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亚GeV暗物质通过单声子激发探测中的天体物理不确定性

Astrophysical Uncertainties in Sub-GeV Dark Matter Detection via Single Phonon Excitations

University of Utah(犹他大学)

Xu-Xiang Li, Navaneetha Valsan, Zhengkang Zhang

AI总结:

首次系统研究局部暗物质速度分布不确定性如何传播到暗物质-单声子散射的直接探测率,通过引入均方根匹配方法比较三种基准晕模型,发现模型内参数变化主导不确定性,并给出O(1%)到O(100%)的预测率偏差。

摘要:

我们首次系统研究了局部暗物质速度分布不确定性如何传播到暗物质-单声子散射的直接探测率。我们考虑了三种基准晕模型——标准晕模型、Tsallis模型和经验模型——并在观测动机范围内变化天体物理参数。为了公平比较晕模型,我们引入了一种均方根匹配方法,使得各模型中的平均暗物质动能保持不变。使用该方法,晕模型之间的差异被证明小于每个模型内的参数变化,因此天体物理不确定性可以通过仅在标准晕模型内变化参数来有效捕获。我们发现,在感兴趣的暗物质质量范围内,预测率的分数偏差为$\mathcal{O}(1\%)$到$\mathcal{O}(100\%)$。对于日调制信号,天体物理参数变化会重新缩放振幅,但相位保持稳健。这些结果为可靠解释即将进行的针对亚GeV暗物质的基于声子的直接探测实验提供了及时输入。

英文摘要:

We present the first systematic study of how local dark matter velocity distribution uncertainties propagate into direct detection rates for dark matter--single phonon scattering. We consider three benchmark halo models -- Standard Halo Model, Tsallis and empirical -- and vary the astrophysical parameters within observationally motivated ranges. To compare halo models on equal footing, we introduce an rms-matching prescription that holds the mean dark matter kinetic energy fixed across models. With this prescription, differences between halo models prove subdominant to parameter variations within each model, so that astrophysical uncertainties can be effectively captured by varying parameters within the Standard Halo Model alone. We find $\mathcal{O}(1\%)$ to $\mathcal{O}(100\%)$ fractional deviations in the predicted rates across the dark matter mass range of interest. For the daily modulation signal, astrophysical parameter variations rescale the amplitude but leave the phase robust. These results provide timely input for reliably interpreting upcoming phonon-based direct detection experiments targeting sub-GeV dark matter.

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