Improving the hierarchy sensitivity of ICAL using neural network

Understand

Atmospheric neutrino experiments can determine the neutrino mass hierarchy for any value of $\delta_{CP}$.

• The Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory can distinguish between the charged current interactions of $\nu_\mu$ and $\bar{\nu}_\mu$ by determining the charge of the produced muon.
• Hence it is particularly well suited to determine the hierarchy.
• The hierarchy signature is more prominent in neutrinos with energy of a few GeV and with pathlength of a few thousand kilometers, $\textit{i.e.}$ neutrinos whose direction is not close to horizontal.