http://arxiv.org/abs/1907.07199
We perform an independent search for annual modulation in the recently released COSINE-100 data, which could be induced by dark matter scatterings. 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 method, information theoretic techniques (such as AIC and BIC), and finally a Bayesian model comparison technique. Both the frequentist and Bayesian techniques reveal no significant differences between the two hypotheses, whereas the null hypothesis is slightly favored according to AIC and BIC-based tests. 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.
A. Krishak and S. Desai
Thu, 18 Jul 19
22/64
Comments: 5 pages, 1 figure. Analysis code and data available from this https URL
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