Journal article
Combined dark matter search towards dwarf spheroidal galaxies with Fermi -LAT, HAWC, H.E.S.S., MAGIC, and VERITAS
- Abstract:
- Dwarf spheroidal galaxies (dSphs) are excellent targets for indirect dark matter (DM) searches using gamma-ray telescopes because they are thought to have high DM content and a low astrophysical background. The sensitivity of these searches is improved by combining the observations of dSphs made by different gamma-ray telescopes. We present the results of a combined search by the most sensitive currently operating gamma-ray telescopes, namely: the satellite-borne Fermi-LAT telescope; the ground-based imaging atmospheric Cherenkov telescope arrays H.E.S.S., MAGIC, and VERITAS; and the HAWC water Cherenkov detector. Individual datasets were analyzed using a common statistical approach. Results were subsequently combined via a global joint likelihood analysis. We obtain constraints on the velocity-weighted cross section 〈σv〉 for DM self-annihilation as a function of the DM particle mass. This five-instrument combination allows the derivation of up to 2-3 times more constraining upper limits on 〈σv〉 than the individual results over a wide mass range spanning from 5 GeV to 100 TeV. Depending on the DM content modeling, the 95% confidence level observed limits reach 1.5×10-24 cm3s-1 and 3.2×10-25 cm3s-1, respectively, in the τ + τ - annihilation channel for a DM mass of 2 TeV.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.0MB, Terms of use)
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- Publisher copy:
- 10.1088/1475-7516/2026/03/035
Authors
- Publisher:
- IOP Publishing
- Journal:
- Journal of Cosmology and Astroparticle Physics More from this journal
- Volume:
- 2026
- Issue:
- 03
- Article number:
- 035
- Publication date:
- 2026-03-11
- Acceptance date:
- 2025-08-16
- DOI:
- EISSN:
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1475-7516
- Language:
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English
- Keywords:
- Pubs id:
-
2389362
- Local pid:
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pubs:2389362
- Source identifiers:
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3844080
- Deposit date:
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2026-03-11
- ARK identifier:
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- Copyright date:
- 2026
- Licence:
- CC Attribution (CC BY)
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