Stellar Streams as Probes of Dark Halo Mass and Morphology: A Bayesian
  Reconstruction
  Tidal streams provide a powerful tool by means of which the matter
distribution of the dark matter halos of their host galaxies can be studied.
However, the analysis is not straightforward because streams do not delineate
orbits, and for most streams, especially those in external galaxies, kinematic
information is absent. We present a method wherein streams are fit with simple
corrections made to possible orbits of the progenitor, using a Bayesian
technique known as Parallel Tempering to efficiently explore the parameter
space. We show that it is possible to constrain the shape of the host halo
potential or its density distribution using only the projection of tidal
streams on the sky, if the host halo is considered to be axisymmetric. By
adding kinematic data or the circular velocity curve of the host to the fitting
data, we are able to recover other parameters of the matter distribution such
as its mass and profile. We test our method on several simulated low mass
stellar streams and also explore the cases for which additional data are
required.
