PoS - Proceedings of Science
Volume 402 - The 22nd International Workshop on Neutrinos from Accelerators (NuFact2021) - All Sessions
A Novel Hit-Based Method to Distinguish Tracks and Showers in ProtoDUNE Single Phase
S. Vergani
Full text: pdf
Published on: March 31, 2022
Pandora is a pattern recognition software used in liquid argon time projection chamber (LArTPC) experiments such as MicroBooNE, DUNE, SBND, ICARUS, and ProtoDUNE Single Phase (SP). The output of a LArTPC can be considered a high-resolution 2D image and energy depositions, called hits, from particles in a LArTPC create complicated topologies that are broadly classified into tracks and showers. The event reconstruction is particularly challenging when there are multiple overlapping particles and in order to fully harness the imaging capabilities of those
experiments, Pandora needs to separate them. A hit-based approach to this problem is presented, which analyses small regions around each hit in events from DUNE Far Detector (FD) and from those regions it calculates local variables that are used subsequently in a machine learning approach. After this stage, it is given to each hit a probability to belong to a track or shower-like particle. Results will show the performance of separation between tracks and showers. This method is planned to be used for ProtoDUNE SP.
DOI: https://doi.org/10.22323/1.402.0179
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