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arXiv 2603.26196astro-ph.HEastro-ph.GA
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双脉冲星计时探测暗物质子结构的挑战

Challenges in Binary Pulsar Timing Detection of Dark Matter Subhalos

Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences(中国科学院紫金山天文台暗物质与空间天文重点实验室);School of Astronomy and Space Science, University of Science and Technology of China(中国科学技术大学天文与空间科学学院)

Zheng-Long Wang, Zi-Qing Xia, Yue-Lin Sming Tsai, Yi-Zhong Fan

AI总结:

建立分析框架评估双脉冲星计时探测太阳邻域暗物质子结构的可行性,发现现有数据检测概率极低,未来SKA观测前景也不乐观。

摘要:

最近,双脉冲星计时被提议作为探测太阳邻域质量约为$10^7\\,M_{\odot}$的暗物质子结构的可行方法。我们提出了一个全面的分析框架,该框架结合了子结构质量函数、视线加速度的投影效应以及双星系统联合探测的时空几何要求,从而能够定量评估附近子结构的可探测性。将该框架应用于当前的双脉冲星样本,我们发现有效体积内至少探测到一个子结构的概率$\leq 1.7 \times 10^{-4}$。独立的计时残差分析显示,视线加速度没有超出数据驱动的银河系引力势模型预测的统计显著过剩。这些结果对利用现有脉冲星计时数据探测质量$<10^8~M_{\odot}$的暗物质子结构施加了严格约束,与这类子结构在太阳邻域存活概率低的理论预期一致。即使对于未来的平方公里阵列观测,低探测前景仍然存在。

英文摘要:

Recently, binary pulsar timing has been proposed as a viable probe of dark matter subhalos with masses of $\sim 10^7\,M_{\odot}$ in the solar neighborhood. We present a comprehensive analytical framework that incorporates the subhalo mass function, projection effects of line-of-sight acceleration, and the spatiotemporal geometric requirements for joint detection by binary systems, enabling a quantitative evaluation of the detectability of nearby subhalos. Applying this framework to the current binary pulsar sample, we find a probability $\leq 1.7 \times 10^{-4}$ of detecting at least one subhalo within the effective volume. An independent timing residual analysis shows no statistically significant excess in line-of-sight accelerations beyond predictions from data-driven Galactic gravitational potential models. These results place stringent constraints on detecting $<10^8~M_{\odot}$ dark matter subhalos with existing pulsar timing data, aligning with the theoretical expectation that such subhalos have a low survival probability in the solar neighborhood. A low detection prospect still holds even for future Square Kilometre Array observations.

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。

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