The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
On the Normalization of the Cosmic Star Formation History
Open accessAbstract
Strong constraints on the cosmic star formation history (SFH) have recently been established using ultraviolet and far-infrared measurements, refining the results of numerous measurements over the past decade. The data show a compellingly consistent picture of the SFH out to redshift z ≈ 6, with especially tight constraints for z ≲ 1. We fit these data with simple analytical forms and derive conservative uncertainties. Since the z ≲ 1 SFH data are quite precise, we investigate the sequence of assumptions and corrections that together affect the SFH normalization to test their accuracy, both in this redshift range and beyond. As lower limits on this normalization, we consider the evolution in stellar and metal mass densities, and supernova rate density, finding it unlikely that the SFH normalization is much lower than indicated by our direct fit. As a corresponding upper limit on the SFH normalization, we consider the Super-Kamiokande limit on the electron antineutrino ( e ) flux from past core-collapse supernovae, which applies primarily to z ≲ 1. We find consistency with the SFH only if the neutrino temperatures from supernova events are relatively modest. Constraints on the assumed initial mass function (IMF) also become apparent. The traditional Salpeter IMF, assumed for convenience by many authors, is known to be a poor representation at low stellar masses (≲1 M ☉ ), and we show that recently favored IMFs are also constrained. In particular, somewhat shallow, or top-heavy, IMFs may be preferred, although they cannot be too top-heavy. To resolve the outstanding issues, improved data are called for on the supernova rate density evolution, the ranges of stellar masses leading to core-collapse and type Ia supernovae, and the antineutrino and neutrino backgrounds from core-collapse supernovae.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spergel, D. N., Verde, L., Peiris, H. V., Komatsu, E., Nolta, M. R., Bennett, C. L., Halpern, M., Hinshaw, G., Jarosik, N., Kogut, A., et al. (2003) · The Astrophysical Journal Supplement Series · doi:10.1086/377226 · Cited by 10,976
Starburst99: Synthesis Models for Galaxies with Active Star Formation
Leitherer, C., Schaerer, D., Goldader, J. D., Delgado, R. M. G., Robert, C., Kune, D. F., de Mello, D. F., Devost, D., & Heckman, T. M. (1999) · The Astrophysical Journal Supplement Series · doi:10.1086/313233 · Cited by 4,126
The Evolution and Explosion of Massive Stars. II. Explosive Hydrodynamics and Nucleosynthesis
Woosley, S. E., & Weaver, T. A. (1995) · The Astrophysical Journal Supplement Series · doi:10.1086/192237 · Cited by 3,761
Cited by
THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z = 0-8
Behroozi, P. S., Wechsler, R. H., & Conroy, C. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/770/1/57 · Cited by 2,167
Conroy, C., Gunn, J. E., & White, M. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/699/1/486 · Cited by 1,891
A HIGHLY CONSISTENT FRAMEWORK FOR THE EVOLUTION OF THE STAR-FORMING “MAIN SEQUENCE” FROM z ∼ 0-6
Speagle, J. S., Steinhardt, C. L., Capak, P. L., & Silverman, J. D. (2014) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/214/2/15 · Cited by 1,646
Galactic star formation and accretion histories from matching galaxies to dark matter haloes
Moster, B. P., Naab, T., & White, S. D. M. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sts261 · Cited by 1,431
UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10
Behroozi, P., Wechsler, R. H., Hearin, A. P., & Conroy, C. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz1182 · Cited by 1,243
Metadata
- Authors
- Hopkins, A. M., & Beacom, J. F.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2006-11
- Volume
- 651
- Issue
- 1
- Pages
- 142-154
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W1970058472
- Cited by
- 1,724
- References
- 3
- FWCI
- 48.79
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the Normalization of the Cosmic Star Formation History. https://app.cochat.ai/papers/10.1086/506610
- The paper
- Hopkins, A. M., & Beacom, J. F. (2006). On the Normalization of the Cosmic Star Formation History. The Astrophysical Journal. https://doi.org/10.1086/506610
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.