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Cited by 253

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Femtolensing by dark matter revisited

Open access
Katz, Andrey, Kopp, Joachim, Sibiryakov, Sergey, Xue, Wei·2018·Journal of Cosmology and Astroparticle Physics

Abstract

Femtolensing of gamma ray bursts (GRBs) has been put forward as an exciting possibility to probe exotic astrophysical objects with masses below 10−13 solar masses such as small primordial black holes or ultra-compact dark matter minihalos, made up for instance of QCD axions. In this paper we critically review this idea, properly taking into account the extended nature of the source as well as wave optics effects. We demonstrate that most GRBs are inappropriate for femtolensing searches due to their large sizes. This removes the previous femtolensing bounds on primordial black holes, implying that vast regions of parameter space for primordial black hole dark matter are not robustly constrained. Still, we entertain the possibility that a small fraction of GRBs, characterized by fast variability can have smaller sizes and be useful. However, a large number of such bursts would need to be observed to achieve meaningful constraints. We study the sensitivity of future observations as a function of the number of detected GRBs and of the size of the emission region.

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Metadata

Authors
Katz, A., Kopp, J., Sibiryakov, S., & Xue, W.
Venue
Journal of Cosmology and Astroparticle Physics
Published
2018-12-01
Volume
2018
Issue
12
Pages
005-005
ISSN
  • 1475-7508 (ISSN-L)
  • 1475-7516
OpenAlex
W2887293729
Cited by
253
References
60
FWCI
18.12
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Femtolensing by dark matter revisited. https://app.cochat.ai/papers/10.1088/1475-7516/2018/12/005
The paper
Katz, A., Kopp, J., Sibiryakov, S., & Xue, W. (2018). Femtolensing by dark matter revisited. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2018/12/005

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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.