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9–12 Jul 2024
Fermi National Accelerator Laboratory
America/Chicago timezone

ML-based Reconstruction in a Pixelated LArTPC:

Not scheduled
2h
Atrium (Fermi National Accelerator Laboratory)

Atrium

Fermi National Accelerator Laboratory

Speaker

Orgho Neogi

Description

The Deep Underground Neutrino Experiment (DUNE) will address open issues in neutrino physics such as the measurement of the CP-violating phase in neutrino oscillations and the neutrino mass ordering. The 2x2 demonstrator is a single-phase liquid argon time projection chamber (LArTPC), with four modules, operated as a prototype for the DUNE Liquid Argon Near Detector (ND-LAr). Each module in the 2x2 demonstrator is 0.67m x 0.67m x 1.8m. Based on the ArgonCube design concept, the 2x2 features a novel pixelated charge readout and advanced high-coverage photon detection system. Machine learning can be used to form a complete reconstruction pipeline for 2x2 events. This poster will describe the workings of a package under development called SPLINE and its current performance.

Primary author

Presentation materials

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