  At the Large Hadron Collider, numerous physics processes expected within the
standard model and theories beyond it give rise to very high momentum particles
decaying to multihadronic final states. Development of algorithms for efficient
identification of such "boosted" particles while rejecting the background from
multihadron jets from light quarks and gluons can greatly aid in the
sensitivity of measurements and new particle searches. This paper presents a
new method for identifying boosted high-mass particles using event shapes in
Lorentz-boosted reference frames. Variables calculated in these frames for
multihadronic jets can then be used as input to a large artificial neural
network to discriminate their origin.
