Bayesian Analysis of time dependence of DAMA annual modulation amplitude

Abstract

We implement a test of the variability of the per-cycle annual modulation amplitude in the different phases of the DAMA/LIBRA experiment using Bayesian model comparison. Using frequentist methods, a previous study (Kelso et al 2018) had demonstrated that the DAMA amplitudes spanning over the DAMA/NaI and the first phase of the DAMA/LIBRA phases, show a mild preference for time-dependence in multiple energy bins. With that motivation, we first show using Bayesian techniques that the aforementioned data analyzed in Kelso et al, show a moderate preference for exponentially varying amplitudes in the 2-5 and 2-6 keV energy intervals. We then carry out a similar analysis on the latest modulation amplitudes released by the DAMA collaboration from the first two phases of the upgraded DAMA/LIBRA experiment. We also analyze the single-hit residual rates released by the DAMA collaboration to further look for any possible time-dependency. However, we do not find any evidence for variability of either of the two datasets by using Bayesian model selection. All our analysis codes and datasets have been made publicly available.

14 pages, 2 figures. Analysis codes and datasets available at https://github.com/srinixbhagvati/Time-dependence-of-DAMA-LIBRA-modulation-amplitude Accepted in JCAP

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Cited by in corpus (3)

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• Search for Annual Modulation in Combined ANAIS 112 and COSINE 100 Data using Bayesian Model Comparison
• Search for variability in Newton's constant using local gravitational acceleration measurements