论文标题
世俗变化的年度调制：不放松Dama？
Annual modulations from secular variations: not relaxing DAMA?
论文作者
论文摘要
在最近的一篇论文[Arxiv：2002.00459]中，Buttazzo等人。说明如何由于时间依赖性背景和考虑其方法的相互作用而可以将Dama实验的年度调制率解释为人工制品。在这项工作中，我们将此假设与Dama合作提出的正弦暗物质信号进行了比较。我们在贝叶斯方法中产生了一个定量比较，以比较实验观察的数量支持每个假设。我们的结论是，在考虑了Dama/Nai和Dama/Libra实验的公共可用数据之后，贝叶斯因素大于10^8的贝叶斯因子对年度调制的造成的假设的几率减少了。在这项工作中，我们还详细介绍了分析程序的一般方面。确实，为了优化背景减法程序，Dama协作仅考虑大约一年的数据记录。我们认为，任何数据获取周期都是有益的，我们提出了一个程序来包括此效果，以及在背景中包括一个缓慢变化的组成部分的可能性。
In a recent paper [arXiv:2002.00459], Buttazzo et al. show how the annually modulated rate of the DAMA experiments can be possibly interpreted as an artefact due to the interplay between a time-dependent background and the method to account for it. In this work, we compare this hypothesis against the sinusoidal dark matter signal as proposed by the DAMA collaboration. We produce in a Bayesian approach a quantitative comparison of how much the experimental observations are in support of each hypothesis. Our conclusions are that the odds against the hypothesis of a time varying background being responsible for the annual modulation are decreased by a Bayes factor larger than 10^8 after considering the public available data of the DAMA/NaI and DAMA/LIBRA experiments. In this work we also elaborate on general aspects of the analysis procedure. Indeed, in order to optimise the background subtraction procedure, the DAMA collaboration only considers data-taking cycles with a duration of roughly one year. We argue that any data-taking cycle is informative, and we propose a procedure to include this effect, as well as the possibility to include a slowly varying component for the background.
