Recommended conventions for reporting results from direct dark matter searches
Recommended conventions for reporting results from direct dark matter searches
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DOI：
10.1140/epjc/s10052-021-09655-y
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发表时间：
2021-10-01
影响因子：
4.4
通讯作者：
Zhou, N.
中科院分区：
文献类型：
--
作者：
Baxter, D.;Bloch, I. M.;Zhou, N.
暗物质探测领域是一个高度可见、竞争激烈的领域。在这篇文章中，我们提出了特别适合于弱尺度暗物质搜索的暗物质直接探测结果的建议，尽管我们相信建议的精神可以更广泛地适用于对其他候选暗物质的搜索，例如非常轻的暗物质或轴子。为了将实验数据转化为最终公布的结果，直接探测合作伙伴必须在分析中做出一系列选择，从如何对天体物理参数进行建模，到如何根据观测数据做出统计推断。虽然许多合作在某些领域遵循一套标准的建议，例如暗物质粒子的预期通量(在很大程度上是基于勒文和史密斯1995年的一篇论文)，但在其他领域，特别是在统计推断方面，他们采取了不同的方法，往往是由相同的合作产生的结果。我们就如何将现在常用的轮廓似然比方法应用于直接检测数据提出了一些建议。此外，还提供了关于标准晕模型天体物理参数和相关中微子通量的最新建议。本报告的作者包括DAMIC、Darkside、Darwin、DEAP、LZ、NEWS-G、PandaX、Pico、SBC、SENSEI、SuperCDMS和XEON合作组织的成员，这些合作为本文提出的建议提供了投入。这些建议的广泛采用将使比较和结合未来的暗物质结果变得更容易。
The field of dark matter detection is a highly visible and highly competitive one. In this paper, we propose recommendations for presenting dark matter direct detection results particularly suited for weak-scale dark matter searches, although we believe the spirit of the recommendations can apply more broadly to searches for other dark matter candidates, such as very light dark matter or axions. To translate experimental data into a final published result, direct detection collaborations must make a series of choices in their analysis, ranging from how to model astrophysical parameters to how to make statistical inferences based on observed data. While many collaborations follow a standard set of recommendations in some areas, for example the expected flux of dark matter particles (to a large degree based on a paper from Lewin and Smith in 1995), in other areas, particularly in statistical inference, they have taken different approaches, often from result to result by the same collaboration. We set out a number of recommendations on how to apply the now commonly used Profile Likelihood Ratio method to direct detection data. In addition, updated recommendations for the Standard Halo Model astrophysical parameters and relevant neutrino fluxes are provided. The authors of this note include members of the DAMIC, DarkSide, DARWIN, DEAP, LZ, NEWS-G, PandaX, PICO, SBC, SENSEI, SuperCDMS, and XENON collaborations, and these collaborations provided input to the recommendations laid out here. Wide-spread adoption of these recommendations will make it easier to compare and combine future dark matter results.