An independent assessment of significance of annual modulation in
  COSINE-100 data
  We perform an independent search for annual modulation caused by dark
matter-induced scatterings in the recently released COSINE-100 data. We test
the hypothesis that the data contains a sinusoidal modulation against the null
hypothesis that the data consists of only background. We compare the
significance using frequentist, information theoretic techniques (such as AIC
and BIC), and also using the Bayesian model comparison technique. The
information theory-based tests mildly prefer a constant background over a
sinusoidal signal with the same period as that found by the DAMA collaboration.
The Bayesian test however strongly prefers a background model. This is the
first proof of principles demonstration of application of Bayesian and
information theory based techniques to COSINE-100 data to assess the
significance of annual modulation.
