  As fireball networks grow, the number of events observed becomes unfeasible
to manage by manual efforts. Reducing and analysing big data requires automated
data pipelines. Triangulation of a fireball trajectory can swiftly provide
information on positions and, with timing information, velocities. However,
extending this pipeline to determine the terminal mass estimate of a meteoroid
is a complex next step. Established methods typically require assumptions to be
made of the physical meteoroid characteristics (such as shape and bulk
density). To determine which meteoroids may have survived entry there are
empirical criteria that use a fireball's final height and velocity - low and
slow final parameters are likely the best candidates. We review the more
elegant approach of the dimensionless coefficient method. Two parameters,
$\alpha$ (ballistic coefficient) and $\beta$ (mass-loss), can be calculated for
any event with some degree of deceleration, given only velocity and height
information. $\alpha$ and $\beta$ can be used to analytically describe a
trajectory with the advantage that they are not mere fitting coefficients; they
also represent the physical meteoroid properties. This approach can be applied
to any fireball network as an initial identification of key events and
determine on which to concentrate resources for more in depth analyses. We used
a set of 278 events observed by the Desert Fireball Network to show how
visualisation in an $\alpha$ - $\beta$ diagram can quickly identify which
fireballs are likely meteorite candidates.
