  The study of standard QCD jets produced along with fat jets, which may appear
as a result of the decay of a heavy particle, has become an essential part of
collider studies. Current jet clustering algorithms, which use a fixed radius
parameter for the formation of jets from the hadrons of an event, may be
inadequate to capture the differing radius features. In this work, we develop
an alternative jet clustering algorithm that allows the radius to vary
dynamically based on local kinematics and distribution in the $\eta$-$\phi$
plane inside each evolving jet. We present the usefulness of this dynamic
radius clustering algorithm through two Standard Model processes, and
thereafter illustrate it for a scenario beyond the Standard Model at the 13 TeV
LHC.
