Distribution of escape times in a driven stochastic model

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Abstract
We analyze the probability distribution of escape times out of a metastable well for a stochastic model driven by a large-amplitude sinusoidal time-dependent field. The system obeys a Langevin equation which is solved numerically by generating stochastic trajectories, both for a white and for an Ornstein-Uhlenbeck noise. The probability distribution changes from monomodal to multimodal as the noise strength is increased. The average escape time shows a nonmonotonic behavior with the noise intensity which is associated with the change in the structure of the probability distribution. For a noise with a correlation time much longer than the period of the driving field, the resonance effects are enhanced with respect to the white-noise case.

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