The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A statistical model for a complete supernova equation of state
Open accessAbstract
Abstract A statistical model for the equation of state and the composition of supernova matter is presented. It consists of an ensemble of nuclei and interacting nucleons in nuclear statistical equilibrium. A relativistic mean field model is applied for the nucleons. The masses of the nuclei are taken from experimental data and from nuclear structure calculations. Excluded volume effects are implemented in a thermodynamic consistent way so that the transition to uniform nuclear matter can be described. Thus the model can be applied at all densities relevant for supernova simulations, i.e. ρ = 10 5 – 10 15 g / cm 3 , and it is possible to calculate a complete supernova equation of state table. The importance of the nuclear distributions for the composition is shown and the role of shell effects is investigated. We find a significant contribution of light clusters which is only poorly represented by α-particles alone. The equation of state is systematically compared to two commonly used models for supernova matter which are based on the single nucleus approximation. In general only small differences are found. These are most pronounced around the (low-density) liquid–gas phase transition line where the distribution of light and intermediate clusters has an important effect.
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
The Ame2003 atomic mass evaluation
Audi, G., Wapstra, A. H., & Thibault, C. (2003) · Nuclear Physics A · doi:10.1016/j.nuclphysa.2003.11.003 · Cited by 4,796
A generalized equation of state for hot, dense matter
Lattimer, J. M., & Douglas Swesty, F. (1991) · Nuclear Physics A · doi:10.1016/0375-9474(91)90452-c · Cited by 1,368
Statistical multifragmentation of nuclei
Bondorf, J. P., Botvina, A. S., Iljinov, A. S., Mishustin, I. N., & Sneppen, K. (1995) · Physics Reports · doi:10.1016/0370-1573(94)00097-m · Cited by 971
Composition and thermodynamics of nuclear matter with light clusters
Typel, S., Röpke, G., Klähn, T., Blaschke, D., & Wolter, H. H. (2010) · Physical Review C · doi:10.1103/physrevc.81.015803 · Cited by 936
Astrophysical Reaction Rates From Statistical Model Calculations
Rauscher, T., & Thielemann, F.-K. (2000) · Atomic Data and Nuclear Data Tables · doi:10.1006/adnd.2000.0834 · Cited by 926
First-order phase transitions with more than one conserved charge: Consequences for neutron stars
Glendenning, N. K. (1992) · Physical Review D · doi:10.1103/physrevd.46.1274 · Cited by 779
Langanke, K., & Martínez-Pinedo, G. (2000) · Nuclear Physics A · doi:10.1016/s0375-9474(00)00131-7 · Cited by 676
Explosions of O-Ne-Mg cores, the Crab supernova, and subluminous type II-P supernovae
Kitaura, F. S., Janka, H.-T., & Hillebrandt, W. (2006) · Astronomy & Astrophysics · doi:10.1051/0004-6361:20054703 · Cited by 578
Statistical decay of very hot nuclei-the production of large clusters
Gross, D. H. E. (1990) · Reports on Progress in Physics · doi:10.1088/0034-4885/53/5/003 · Cited by 555
Astrophysical Reaction Rates From Statistical Model Calculations
Rauscher, T., & Thielemann, F. K. (2000) · CERN Document Server (European Organization for Nuclear Research) · Cited by 528
Cited by
Identifying a First-Order Phase Transition in Neutron-Star Mergers through Gravitational Waves
Bauswein, A., Bastian, N.-U. F., Blaschke, D. B., Chatziioannou, K., Clark, J. A., Fischer, T., & Oertel, M. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.061102 · Cited by 404
Neutron stars and the nuclear equation of state
Burgio, G. F., Schulze, H.-J., Vidaña, I., & Wei, J.-B. (2021) · Progress in Particle and Nuclear Physics · doi:10.1016/j.ppnp.2021.103879 · Cited by 281
Metadata
- Authors
- Hempel, M., & Schaffner-Bielich, J.
- Venue
- Nuclear Physics A
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 837
- Issue
- 3-4
- Pages
- 210-254
- ISSN
- 0375-9474 (ISSN-L)
- OpenAlex
- W2020670193
- Cited by
- 638
- References
- 33
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- green
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: A statistical model for a complete supernova equation of state. https://app.cochat.ai/papers/10.1016/j.nuclphysa.2010.02.010
- The paper
- Hempel, M., & Schaffner-Bielich, J. (2010). A statistical model for a complete supernova equation of state. Nuclear Physics A. https://doi.org/10.1016/j.nuclphysa.2010.02.010
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.