2014; Madau & Dickinson 2014; Speagle et al. 2014; Behroozi et al. 2019).”
• CEERS Key Paper. I. An Early Look into the First 500 Myr of Galaxy Formation with JWST (2022, background): “In the bottom panel of Figure 14, we also compare to nine recent model-based predictions, including from the Santa Cruz (Yung et al. 2019a, 2020) and DELPHI (Dayal et al. 2017) SAMs, empirical models by Behroozi & Silk (2015), Mason et al. (2015), and the UNIVERSEMACHINE (Behroozi et al. 2019, 2020)”
• The Complete CEERS Early Universe Galaxy Sample: A Surprisingly Slow Evolution of the Space Density of Bright Galaxies at z ∼ 8.5–14.5 (2023, background): “…as in F23, including semianalytic models ( SAMs; Dayal et al. 2017; Yung et al. 2019, 2020 ) , empirical models ( Behroozi & Silk 2015; Mason et al. 2015; Behroozi et al. 2019 ) , and cosmological hydrodynamic simulations ( Davé et al. 2019; Wilkins et al. 2023; Kannan et al. 2022, 2023 ) .”
• A Comprehensive Study of Galaxies at z ∼ 9–16 Found in the Early JWST Data: Ultraviolet Luminosity Functions and Cosmic Star Formation History at the Pre-reionization Epoch (2022, methodology): “There is an increasing trend of the stellar-to-halo mass ratio toward high redshift for a given halo mass (e.g., Behroozi et al. 2013, 2019; Harikane et al. 2016, 2018), which is consistent with the original idea of the galaxy formation downsizing picture (Cowie et al. 1988).”
• Two Remarkably Luminous Galaxy Candidates at z ≈ 10–12 Revealed by JWST (2022, result): “Finally, we also briefly compare our estimates with simulated LFs from the UniverseMachine model (Behroozi et al. 2019) and from the Delphi model (Dayal et al. 2014, 2022).”