Rapid modelling of the redshift-space power spectrum multipoles for a
  masked density field
  In this work we reformulate the forward modelling of the redshift-space power
spectrum multipole moments for a masked density field, as encountered in galaxy
redshift surveys. Exploiting the symmetries of the redshift-space correlation
function, we provide a masked-field generalisation of the Hankel transform
relation between the multipole moments in real and Fourier space. Using this
result, we detail how a likelihood analysis requiring computation for a broad
range of desired $P(k)$ models may be executed $10^3-10^4$ times faster than
with other common approaches, together with significant gains in spectral
resolution. We present a concrete application to the complex angular geometry
of the VIPERS PDR-1 release and discuss the validity of this technique for
finite-angle surveys.
