4 papers · 1 filter
Limiting the Parameter Space for Unstable eV-scale Neutrinos Using IceCube Data
R. Abbasi, M. Ackermann, J. Adams +422
This Letter extends a recent IceCube sterile neutrino search to include unstable sterile neutrinos within the context of a model termed 3+1+Decay, which expands upon the 3+1 model…
Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks
R. Abbasi, M. Ackermann, J. Adams +426
Radio pulses generated by cosmic-ray air showers can be used to reconstruct key properties like the energy and depth of the electromagnetic component of cosmic-ray air showers. Rad…
Search for High-Energy Neutrinos From the Sun Using Ten Years of IceCube Data
R. Abbasi, M. Ackermann, J. Adams +424
In this Letter, we present the results of a search for high-energy neutrinos produced by the annihilation of dark matter particles trapped in the Sun. Using 9.3 and 10.4 years of d…
GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
IceCube Collaboration
We present GollumFit, a framework designed for performing binned-likelihood analyses on neutrino telescope data. GollumFit incorporates model parameters common to any neutrino tele…