  The $N$-particle branching random walk is a discrete time branching particle
system with selection. We have $N$ particles located on the real line at all
times. At every time step each particle is replaced by two offspring, and each
offspring particle makes a jump of non-negative size from its parent's
location, independently from the other jumps, according to a given jump
distribution. Then only the $N$ rightmost particles survive; the other
particles are removed from the system to keep the population size constant.
Inspired by work of J. B\'erard and P. Maillard, we examine the long term
behaviour of this particle system in the case where the jump distribution has
regularly varying tails and the number of particles is large. We prove that at
a typical large time the genealogy of the population is given by a star-shaped
coalescent, and that almost the whole population is near the leftmost particle
on the relevant space scale.
