The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
micrOMEGAs5.0 : Freeze-in
Open accessAbstract
We present a major upgrade of the micrOMEGAs dark matter code to compute the abundance of feebly interacting dark matter candidates through the freeze-in mechanism in generic extensions of the Standard Model of particle physics. We develop the necessary formalism in order to solve the freeze-in Boltzmann equations while making as few simplifying assumptions as possible concerning the phase-space distributions of the particles involved in the dark matter production process. We further show that this formalism allows us to treat different freeze-in scenarios and discuss the way it is implemented in the code. We find that, depending on the New Physics scenario under consideration, the effect of a proper treatment of statistics on the predicted dark matter abundance can range from a few percent up to a factor of two, or more. We moreover illustrate the underlying physics, as well as the various novel functionalities of micrOMEGAs, by presenting several example results obtained for different dark matter models.
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
Planck 2015 results: XIII. Cosmological parameters
Planck Collaboration, Ade, P. A. R., Aghanim, N., Arnaud, M., Ashdown, M., Aumont, J., Baccigalupi, C., Banday, A. J., Barreiro, R. B., Bartlett, J. G., et al. (2016) · Astronomy & Astrophysics · doi:10.1051/0004-6361/201525830 · Cited by 10,583
NINE-YEAR WILKINSON MICROWAVE ANISOTROPY PROBE ( WMAP ) OBSERVATIONS: COSMOLOGICAL PARAMETER RESULTS
Hinshaw, G., Larson, D., Komatsu, E., Spergel, D. N., Bennett, C. L., Dunkley, J., Nolta, M. R., Halpern, M., Hill, R. S., Odegard, N., et al. (2013) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/208/2/19 · Cited by 5,121
Particle dark matter: evidence, candidates and constraints
Bertone, G., Hooper, D., & Silk, J. (2005) · Physics Reports · doi:10.1016/j.physrep.2004.08.031 · Cited by 4,979
FeynRules 2.0 — A complete toolbox for tree-level phenomenology
Adam Alloul, A., Christensen, N. D., Degrande, C. C., Duhr, C., & Benjamin Fuks, E. (2014) · Computer Physics Communications · doi:10.1016/j.cpc.2014.04.012 · Cited by 2,695
Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results
WRIGHT, E. L. (2016) · NASA STI Repository (National Aeronautics and Space Administration) · doi:10.15781/t2st7f05x · Cited by 2,601
Results from a Search for Dark Matter in the Complete LUX Exposure
Akerib, D. S., Alsum, S., Araújo, H. M., Bai, X., Bailey, A. J., Balajthy, J., Beltrame, P., Bernard, E. P., Bernstein, A., Biesiadzinski, T. P., et al. (2017) · Physical Review Letters · doi:10.1103/physrevlett.118.021303 · Cited by 1,553
Cosmic abundances of stable particles: Improved analysis
Gondolo, P., & Gelmini, G. (1991) · Nuclear Physics B · doi:10.1016/0550-3213(91)90438-4 · Cited by 1,516
Freeze-in production of FIMP dark matter
Hall, L. J., Jedamzik, K., March-Russell, J., & West, S. M. (2010) · Journal of High Energy Physics · doi:10.1007/jhep03(2010)080 · Cited by 1,162
First Dark Matter Search Results from the XENON1T Experiment
Aprile, E., Aalbers, J., Agostini, F., Alfonsi, M., Amaro, F. D., Anthony, M. T., Arneodo, F., Barrow, P., Baudis, L., Bauermeister, B., et al. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.181301 · Cited by 1,102
DarkSUSY: computing supersymmetric dark matter properties numerically
Gondolo, P., Edsjö, J., Ullio, P., Bergström, L., Schelke, M., & Baltz, E. A. (2004) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2004/07/008 · Cited by 895
Cited by
Long-lived particles at the energy frontier: the MATHUSLA physics case
Curtin, D., Drewes, M., McCullough, M., Meade, P., Mohapatra, R. N., Shelton, J., Shuve, B., Accomando, E., Alpigiani, C., Antusch, S., et al. (2019) · Reports on Progress in Physics · doi:10.1088/1361-6633/ab28d6 · Cited by 384
Metadata
- Authors
- Bélanger, G., Boudjema, F., Goudelis, A., Pukhov, A., & Zaldívar, B.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 231
- Pages
- 173-186
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W2783164003
- Cited by
- 508
- References
- 43
- FWCI
- 31.34
- 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: micrOMEGAs5.0 : Freeze-in. https://app.cochat.ai/papers/10.1016/j.cpc.2018.04.027
- The paper
- Bélanger, G., Boudjema, F., Goudelis, A., Pukhov, A., & Zaldívar, B. (2018). micrOMEGAs5.0 : Freeze-in. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2018.04.027
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.
