Search for dark matter annihilation in the Milky Way halo
Journal Article
·
· Physical Review D
- Princeton Univ., NJ (United States); DOE/OSTI
- Princeton Univ., NJ (United States)
The Milky Way halo is the brightest source of dark matter annihilation in the sky. Indeed, the potential strength of the Galactic dark matter signal can supersede that expected from dwarf galaxies and galaxy groups even in regions away from the inner galaxy. In this paper, we present the results of a search for dark matter annihilation in the smooth Milky Way halo for |b| > 20° and r < 50° using 413 weeks of Fermi Pass 8 data within the energy range of ~0.8–50 GeV. We exclude thermal dark matter with mass below ~70 GeV that annihilates to bb¯ at the 95% confidence level using the p6v11 cosmic-ray foreground model, providing the strongest limits on the annihilation cross section in this mass range. These results exclude the region of dark matter parameter space that is consistent with the excess of ~GeV photons observed at the Galactic center for the bb¯ annihilation channel and, for the first time, start probing the τ+τ– explanation. As a result, we explore how these results depend on uncertainties in the foregrounds by varying over a set of reasonable models.
- Research Organization:
- Princeton Univ., NJ (United States)
- Sponsoring Organization:
- USDOE; USDOE Office of Science (SC)
- Grant/Contract Number:
- SC0007968
- OSTI ID:
- 1611000
- Alternate ID(s):
- OSTI ID: 1485350
- Journal Information:
- Physical Review D, Journal Name: Physical Review D Journal Issue: 12 Vol. 98; ISSN 2470-0010
- Publisher:
- American Physical Society (APS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Characterizing the nature of the unresolved point sources in the Galactic Center: An assessment of systematic uncertainties
|
journal | January 2020 |
Remnants of Galactic Subhalos and Their Impact on Indirect Dark-Matter Searches
|
journal | June 2019 |
Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning
|
journal | November 2019 |
| Remnants of Galactic subhalos and their impact on indirect dark matter searches | text | January 2019 |
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