Algorithm development study demonstrates improved particle track continuity and energy estimation in the ICARUS detector, enhancing neutrino event reconstruction efficiency.
Key Points
To develop and implement a track-stitching algorithm that identifies and reconnects incorrectly split particle tracks during ICARUS event reconstruction.
Designed a pattern-recognition stitching algorithm within the ICARUS-T600 Liquid Argon Time Projection Chamber (LArTPC) reconstruction framework.
Targeted fragmented track topologies to merge broken segments resulting from raw detector signal processing.
Prevented energy underestimation and particle identification failures caused by track fragmentation.
Improved overall track reconstruction quality, calorimetric energy estimation, and neutrino event selection efficiency.