Initial conditions and sampling for multifield inflation
  We investigate the initial conditions problem for multifield inflation. In
these scenarios the pre-inflationary dynamics can be chaotic, increasing the
sensitivity of the onset of inflation to the initial data even in the
homogeneous limit. To analyze physically equivalent scenarios we compare
initial conditions at fixed energy. This ensures that each trajectory is
counted once and only once, since the energy density decreases monotonically.
We present a full analysis of hybrid inflation that reveals a greater degree of
long range order in the set of "successful" initial conditions than was
previously apparent. We explore the effective smoothing scale for the fractal
set of successful initial conditions induced by the finite duration of the
pre-inflationary phase. The role of the prior information used to specify the
initial data is discussed in terms of Bayesian sampling.
