直接暗物质搜寻结果报告的推荐惯例
Recommended conventions for reporting results from direct dark matter searches
AI总结：
本文由多个暗物质直接探测合作组共同提出一套推荐惯例，涵盖剖面似然比统计方法、标准晕模型参数及中微子通量，旨在统一分析流程，便于未来结果比较与合并。
摘要：
暗物质探测领域是一个高度可见且竞争激烈的领域。在本文中，我们提出了针对弱尺度暗物质搜寻的暗物质直接探测结果呈现建议，尽管我们认为这些建议的精神可以更广泛地应用于其他暗物质候选者的搜寻，例如极轻暗物质或轴子。为了将实验数据转化为最终发表的结果，直接探测合作组必须在其分析中做出系列选择，从如何建模天体物理参数到如何基于观测数据进行统计推断。虽然许多合作组在某些领域遵循一套标准建议，例如暗物质粒子的预期通量（在很大程度上基于Lewin和Smith在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，往往同一合作组的不同结果之间也有所不同。我们提出了一系列关于如何将现在常用的剖面似然比方法应用于直接探测数据的建议。此外，还提供了标准晕模型天体物理参数和相关中微子通量的更新建议。本说明的作者包括DAMIC、DarkSide、DARWIN、DEAP、LZ、NEWS-G、PandaX、PICO、SBC、SENSEI、SuperCDMS和XENON合作组的成员，这些合作组为这里列出的建议提供了意见。广泛采用这些建议将使未来暗物质结果的比较和合并变得更加容易。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
