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Impact of dark matter decays and annihilations on reionization

Open access
Mapelli, M., Ferrara, A., Pierpaoli, E.·2006·Monthly Notices of the Royal Astronomical Society

Abstract

One of the possible methods to distinguish among various dark matter (DM) candidates is to study the effects of DM decays. We consider four different DM candidates [light dark matter (LDM), gravitinos, neutralinos and sterile neutrinos], for each of them deriving the decaying/annihilation rate, the influence on reionization, matter temperature and cosmic microwave background (CMB) spectra. We find that LDM particles (1–10 MeV) and sterile neutrinos (2–8 keV) can be sources of partial early reionization (z≲ 100). However, their integrated contribution to Thomson optical depth is small (≲ 0.01) with respect to the 3-yr WMAP results (τe= 0.09 ± 0.03). Finally, they can significantly affect the behaviour of matter temperature. On the contrary, effects of heavy DM candidates (gravitinos and neutralinos) on reionization and heating are minimal. All the considered DM particles have completely negligible effects on the CMB spectra.

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Metadata

Authors
Mapelli, M., Ferrara, A., & Pierpaoli, E.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2006-06-07
Volume
369
Issue
4
Pages
1719-1724
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1778491405
Cited by
178
References
2
FWCI
13.50
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Impact of dark matter decays and annihilations on reionization. https://app.cochat.ai/papers/10.1111/j.1365-2966.2006.10408.x
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Mapelli, M., Ferrara, A., & Pierpaoli, E. (2006). Impact of dark matter decays and annihilations on reionization. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2006.10408.x

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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.