Reconstruction of muon bundles in KM3NeT detectors using machine learning methods

The KM3NeT Collaboration is installing the ARCA and ORCA neutrino detectorsat the bottom of the Mediterranean Sea. The focus of ARCA is neutrinoastronomy, while ORCA is optimised for neutrino oscillation studies. Bothdetectors are already operational in their intermediate states and collect valuabledata, including the measurements of the muons produced by cosmic rayinteractions in the atmosphere. This work explores the potential of machinelearning models for the reconstruction of muon bundles, which are multi-muonevents. For this, data collected with intermediate detector configurations ofARCA and ORCA was used in addition to simulated data from the envisagedfinal configurations of those detectors. Prediction of the total number of muonsin a bundle as well as their total energy and even the energy of the primarycosmic ray is presented.