  We present data-driven methods for the full reconstruction of jets in heavy
ion collisions, for inclusive and co-incidence jet measurements at both RHIC
and LHC. The complex structure of heavy ion events generates a large background
of combinatorial jets, and smears the measured energy of the true hard jet
signal. Techniques to correct for these background effects can induce biases in
the reported jet distributions, which must be well controlled for accurate
measurement of jet quenching. Using model studies, we evaluate the proposed
methods for measuring jet distributions accurately while minimizing the
fragmentation bias of the measured population.
