The paper addresses the task of extracting individual objects from multi-dimensional overlapping-sparse images, with valuable impact in high-energy physics (future high-precision long-baseline neutrino oscillation experiments). The developed tool will allow to reduce systematic errors and avoid model dependence, improving the neutrino energy resolution and sensitivity.
- Saúl Alonso-Monsalve
- Davide Sgalaberna
- André Rubbia
