
The Deep Underground Neutrino Experiment (DUNE) is a pioneering long baseline neutrino experiment situated in the US that will feature multi-kiloton scale Liquid Argon Time Projection Chambers (LArTPCs). Beyond its primary beam neutrino objectives, DUNE's cutting-edge technology offers a unique opportunity to investigate atmospheric neutrinos with unprecedented precision. Atmospheric neutrinos, with their wide-ranging energy spectrum and extensive path lengths, provide a rich dataset for probing various energy-to-distance (L/E) values and therefore can provide invaluable insights into the different parameters of the PMNS matrix. Moreover, the results obtained with this source of neutrinos will be totally complementary to the beam neutrino program of DUNE and will allow to break degeneracies and have a more complete view of neutrino oscillations. This talk will focus on the reconstruction performance of atmospheric neutrinos within the DUNE experiment. We will present the first results obtained with the full DUNE simulation and reconstruction chain for atmospheric neutrinos, including detailed analyses of the hadronic system, energy, and direction reconstruction capabilities. We aim to demonstrate the potential of DUNE's LArTPC technology in achieving high-precision measurements. This foundational work sets the stage for future sensitivity studies to neutrino oscillation and new physics using atmospheric neutrinos in DUNE.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
