A Sparse Spectroscopic Supernova Survey
  Supernova cosmology surveys are traditionally time consuming, especially for
the critical spectroscopic data. However, a single spectrum at maximum light
may provide accurate distance estimation if recent developments hold. This
could open up a new type of supernova cosmology survey, with a useful
interaction between the spectra and a focus on specific redshifts. We optimize
the redshift selection and show that this condensed survey could efficiently
deliver highly accurate dark energy constraints.
