3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
Bayesian classification of astronomical spectra with class uncertainties
Simon Barton, Martin Sahlén, Andreas Korn +1
Context: We developed a probabilistic machine learning method with the aim of performing the O(10)-way classification of low- and high-resolution spectra of stellar and extragalact…
What is new in NuRadioMC: Multilayer Analytic Raytracer
Hannes Warnhofer, Sjoerd Bouma, Vital De Henau +14
NuRadioMC is a framework for the simulation of ultra-high-energy neutrino detectors that measure the radio signal emitted in neutrino-induced particle cascades used in different ra…
Event Reconstruction for Radio-Based In-Ice Neutrino Detectors with Neural Posterior Estimation
Nils Heyer, Christian Glaser, Thorsten Glüsenkamp +1
The detection of ultra-high-energy (UHE) neutrinos in the EeV range is the goal of current and future in-ice radio arrays at the South Pole and in Greenland. Here, we present a dee…
Likelihood Reconstruction for Radio Detectors of Neutrinos and Cosmic Rays
Martin Ravn, Christian Glaser, Thorsten Glüsenkamp +2
Ultra-high-energy neutrinos and cosmic rays are excellent probes of astroparticle physics phenomena. For astroparticle physics analyses, robust and accurate reconstruction of signa…
A Differentiable Surrogate Model for the Generation of Radio Pulses from In-Ice Neutrino Interactions
Philipp Pilar, Martin Ravn, Christian Glaser +1
The planned IceCube-Gen2 radio neutrino detector at the South Pole will enhance the detection of cosmic ultra-high-energy neutrinos. It is crucial to utilize the available time unt…
An improved trigger for Askaryan radio detectors
Christian Glaser, Steven W. Barwick
High-energy neutrinos with energies above a few eV can be measured efficiently with in-ice radio detectors which complement optical detectors such as IceCube at higher ene…