G. Wrede

Deep neural networks for energy and position reconstruction in EXO-200

C. Licciardi, A. Odian, A. Pocar, 2018, Journal of Instrumentation.

Computational techniques for the analysis of small signals in high-statistics neutrino oscillation experiments

G. H. Collin, T. Huber, K. Helbing, 2018, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

K. Helbing, D. R. Nygren, J. J. Beatty, 2020, Computer Physics Communications.

A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory

K. Helbing, D. R. Nygren, J. J. Beatty, 2021, Journal of Instrumentation.

nEXO Pre-Conceptual Design Report

T. Tsang, C. Licciardi, R. Fontaine, 2018, 1805.11142.

Measurements using the inelasticity distribution of multi-TeV neutrino interactions in IceCube

P. Backes, G. Merino, K. Helbing, 2018, 1808.07629.

Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU

P. Backes, A. Stahl, M. Grassi, 2019, Physical Review D.