We present new results on the performance of jet substructure techniques
and their use in distinguishing the signatures of new boosted massive particles
from the QCD background. Advanced approaches to jet reconstruction using jet
grooming algorithms such as filtering, trimming, and pruning are compared.
Measurements of the jet invariant mass for each jet algorithm are compared both
at the particle level to multiple Monte Carlo event generators and at the
detector level for several configurations of the jet grooming algorithms.
The performance of these strategies and improvements in search
sensitivity for new boosted hadronic particles are compared. Recent results
using these techniques for both boosted RPV gluinos and top quark pairs from
new particles are presented. The result is a comprehensive foundation for the
use of substructure algorithms in the search for new physics at the LHC