Event reconstruction for KM3NeT/ORCA using convolutional neural networks

Dependence of atmospheric muon flux on seawater depth measured with the first KM3NeT detection units

(2020) M. Ageron et al.   EUROPEAN PHYSICAL JOURNAL C

A deep learning-based reconstruction of cosmic ray-induced air showers

(2018) M. Erdmann et al.   ASTROPARTICLE PHYSICS

Characterisation of the Hamamatsu photomultipliers for the KM3NeT Neutrino Telescope

(2018) S. Aiello et al.   Journal of Instrumentation

Deep Learning and Its Application to LHC Physics

(2018) Dan Guest et al.   Annual Review of Nuclear and Particle Science

Application of deep learning methods to analysis of imaging atmospheric Cherenkov telescopes data

(2018) I. Shilon et al.   ASTROPARTICLE PHYSICS

Intrinsic limits on resolutions in muon- and electron-neutrino charged-current events in the KM3NeT/ORCA detector

(2017) S. Adrián-Martínez et al.   JOURNAL OF HIGH ENERGY PHYSICS

A convolutional neural network neutrino event classifier

(2016) A. Aurisano et al.   Journal of Instrumentation

Letter of intent for KM3NeT 2.0

(2016) S Adrián-Martínez et al.   JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Atmospheric neutrino flux calculation using the NRLMSISE-00 atmospheric model

(2015) M. Honda et al.   PHYSICAL REVIEW D

Mass hierarchy, 2-3 mixing and CP-phase with huge atmospheric neutrino detectors

(2013) E. Kh. Akhmedov et al.   JOURNAL OF HIGH ENERGY PHYSICS

ANTARES: The first undersea neutrino telescope

(2011) M. Ageron et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Atmospheric MUons from PArametric formulas: a fast GEnerator for neutrino telescopes (MUPAGE)

(2008) G. Carminati et al.   COMPUTER PHYSICS COMMUNICATIONS