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Axinos as Cold Dark Matter
Open accessAbstract
We show that axinos produced in the early Universe in the decay of the lightest neutralinos are a compelling candidate for cold dark matter. We argue that axinos may well provide the main component of the missing mass in the Universe because their relic density is naturally of the order of the critical density.
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Cited by
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
Dark Matter Candidates from Particle Physics and Methods of Detection
Feng, J. L. (2010) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-082708-101659 · Cited by 1,448
R-Parity-violating supersymmetry
Barbier, R., Bérat, C., Besançon, M., Chemtob, M., Deandrea, A., Dudas, E., Fayet, P., Lavignac, S., Moreau, G., Perez, E., et al. (2005) · Physics Reports · doi:10.1016/j.physrep.2005.08.006 · Cited by 1,043
Axions and the strongCPproblem
Kim, J. E., & Carosi, G. (2010) · Reviews of Modern Physics · doi:10.1103/revmodphys.82.557 · Cited by 916
Self-citationLyman-α constraints on warm and on warm-plus-cold dark matter models
Boyarsky, A., Lesgourgues, J., Ruchayskiy, O., & Viel, M. (2009) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2009/05/012 · Cited by 398
Metadata
- Authors
- Covi, L., Kim, J. E., & Roszkowski, L.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1999-05-24
- Volume
- 82
- Issue
- 21
- Pages
- 4180-4183
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1755315783
- Cited by
- 336
- References
- 0
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- green
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- Covi, L., Kim, J. E., & Roszkowski, L. (1999). Axinos as Cold Dark Matter. Physical Review Letters. https://doi.org/10.1103/physrevlett.82.4180
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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.
