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We report the results of Monte Carlo simulations of a medium baseline reactorneutrino experiment. The difference in baselines resulting from the 1 kmseparations of Daya Bay and Ling Ao reactors reduces the amplitudes of 1-3oscillations at low energies, decreasing the sensitivity to the neutrino masshierarchy. A perpendicular detector location eliminates this effect. Wesimulate experiments under several mountains perpendicular to the Daya Bay/LingAo reactors, considering in particular the background from the TaiShan andYangJiang reactor complexes. In general the hierarchy can be determined mostreliably underneath the 1000 meter mountain BaiYunZhang, which is 44.5 km fromDaya Bay. If some planned reactors are not built then nearby 700 metermountains at 47-51 km baselines gain a small advantage. Neglecting their lowoverhead burdens, hills near DongKeng would be the optimal locations. We use aweighted Fourier transform to avoid a spurious dependence on the high energyneutrino spectrum and find that a neural network can extract quantities whichdetermine the hierarchy marginally better than the traditional RL + PV.

Mass Hierarchy Determination Using Neutrinos from Multiple Reactors