Optimization of spectroscopic surveys for testing non-Gaussianity
  We investigate optimization strategies to measure primordial non-Gaussianity
with future spectroscopic surveys. We forecast measurements coming from the 3D
galaxy power spectrum and compute constraints on primordial non-Gaussianity
parameters f_NL and n_NG. After studying the dependence on those parameters
upon survey specifications such as redshift range, area, number density, we
assume a reference mock survey and investigate the trade-off between number
density and area surveyed. We then define the observational requirements to
reach the detection of f_NL of order 1. Our results show that while power
spectrum constraints on non-Gaussianity from future spectroscopic surveys can
be competitive with current CMB limits, measurements from higher-order
statistics will be needed to reach a sub unity precision in the measurements of
the non-Gaussianity parameter f_NL.
