论文标题
改进的斧头暗物质搜索的分析框架
An improved analysis framework for axion dark matter searches
论文作者
论文摘要
在搜索轴基暗物质的实验中，基于标准阈值的数据分析的使用丢弃了有价值的信息。我们提出了一个贝叶斯分析框架，该框架建立在现有的处理协议上，以从相干轴测检测器（例如操作卤代）的数据中提取更多信息。该分析避免了伴随标准分析框架伴随的逻辑微妙，并在未来的数据运行中具有更大的实验灵活性。在Haystac实验中对现有数据进行此分析，我们发现了对轴偶联$g_γ$的限制，同时还确定了最有希望的参数空间区域内$ 23.15 $ - $ 24.0.0.0 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $μ$ $ ev质量范围。与标准阈值分析的比较表明，从我们的分析中，扫描速率提高了$ 36 \％$，这证明了该框架对未来轴突卤素分析的实用性。
In experiments searching for axionic dark matter, the use of the standard threshold-based data analysis discards valuable information. We present a Bayesian analysis framework that builds on an existing processing protocol to extract more information from the data of coherent axion detectors such as operating haloscopes. The analysis avoids logical subtleties that accompany the standard analysis framework and enables greater experimental flexibility on future data runs. Performing this analysis on the existing data from the HAYSTAC experiment, we find improved constraints on the axion-photon coupling $g_γ$ while also identifying the most promising regions of parameter space within the $23.15$--$24.0$ $μ$eV mass range. A comparison with the standard threshold analysis suggests a $36\%$ improvement in scan rate from our analysis, demonstrating the utility of this framework for future axion haloscope analyses.
