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Atmospheric neutrinos are one of the most relevant natural neutrino sourcesthat can be exploited to infer properties about cosmic rays and neutrinooscillations. The Jiangmen Underground Neutrino Observatory (JUNO) experiment,a 20 kton liquid scintillator detector with excellent energy resolution iscurrently under construction in China. JUNO will be able to detect severalatmospheric neutrinos per day given the large volume. A study on the JUNOdetection and reconstruction capabilities of atmospheric $\nu_e$ and $\nu_\mu$fluxes is presented in this paper. In this study, a sample of atmosphericneutrino Monte Carlo events has been generated, starting from theoreticalmodels, and then processed by the detector simulation. The excellent timingresolution of the 3'' PMT light detection system of JUNO detector and the muchhigher light yield for scintillation over Cherenkov allow to measure the timestructure of the scintillation light with very high precision. Since $\nu_e$and $\nu_\mu$ interactions produce a slightly different light pattern, thedifferent time evolution of light allows to discriminate the flavor of primaryneutrinos. A probabilistic unfolding method has been used, in order to inferthe primary neutrino energy spectrum from the detector experimentalobservables. The simulated spectrum has been reconstructed between 100 MeV and10 GeV, showing a great potential of the detector in the atmospheric low energyregion.

JUNO sensitivity to low energy atmospheric neutrino spectra