  We use a combination of full hydrodynamic and dark matter only simulations to
investigate the effect that baryonic physics and selecting super-cluster
regions have on the matter power spectrum, by re-simulating a sample of
super-cluster sub-volumes. On large scales we find that the matter power
spectrum measured from our super-cluster sample has at least twice as much
power as that measured from our random sample. Our investigation of the effect
of baryonic physics on the matter power spectrum is found to be in agreement
with previous studies and is weaker than the selection effect over the majority
of scales. In addition, we investigate the effect of targeting a cosmologically
non-representative, super-cluster region of the sky on the weak lensing shear
power spectrum. We do this by generating shear and convergence maps using a
line of sight integration technique, which intercepts our random and
super-cluster sub-volumes. We find the convergence power spectrum measured from
our super-cluster sample has a larger amplitude than that measured from the
random sample at all scales. We frame our results within the context of the
Super-CLuster Assisted Shear Survey (Super-CLASS), which aims to measure the
cosmic shear signal in the radio band by targeting a region of the sky that
contains five Abell clusters. Assuming the Super-CLASS survey will have a
source density of 1.5 galaxies/arcmin$^2$, we forecast a detection significance
of $2.7^{+1.5}_{-1.2}$, which indicates that in the absence of systematics the
Super-CLASS project could make a cosmic shear detection with radio data alone.
