Consider a continuous time random walk in with independent and exponentially distributed jumps . The model in this paper consists in an infinite number of such random walks starting from the complement of at time -t, returning to the same starting positions at time t, and conditioned not to intersect. This yields a determinantal process, whose gap probabilities are given by the Fredholm determinant of a kernel. Thus this model consists of two groups of random walks, which are contained within two ellipses which, with the choice to leading order, just touch: so we have a tacnode. We determine the new limit extended kernel under the scaling , where parameter controls the strength of interaction between the two groups of random walkers.

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