  The SDSS-IV/MaNGA Survey data provide an unprecedented opportunity to study
the internal motions of galaxies and, in particular, represent the largest
sample of barred galaxy kinematic maps obtained to date. We present results
from Nirvana, our non-axisymmetric kinematic modeling code built with a
physically-motivated Bayesian forward modeling approach, which decomposes MaNGA
velocity fields into first- and second-order radial and tangential rotational
modes in a generalized and minimally-supervised fashion. We use Nirvana to
produce models and rotation curves for 1263 unique barred MaNGA galaxies and a
matched unbarred control sample We present our modeling approach, tests of its
efficacy, and validation against existing visual bar classifications. Nirvana
finds elevated non-circular motions in galaxies identified as bars in imaging,
and bar position angles that agree well with visual measurements. The
Nirvana-MaNGA barred and control samples provide a new opportunity for studying
the influence of non-axisymmetric internal disk kinematics in a large
statistical sample.
