All-flavour search for neutrinos from dark matter annihilations in the Milky Way with IceCube/DeepCore
Name
s10052-016-4375-3_pdfa.pdf
Size
1.34 MB
Format
Adobe PDF
Checksum (MD5)
4e566be8adc0e92d2ce1126e812b88d3
Author(s)
Arguelles Delgado, Carlos A
Axani, Spencer Nicholas
Collins, G. H.
Conrad, Janet Marie
Jones, Benjamin James Poyner
Moulai, Marjon H.
Date Issued
September 2016
Journal
The European Physical Journal C
Publisher
Springer-Verlag
Citation
Aartsen, M. G. et al. “All-Flavour Search for Neutrinos from Dark Matter Annihilations in the Milky Way with IceCube/DeepCore.” The European Physical Journal C 76.10 (2016): n. pag.
Version
Final published version
Abstract
We present the first IceCube search for a signal of dark matter annihilations in the Milky Way using all-flavour neutrino-induced particle cascades. The analysis focuses on the DeepCore sub-detector of IceCube, and uses the surrounding IceCube strings as a veto region in order to select starting events in the DeepCore volume. We use 329 live-days of data from IceCube operating in its 86-string configuration during 2011–2012. No neutrino excess is found, the final result being compatible with the background-only hypothesis. From this null result, we derive upper limits on the velocity-averaged self-annihilation cross-section, ⟨σAv⟩ , for dark matter candidate masses ranging from 30 GeV up to 10 TeV, assuming both a cuspy and a flat-cored dark matter halo profile. For dark matter masses between 200 GeV and 10 TeV, the results improve on all previous IceCube results on ⟨σAv⟩ , reaching a level of 10 -23 cm 3 s -1 , depending on the annihilation channel assumed, for a cusped NFW profile. The analysis demonstrates that all-flavour searches are competitive with muon channel searches despite the intrinsically worse angular resolution of cascades compared to muon tracks in IceCube.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1140/epjc/s10052-016-4375-3
