The KM3NeT neutrino telescope, located presently at two different sites in the Mediterranean Sea, consists of two neutrino detecors As the telescope is still being built, the calibration is fully...Show moreThe KM3NeT neutrino telescope, located presently at two different sites in the Mediterranean Sea, consists of two neutrino detecors As the telescope is still being built, the calibration is fully underway. This research focuses on four potential biases present in the astrophysical focused part of the detector, ARCA. Muon light, both detected and reconstructed from simulations and $^{40}$K decay being used to determine the size of those biases. It is found that the PMTs shadowed by the titanium collar on the DOM show a different bias dependent on what hemisphere they are located. Furthermore it is found that the different gel transperacy in the DOMs causes different efficiencies, and that the new PMTs show lower efficiencies than the old PMTs.Show less
KM3NeT is an international collaboration currently engaged in the development of a neutrino detector situated in the Mediterranean Sea. By investigating atmospheric neutrinos, its objective is to...Show moreKM3NeT is an international collaboration currently engaged in the development of a neutrino detector situated in the Mediterranean Sea. By investigating atmospheric neutrinos, its objective is to explore the fundamental characteristics of neutrinos, while also striving to study astro-particle physics by detecting high-energy neutrinos originating from celestial objects. Neutrinos interacting with seawater surrounding the detector create muons that emit Cherenkov radiation that can be detected. The reconstruction software employed aims to determine the energy and direction of these muons. This thesis briefly studies the underlying model, referred to as the PDF, shedding qualitative light on some of its internal mechanisms. The reconstruction software comprises a prefit stage and a fit of the PDF. In the second part of this thesis, the watershed algorithm is shown to be a promising alternative in the determination of the best distinct solutions of the prefit by effectively discerning symmetries among other considerations.Show less
In this paper a new method of distinguishing shower-like from track-like neutrino interaction events using event reconstruction data is introduced. This method is then used to minimise the error...Show moreIn this paper a new method of distinguishing shower-like from track-like neutrino interaction events using event reconstruction data is introduced. This method is then used to minimise the error that a shower-like event is misidenti ed as a track-like event and vice versa, which is necessary for measuring the neutrino mass hierarchy in ORCA. In its current format, the method leads to errors of around 0.40 for noisy simulation data and approximately 0.15 for noiseless data. However, the method can still be extended to take into account more information of the reconstructions, thereby possibly improving the results.Show less
