Optimising the measurement of atmospheric neutrino oscillation physics at DUNE

The Deep Underground Neutrino Experiment (DUNE) is a next-generation, long-baseline, neutrino experiment currently in its construction phase. Once operational, DUNE will carry out a world-class programme of neutrino oscillation physics, including the determination of the neutrino mass ordering and a precision measurement of the CP-violating phase. Complementary with its accelerator neutrino programme, DUNE will capture a substantial number of atmospheric neutrinos, generated by cosmic ray interactions in the upper atmosphere, over a broad range of L/E. It is essential to reconstruct neutrino interactions with the highest possible precision, particularly key topological signatures such as Michel electrons and hadronic final states, which provide a degree of separation of neutrinos and antineutrinos, and is potentially critical for mass ordering determination. DUNE is developing a suite of advanced reconstruction tools and techniques that integrate Machine Learning approaches with traditional reconstruction algorithms to improve neutrino event reconstruction efficiency. In this talk, we present the current status of the atmospheric neutrino reconstruction for DUNE, ongoing developments aimed at harnessing key signatures such as Michel electrons for atmospheric neutrino physics.