Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/104344
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Type: Journal article
Title: All-flavour search for neutrinos from dark matter annihilations in the Milky Way with IceCube/DeepCore
Author: Aartsen, M.
Abraham, K.
Ackermann, M.
Adams, J.
Aguilar, J.
Ahlers, M.
Ahrens, M.
Altmann, D.
Andeen, K.
Anderson, T.
Ansseau, I.
Anton, G.
Archinger, M.
Arguelles, C.
Arlen, T.
Auffenberg, J.
Axani, S.
Bai, X.
Barwick, S.
Baum, V.
et al.
Citation: European Physical Journal C: Particles and Fields, 2016; 76(10):531-1-531-14
Publisher: Springer-Verlag
Issue Date: 2016
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
M.G. Aartsen … G.C. Hill … S. Robertson … A. Wallace … B.J. Whelan … et al. (IceCube Collaboration)
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 cm³ 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 intrinsicallyworse angular resolution of cascades compared to muon tracks in IceCube.
Description: Published online: 28 September 2016
Rights: © The Author(s) 2016. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
DOI: 10.1140/epjc/s10052-016-4375-3
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-016-4375-3
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