12–23 Jul 2021
Online
Europe/Berlin timezone

Interpreting the high-energy neutrino sky through an angular power spectrum analysis

16 Jul 2021, 18:00
1h 30m
TBA

TBA

Poster NU | Neutrinos & Muons Discussion

Speaker

Ariane Dekker

Description

The origin of high-energy neutrinos, observed in the last 10 years by IceCube, is unknown. We gain more insight by studying the expected angular distribution of potential source populations, considering that IceCube observes a neutrino sky consistent with an isotropic distribution.
We simulate neutrino skymaps by applying statistical distributions for the fluxes of extra-galactic sources and investigate the sensitivities of current (IceCube) and future (IceCube-Gen2 and KM3NeT) experiments. I will show that the angular power spectrum is a powerful probe to assess the angular characteristics of neutrino data and demonstrate that we can constrain rare and bright source classes with current IceCube data.
Another potential source is the decay or annihilation of dark matter, suggested by the observed excess in the High-Energy-Starting-Event (HESE) data set of IceCube. These neutrinos are expected to correlate with the galactic centre, allowing us to distinguish between dark matter and astrophysical origin. We apply the angular power spectrum analysis to the HESE data, and set model-independent limits on dark matter properties. This method relies only on the angular distribution of neutrino events and is therefore stable against astrophysical uncertainties.
Moreover we perform a sensitivity forecast for IceCube-Gen2 and KM3NeT exposure for different decaying and annihilating channels. KM3NeT is especially sensitive to low dark matter masses due to its visibility towards the galactic centre. We therefore extend to masses above 100 GeV, and find that even at lower energies, the angular power spectrum analysis offers a robust way to interpret the neutrino sky.

Keywords

Neutrino Telescopes; Angular power spectrum; High-energy neutrinos

Subcategory Future projects

Primary author

Co-authors

Marco Chianese (University of Naples, Federico II) Shin'ichiro Ando (University of Amsterdam)

Presentation materials