On the optimal siting of cubic kilometre scale neutrino telescope infrastructure on the deep-sea floor

Abstract

The aim of this paper is to propose an approach for optimal siting of the KM3NeT neutrino telescope on the sea floor. The method is based on Geographic Information System (GIS) spatial analyses and cost assessment. GIS techniques initially aim to derive depth and slope characteristics of the sea floor, and estimate the distance from shore. Subsequently, GIS methods are used to pre-select sites meeting the KM3NeT infrastructure criteria. Finally, the candidate locations are evaluated in terms of cost estimation. A convex combination of instantaneous cost functions (ICFs) is applied and different weighting factors are allowed to account for dissimilar importance of the considered variables. The ICFs are indexed by a parameter β to assign different cost characteristics to different variables. The overall assessment is based on the comparison of costs computed for the candidate sites assuming many configurations of weights and β values. Our exercise uses a simulated numerical bathymetry to avoid a site-specific evaluation at the initial stage of the KM3NeT project. Hence, no recommendations as to the real locations of the neutrino telescope in the Mediterranean Sea are addressed. Our approach is found to serve well in the process of comparing costs between different candidate sites.