  Imaging atmospheric Cherenkov telescope (IACT) arrays such as VERITAS are
used for ground-based very high-energy gamma-ray astronomy. This is
accomplished by the detection and analysis of the Cherenkov light produced by
gamma-ray-initiated atmospheric air showers. IACTs also detect the Cherenkov
light emitted by individual muons. Identification of these muons is useful
because their Cherenkov light can be used to calibrate the telescopes. Muons
create characteristic annular patterns in the cameras of IACTs, which may be
identified using parametrization algorithms. One such algorithm, the Hough
transform, has been successfully used to identify muons in VERITAS data.
Details of this technique are presented here, including results regarding its
effectiveness.
