Flavor and energy inference for the high-energy IceCube neutrinos

Abstract

We present a flavor and energy inference analysis for each high-energy neutrino event observed by the IceCube observatory during six years of data taking. Our goal is to obtain, for the first time, an estimate of the posterior probability distribution for the most relevant properties, such as the neutrino energy and flavor, of the neutrino-nucleon interactions producing shower and track events in the IceCube detector. For each event the main observables in the IceCube detector are the deposited energy and the event topology (showers or tracks) produced by the Cherenkov light by the transit through a medium of charged particles created in neutrino interactions. It is crucial to reconstruct from these observables the properties of the neutrino which generated such event. Here we describe how to achieve this goal using Bayesian inference and Markov chain Monte Carlo methods.

References in corpus (6)

• Observation and Characterization of a Cosmic Muon Neutrino Flux from the Northern Hemisphere using six years of IceCube data
• Flavor Ratio of Astrophysical Neutrinos above 35 TeV in IceCube
• Which is the flavor of cosmic neutrinos seen by IceCube?
• Interpreting IceCube 6-year HESE data as an evidence for hundred TeV decaying Dark Matter
• Dark Matter interpretation of low energy IceCube MESE excess
• Calculation of the Cherenkov light yield from electromagnetic cascades in ice with Geant4

Cited by in corpus (5)

• The Future of High-Energy Astrophysical Neutrino Flavor Measurements
• Decaying dark matter at IceCube and its signature on High Energy gamma experiments
• A Multi-Component Model for the Observed Astrophysical Neutrinos
• Inferring astrophysical neutrino sources from the Glashow resonance
• Sensitivities of KM3NeT on decaying dark matter