Search for GeV-scale Dark Matter from the Galactic Center with IceCube-DeepCore

TL;DR

This study uses nearly a decade of IceCube-DeepCore data to search for neutrinos from GeV to TeV dark matter annihilation or decay in the Galactic Center, setting new limits on dark matter properties.

Contribution

First comprehensive analysis of IceCube-DeepCore data for GeV-scale dark matter, providing the strongest neutrino-based constraints in this mass range.

Findings

No significant neutrino excess detected.

Set upper limits on dark matter annihilation cross-section.

Established lower limits on dark matter decay lifetime.

Abstract

Models describing dark matter as a novel particle often predict that its annihilation or decay into Standard Model particles could produce a detectable neutrino flux in regions of high dark matter density, such as the Galactic Center. In this work, we search for these neutrinos using $\sim$9 years of IceCube-DeepCore data with an event selection optimized for energies between 15 GeV to 200 GeV. We considered several annihilation and decay channels and dark matter masses ranging from 15 GeV up to 8 TeV. No significant deviation from the background expectation from atmospheric neutrinos and muons was found. The most significant result was found for a dark matter mass of 201.6 GeV annihilating into a pair of $b\bar{b}$ quarks assuming the Navarro-Frenk-White halo profile with a post-trial significance of $1.08 \;\sigma$. We present upper limits on the thermally-averaged annihilation cross-section of the order of $10^{-24} \mathrm{cm}^3 \mathrm{s}^{-1}$, as well as lower limits on the dark matter decay lifetime up to $10^{26} \mathrm{s}$ for dark matter masses between 5 GeV up to 8 TeV. These results strengthen the current IceCube limits on dark matter masses above 20 GeV and provide an order of magnitude improvement at lower masses. In addition, they represent the strongest constraints from any neutrino telescope on GeV-scale dark matter and are among the world-leading limits for several dark matter scenarios.