The DOI matches its Crossref record; 176 of the 177 references it cites were found in a registry or an index.
THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z = 0-8
Open accessAbstract
We present a robust method to constrain average galaxy star formation rates (SFRs), star formation histories (SFHs), and the intracluster light (ICL) as a function of halo mass. 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. We consider the effects of a wide range of uncertainties on our results, including those affecting stellar masses, SFRs, 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 CSFRs and SSFRs; 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 M ☉ 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 SFHs that are more accurate than the standard declining tau model. Our approach places a wide variety of observations relating to the SFH of galaxies into a self-consistent framework based on the modern understanding of structure formation in ΛCDM. Constraints on the stellar mass–halo mass relationship and SFRs are available for download online.
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“This is consistent with the abundance matching models of Moster et al. (2013), who predict a stellar mass growth by a factor of 5 over the same time interval, and of Behroozi et al. (2013), who predict a factor of 4.”
From Kraken reveals itself – the merger history of the Milky Way reconstructed with the E-MOSAICS simulations (2020) · cites this paper as Behroozi et al. (2013)
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“We obtain a similar result if instead we consider the Behroozi et al. (2013) abundance matching relation, with the MW stellar mass being 0 . 8 and 1 . 4 σ above the median trend for the contracted and pure NFW halo models, respectively.”
From The milky way total mass profile as inferred from Gaia DR2 (2020) · cites this paper as Behroozi et al. (2013)
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Stellar population synthesis at the resolution of 2003
Bruzual, G. A., & Charlot, S. (2003) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2003.06897.x · Cited by 10,505
Galactic Stellar and Substellar Initial Mass Function
Chabrier, G. (2003) · Publications of the Astronomical Society of the Pacific · doi:10.1086/376392 · Cited by 9,071
SEVEN-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE(WMAP) OBSERVATIONS: COSMOLOGICAL INTERPRETATION
Komatsu, E., Smith, K. M., Dunkley, J., Bennett, C. L., Gold, B., Hinshaw, G., Jarosik, N., Larson, D., Nolta, M. R., Page, L., et al. (2011) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/192/2/18 · Cited by 8,802
The cosmological simulation code gadget-2
Springel, V. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09655.x · Cited by 6,368
FIVE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE OBSERVATIONS: COSMOLOGICAL INTERPRETATION
Komatsu, E., Dunkley, J., Nolta, M. R., Bennett, C. L., Gold, B., Hinshaw, G., Jarosik, N., Larson, D., Limon, M., Page, L., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/180/2/330 · Cited by 5,786
Galactic Stellar and Substellar Initial Mass FunctionPreprint
Chabrier, G. (2003) · Cited by 4,012
The cosmological simulation code GADGET-2
Petkova, M., & Springel, V. (2005) · Cited by 3,918
An Adaptive Metropolis Algorithm
Haario, H., Saksman, E., & Tamminen, J. (2001) · Bernoulli · doi:10.2307/3318737 · Cited by 2,687
Statistical Properties of X‐Ray Clusters: Analytic and Numerical Comparisons
Bryan, G. L., & Norman, M. L. (1998) · The Astrophysical Journal · doi:10.1086/305262 · Cited by 2,372
CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY
Grogin, N. A., Kocevski, D. D., Faber, S. M., Ferguson, H. C., Koekemoer, A. M., Riess, A. G., Acquaviva, V., Alexander, D. M., Almaini, O., Ashby, M. L. N., et al. (2011) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/197/2/35 · Cited by 2,137
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Research works printed but not linked: 3
- Borgani, 2011, ASL, 4, 204
- Riebe, 2011, AN
- Yoshida, 2006, ApJ, 653, 988
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Items 1,001–1,004 of 1,004
Burger, J. D., Zavala, J., Sales, L. V., Vogelsberger, M., Marinacci, F., & Torrey, P. (2022) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stac994 · Cited by 39
The GOGREEN survey: transition galaxies and the evolution of environmental quenching
McNab, K., Balogh, M. L., van der Burg, R. F. J., Forestell, A., Webb, K., Vulcani, B., Rudnick, G., Muzzin, A., Cooper, M. C., McGee, S., et al. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab2558 · Cited by 34
Dark matter response to galaxy assembly history
Artale, M. C., Pedrosa, S. E., Tissera, P. B., Cataldi, P., & Di Cintio, A. (2019) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201834096 · Cited by 19
Machine Learning the Dark Matter Halo Mass of Milky Way-Like Systems
Hayati, E., Behroozi, P., & Patel, E. (2024) · The Open Journal of Astrophysics · doi:10.33232/001c.116178 · Cited by 3
Self-citation
Metadata
- Authors
- Behroozi, P. S., Wechsler, R. H., & Conroy, C.
- Affiliations
- SLAC National Accelerator Laboratory (US)
- University of California, Santa Cruz (US)
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2013-05-24
- Volume
- 770
- Issue
- 1
- Pages
- 57
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2074259895
- Cited by
- 2,167
- References
- 175
- Citations by year
- 2026: 88 · 2025: 156 · 2024: 131 · 2023: 122 · 2022: 155 · 2021: 151 · 2020: 166 · 2019: 220 · 2018: 187 · 2017: 220 · 2016: 196 · 2015: 171 · 2014: 148 · 2013: 50
- FWCI
- 101.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Astrophysical Journal (publishedVersion)
- arXiv (Cornell University) (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- University of North Texas Digital Library (University of North Texas) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (PHY11- 25915, DE-AC02-76SF00515, 25915)
- U.S. Department of Energy (76SF00515, DE–AC02–76SF00515, AC02‐76SF00515, DE-AC02-)
- National Aeronautics and Space Administration (PHY11-25915, NAS 526555)
- Achievement Rewards for College Scientists Foundation
- Space Telescope Science Institute (NAS5- 26555, 26555)
- Kavli Institute for Theoretical Physics, University of California, Santa Barbara (PHY-11-25915)
- SLAC National Accelerator Laboratory (DEAC02−76SF00515, AC02‐76SF00515)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Keywords
- star formation history, dark matter halos, intracluster light, halo mass function, cosmic star formation rate, specific star formation rate, stellar mass function, stellar mass-halo mass relation, baryon conversion efficiency, cold-mode accretion, dwarf galaxies, high-redshift galaxies
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