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4. Characterisation of the Hamamatsu photomultipliers for the KM3NeT Neutrino Telescope. (31st May 2018)

5. Charge reconstruction in large-area photomultipliers. (6th February 2018)

6. Deep-sea deployment of the KM3NeT neutrino telescope detection units by self-unrolling. (1st November 2020)

8. Development of a Real-Time, Large Area, High Spatial Resolution Particle Tracker Based on Scintillating Fibers. (9th March 2014)

9. Event reconstruction for KM3NeT/ORCA using convolutional neural networks. (1st October 2020)

10. GIGJ: A Crustal Gravity Model of the Guangdong Province for Predicting the Geoneutrino Signal at the JUNO Experiment. Issue 4 (29th April 2019)