We study a model of non-intersecting squared Bessel processes in the confluent case: all paths start at time at the same positive value $x = at = Tx = 0$. In the limit , after appropriate rescaling, the paths fill out a region in the -plane that we describe explicitly. In particular, the paths initially stay away from the hard edge at , but at a certain critical time the smallest paths hit the hard edge and from then on are stuck to it. For we obtain the usual scaling limits from random matrix theory, namely the sine, Airy, and Bessel kernels. A key fact is that the positions of the paths at any time constitute a multiple orthogonal polynomial ensemble, corresponding to a system of two modified Bessel-type weights. As a consequence, there is a matrix valued Riemann-Hilbert problem characterizing this model, that we analyze in the large limit using the Deift-Zhou steepest descent method. There are some novel ingredients in the Riemann-Hilbert analysis that are of independent interest.

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