83 citations · 288 across the 10 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
physics.ins-det2015
Improving the hierarchy sensitivity of ICAL using neural network
Ali Ajmi, Abhish Dev, Mohammad Nizam +2
Atmospheric neutrino experiments can determine the neutrino mass hierarchy for any value of . The Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory c…
hep-ph2015★ 9 cited
Non-Zero and in a Neutrino Mass Model with Symmetry
Abhish Dev, P. Ramadevi, S. Uma Sankar
In this paper, we consider a neutrino mass model based on symmetry. The spontaneous symmetry breaking in this model is chosen to obtain tribimaximal mixing in the neutrino se…