Tau neutrinos are the least studied particle in the standard model. This whitepaper
discusses the current and expected upcoming status of tau neutrino physics with attention to …

We report on a measurement of astrophysical tau neutrinos with 9.7 yr of IceCube data.
Using convolutional neural networks trained on images derived from simulated events …

Cosmic rays were first discovered over a century ago, however the origin of their high-
energy component remains elusive. Uncovering astrophysical neutrino sources would …

We revisit models of heavy neutral leptons (neutrissimos) with transition magnetic moments
as explanations of the 4.8 σ excess of electronlike events at MiniBooNE. We first reexamine …

Along their long propagation from production to detection, neutrinos undergo flavour
conversions that convert their types or flavours,. High-energy astrophysical neutrinos …

Neutrino oscillations at the highest energies and longest baselines can be used to study the
structure of spacetime and test the fundamental principles of quantum mechanics. If the …

We show that ATLAS, a collider detector, can measure the flux of high-energy supernova
neutrinos, which can be produced from days to months after the explosion. Using Monte …

Neutrino telescopes are gigaton-scale neutrino detectors comprised of individual light-
detection units. Though constructed from simple building blocks, they have opened a new …

Neutrino oscillations at the highest energies and longest baselines provide a natural
quantum interferometer with which to study the structure of spacetime and test the …

Convolutional neural networks (CNNs) have seen extensive applications in scientific data
analysis, including in neutrino telescopes. However, the data from these experiments …