Effects of mass models on dynamical mass estimate: the case of ultra
  diffuse galaxy NGC1052-DF2
  NGC1052-DF2 was recently discovered as the dark-matter deficient galaxy
claimed by van Dokkum et al. (2018a, vD18). However, large uncertainties on its
dynamical mass estimate have been pointed out, concerning the paucity of
sample, statistical methods and distance measurements. In this work, we discuss
the effects of the difference in modeling of the tracer profile of this galaxy
on the dynamical mass estimate. To do this, we assume that the tracer densities
are modeled with power-law and S\'ersic profiles, and then we solve the
spherical Jeans equation to estimate the dynamical mass. Applying these models
to kinematic data of globular clusters in NGC1052-DF2, we compare 90 per cent
upper limits of dynamical mass-to-light ratios estimated between from this
analysis and from vD18. We find that the upper limit obtained by the power-law
is virtually the same as the result from vD18, whilst this limit estimated by
the S\'ersic is significantly greater than that from vD18, thereby suggesting
that NGC1052-DF2 can still be a dark-matter dominated system. Consequently, we
propose that dynamical mass estimate of a galaxy is largely affected by not
only small kinematic sample but the choice of tracer distributions, and thus
the estimated mass still remains quite uncertain.
