Speaker
Description
The Deep Underground Neutrino Experiment (DUNE) is a next-generation experiment that
will perform precise measurements of neutrino physics and astrophysics using
multi-kiloton liquid argon time projection chambers (LArTPCs). DUNE will require advanced
reconstruction algorithms to fully exploit its fine-grain LArTPC images. The Pandora
multi-algorithm toolkit is a state-of-the-art approach to pattern recognition, already
in use in a range of experiments across particle physics. Here, we present the current
status of the Pandora reconstruction for the single-phase DUNE far detector; a LArTPC
whose instrumented anode consists of three non-parallel planes of wires. In the
multi-algorithm approach, the complex neutrino event topologies are gradually pieced
together through a chain of focused algorithms, each addressing a small piece of the
pattern recognition until the complete event is reconstructed. This poster will detail
the far detector reconstruction chain and its current performance.
Mini-abstract
The Pandora multi-algorithm approach to pattern recognition for the single-phase DUNE far detector
| Experiment/Collaboration | DUNE |
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