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arXiv 2209.02741astro-ph.COastro-ph.HEhep-phhep-th
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利用脉冲星计时阵列探测超轻标量、矢量和张量暗物质

Probing ultralight scalar, vector and tensor dark matter with pulsar timing arrays

Caner Unal, Federico R. Urban, Ely D. Kovetz

AI总结:

本研究计算脉冲星计时阵列对超轻玻色子暗物质的全频段探测能力,发现可将低质量探测范围延伸超三个数量级,利用现有15年数据可约束暗物质占比,并推广至矢量、张量暗组分探测预测。

摘要:

脉冲星计时阵列(PTA)对由超轻粒子压强引发的视线方向引力势振荡具有敏感性。我们计算了PTA对全频段超轻玻色子的探测能力,频率范围覆盖从大于观测时间倒数到小于脉冲星距离倒数的所有区间。我们表明,由于在频率小于观测时间倒数的区间内,信号振幅的增长幅度与PTA灵敏度的下降幅度相当,因此可将发现潜力向更低质量方向延伸超过三个数量级,同时保持高精度。我们证明,在$10^{-26} -10^{-23}$ eV的质量范围内,现有的15年PTA数据能够可靠地探测或排除占总暗物质比例低至$O(1 - 10)\%$的超轻组分。若未探测到信号,结合不同质量范围内的其他限制,将意味着在$10^{-30}\text{–}10^{-17}$ eV范围内,超轻标量/轴子最多仅能占暗物质的$1-10\%$。经过30年观测,当前的PTA可将探测下限延伸至$0.1-1 \%$,而SKA等下一代PTA则能达到$0.01-0.1\%$的精度。我们推广了该分析,并推导了对超轻自旋1矢量(即暗光子)和自旋2张量暗组分的预测。

英文摘要:

Pulsar timing arrays (PTAs) are sensitive to oscillations in the gravitational potential along the line-of-sight due to ultralight particle pressure. We calculate the probing power of PTAs for ultralight bosons across all frequencies, from those larger than the inverse observation time to those smaller than the inverse distance to the pulsar. We show that since the signal amplitude grows comparably to the degradation in PTA sensitivity at frequencies smaller than inverse observation time, the discovery potential can be extended towards lower masses by over three decades, maintaining high precision. We demonstrate that, in the mass range $10^{-26} -10^{-23}$ eV, existing 15-year PTA data can robustly detect or rule out an ultralight component down to $O(1 - 10)\%$ of the total dark matter. Non-detection, together with other bounds in different mass ranges, will imply that ultralight scalar/axion can comprise at most $1-10\%$ of dark matter in the $10^{-30}\!-\!10^{-17}$ eV range. With 30 years of observation, current PTAs can extend the reach down to $0.1-1 \%$, while next-generation PTAs such as SKA can attain the $0.01-0.1\%$ precision. We generalize the analysis and derive predictions for ultralight spin-1 vector (i.e. dark photon) and spin-2 tensor dark components.

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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