Dark Energy Survey Year 3 results: curved-sky weak lensing mass map
  reconstruction
  We present reconstructed convergence maps, \textit{mass maps}, from the Dark
Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The
mass maps are weighted projections of the density field (primarily dark matter)
in the foreground of the observed galaxies. We use four reconstruction methods,
each is a \textit{maximum a posteriori} estimate with a different model for the
prior probability of the map: Kaiser-Squires, null B-mode prior, Gaussian
prior, and a sparsity prior. All methods are implemented on the celestial
sphere to accommodate the large sky coverage of the DES Y3 data. We compare the
methods using realistic $\Lambda$CDM simulations with mock data that are
closely matched to the DES Y3 data. We quantify the performance of the methods
at the map level and then apply the reconstruction methods to the DES Y3 data,
performing tests for systematic error effects. The maps are compared with
optical foreground cosmic-web structures and are used to evaluate the lensing
signal from cosmic-void profiles. The recovered dark matter map covers the
largest sky fraction of any galaxy weak lensing map to date.
