Baseline Optimization of Reactor Neutrino Experiments

We have applied the chi(2)-minimization technique that takes backgrounds and systematic uncertainties into account to optimize the baseline of the reactor neutrino experiments designed for determining the mixing angle theta(13) of neutrino. The effect of oscillation, systematic errors, statistic errors and backgrounds in the optimization are investigated. Although the experimental conditions may be very different, the optimal baseline is constrained in a narrow range.