  Regular sampling in the time domain results in aliasing in the frequency
domain that complicates the accurate determination of the periods of
astrophysical variables. We propose to actively break the regularity of this
sampling by providing an additional consideration for the scheduler that
weights fields according to when observations will contribute the least to
aliasing. The current aliases for each field can be computed during daytime
from the history of observations. We can then calculate the times when
additional observations would worsen or alleviate these aliases for different
fields. The scheduler should give preference to observation epochs that lessen
the effect of aliasing, while still meeting all other cadence requirements.
