  A new approach to jet-shape identification based on linear regression is
discussed. It is designed for searches for new particles at the TeV scale
decaying hadronically with strongly collimated jets. We illustrate the method
using a Monte Carlo simulation for pp collisions at the LHC with the goal to
reduce the contribution of QCD-induced events. We focus on a rather generic
example X to ttbar to hadrons, with X being a heavy particle, but the approach
is well suited for reconstruction of other decay channels characterized by a
cascade decay of known states.
