Proceedings of the 34th International Cosmic Ray Conference — PoS(ICRC2015) 2016
DOI: 10.22323/1.236.0014
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Dark matter phenomena

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Cited by 8 publications
(6 citation statements)
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References 60 publications
(77 reference statements)
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“…What is more, the properties of the DM are still unknown, so one can make a wide range of assumptions. However, models of decaying or annihilating Dark Matter particles are still subject to the set of constraints, such as ones set by CMB (Cosmic Microwave Background) or gamma-rays from Dwarf Galaxies [14].…”
Section: Positron Anomaly Of Pamela and Ams-02mentioning
confidence: 99%
“…What is more, the properties of the DM are still unknown, so one can make a wide range of assumptions. However, models of decaying or annihilating Dark Matter particles are still subject to the set of constraints, such as ones set by CMB (Cosmic Microwave Background) or gamma-rays from Dwarf Galaxies [14].…”
Section: Positron Anomaly Of Pamela and Ams-02mentioning
confidence: 99%
“…This excess was found to be extended with consistent spectral characteristics within ≈ 15 • around the GC [50]. Several explanations for the excess have been proposed, as an unresolved population of millisecond pulsars [51], recurring outbursts from Sgr A * [52] and Dark Matter annihilation [5]. However, given the uncertainties mentioned before, our current knowledge of the cosmic-ray distribution in the galactic centre is not good enough to robustly confirm or refute these ideas.…”
Section: The Galactic Centrementioning
confidence: 92%
“…It is publicly available and can be run from a web interface 4 . Over the recent years two new codes are being developed, PICARD [23,22] and DRAGON [48,33]; the latter is also publicly available 5 . The aim of these codes is to make propagation models increasingly realistic; for instance, by taking into account the spiral-arm structure of gas in the Milky Way.…”
Section: Cosmic-ray Propagation Codesmentioning
confidence: 99%
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“…This will constrain a possible contribution to this excess from decaying dark matter (e.g. [618][619][620]). (See also Section 2.7.)…”
Section: Muwclass: An Automated Multiwavelength Machine Learning Clas...mentioning
confidence: 99%