The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Formation of Primordial Stars in a ΛCDM Universe
Open accessAbstract
We study the formation of the first generation of stars in the standard cold dark matter model. We use a very high resolution cosmological hydrodynamic simulation that achieves a dynamic range of ~10 10 in length scale. With accurate treatment of atomic and molecular physics, including the effect of molecular line opacities and cooling by collision-induced continuum emission, it allows us to study the chemothermal evolution of primordial gas clouds to densities up to ρ ~ 2 × 10 -8 g cm -3 ( n H ~ 10 16 cm -3 ) without assuming any a priori equation of state, an improvement of 6 orders of magnitude over previous three-dimensional calculations. We study the evolution of a primordial star-forming gas cloud in the cosmological simulation in detail. The cloud core becomes marginally unstable against chemothermal instability when the gas cooling rate is increased owing to three-body molecule formation. However, since the core is already compact at that point, runaway cooling simply leads to fast condensation to form a single protostellar seed. During the final dynamical collapse, small angular momentum material collapses faster than the rest of the gas and selectively sinks inward. Consequently, the central regions have little specific angular momentum, and rotation does not halt collapse. We, for the first time, obtain an accurate gas mass accretion rate within a 10 M ☉ innermost region around the protostar. We carry out protostellar evolution calculations using the obtained accretion rate. The resulting mass of the first star when it reaches the zero-age main sequence is M ZAMS ~ 100 M ☉ , and less (≳60 M ☉ ) for substantially reduced accretion rates.
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
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917
Three‐Year Wilkinson Microwave Anisotropy Probe ( WMAP ) Observations: Implications for Cosmology
Spergel, D. N., Bean, R., Dore, O., Nolta, M. R., Bennett, C. L., Dunkley, J., Hinshaw, G., Jarosik, N., Komatsu, E., Page, L., et al. (2007) · The Astrophysical Journal Supplement Series · doi:10.1086/513700 · Cited by 6,778
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
Riess, A. G., Strolger, L., Tonry, J., Casertano, S., Ferguson, H. C., Mobasher, B., Challis, P., Filippenko, A. V., Jha, S., Li, W., et al. (2004) · The Astrophysical Journal · doi:10.1086/383612 · Cited by 4,315
Cited by
Formation of supermassive black holes
Volonteri, M. (2010) · The Astronomy and Astrophysics Review · doi:10.1007/s00159-010-0029-x · Cited by 783
The Assembly of the First Massive Black Holes
Inayoshi, K., Visbal, E., & Haiman, Z. (2020) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-120419-014455 · Cited by 665
Direct Cosmological Simulations of the Growth of Black Holes and Galaxies
Di Matteo, T., Colberg, J., Springel, V., Hernquist, L., & Sijacki, D. (2008) · The Astrophysical Journal · doi:10.1086/524921 · Cited by 555
Self-citationEVOLUTION OF MASSIVE PROTOSTARS WITH HIGH ACCRETION RATES
Hosokawa, T., & Omukai, K. (2009) · The Astrophysical Journal · doi:10.1088/0004-637x/691/1/823 · Cited by 423
Self-citationEarly galaxy formation and its large-scale effects
Dayal, P., & Ferrara, A. (2018) · Physics Reports · doi:10.1016/j.physrep.2018.10.002 · Cited by 403
Metadata
- Authors
- Yoshida, N., Omukai, K., Hernquist, L., & Abel, T.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2006-11-20
- Volume
- 652
- Issue
- 1
- Pages
- 6-25
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2023968025
- Cited by
- 482
- References
- 4
- FWCI
- 21.21
- 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: Formation of Primordial Stars in a ΛCDM Universe. https://app.cochat.ai/papers/10.1086/507978
- The paper
- Yoshida, N., Omukai, K., Hernquist, L., & Abel, T. (2006). Formation of Primordial Stars in a ΛCDM Universe. The Astrophysical Journal. https://doi.org/10.1086/507978
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.