All-flavour search for neutrinos from dark matter annihilations in the Milky Way with IceCube/DeepCore

• Main Authors: Arguelles Delgado, Carlos A (Contributor), Axani, Spencer Nicholas (Contributor), Collins, G. H. (Contributor), Conrad, Janet Marie (Contributor), Jones, Benjamin James Poyner (Contributor), Moulai, Marjon H. (Contributor)
• Other Authors: Massachusetts Institute of Technology. Department of Physics (Contributor), Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor)
• Format: Article
• Language: English
• Published: Springer-Verlag, 2017-06-01T13:49:10Z.
• Subjects: Article
• Online Access: Get fulltext

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.
National Science Foundation (U.S.). Division of Polar Programs
National Science Foundation (U.S.). Division of Physics
University of Wisconsin. Alumni Research Foundation
University of Wisconsin. Grid Laboratory of Wisconsin
Open Science Grid
United States. Department of Energy
National Energy Research Scientific Computing Center (U.S.)
Louisiana Optical Network Initiative