To determine the nature of dark energy from observational data, it is
important that we use model-independent and optimal methods. We should probe
dark energy using its density (allowed to be a free function of cosmic time)
instead of its equation of state. We should minimize gravitational lensing
effect on supernovae by flux-averaging. We need to include complementary data
(for example, from the Cosmic Microwave Background [CMB] and large scale
structure [LSS]) in a consistent manner to help break the degeneracy between
the dark energy density and the matter density fraction. We should push for
ambitious future supernova surveys that can observe a large number of
supernovae at the highest possible redshifts. I discuss these and other issues
that will be important in our quest to unravel the mystery of the nature of
dark energy.
Current supernova, CMB, and LSS data already rule out dark energy models with
dark energy densities that vary greatly with time; with the cosmological
constant model providing an excellent fit to the data. A precise measurement of
dark energy density as a free function of cosmic time will have a fundamental
impact on particle physics and cosmology.Comment: 9 pages, 3 color figures, to appear in proceedings of the 6th UCLA
Symposium on "Sources and Detection of Dark Matter and Dark Energy in the
Universe