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arXiv 2511.04400astro-ph.COastro-ph.IMgr-qc
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人工精度极化阵列:用于轴子类暗物质的钟卫星灵敏度

Artificial Precision Polarization Array: Sensitivity for the axion-like dark matter with clock satellites

National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences(中国科学院大学杭州高等研究院基础物理与数学学院);School of Astronomy and Space Science, University of Chinese Academy of Sciences(中国科学院大学天文学与空间科学学院)

Hanyu Jiang, Baoyu Xu, Yun-Long Zhang

AI总结:

本文提出人工极化阵列(APPA)以提高轴子-光子耦合参数的灵敏度,通过模拟观测和分析方法,展示了其在轴子质量范围内的优势。

摘要:

基于脉冲星的轴子信号搜索方法包括脉冲星定时阵列(PTAs)和脉冲星极化阵列(PPAs)。然而,这些方法受限于观测不确定性,源于多种未知且周期性的物理效应,显著复杂化后续数据分析。为缓解这些问题并提高数据保真度,我们提出人工脉冲星极化阵列(APPA):由多个脉冲信号发射机和专用接收卫星组成的卫星网络。为约束轴子-光子耦合参数$g_{aγ}$,我们利用蒙特卡洛方法生成模拟观测,并通过似然分析和频率分析两种互补方法研究APPA的灵敏度。模拟表明,对于轴子质量范围$10^{-22}-10^{-18}$ eV,APPA在95%置信水平下对$g_{aγ}$的上限限制比传统地面观测更严格,同时实现更优越的探测灵敏度。此外,卫星网络更大的空间分布规模对应于更有利于探测质量较轻的轴子。

英文摘要:

The approaches to searching for axion-like signals based on pulsars include observations with pulsar timing arrays (PTAs) and pulsar polarization arrays (PPAs). However, these methods are limited by observational uncertainties arising from multiple unknown and periodic physical effects, which substantially complicate subsequent data analysis. To mitigate these issues and improve data fidelity, we propose the Artificial Pulsar Polarization Arrays (APPA): a satellite network comprising multiple pulsed signal transmitters and a dedicated receiver satellite. To constrain the axion-photon coupling parameter $g_{aγ}$, we generate simulated observations using Monte Carlo methods and investigate the sensitivity of APPA using two complementary approaches: Likelihood analysis and frequentist analysis. Simulations indicate that for the axion mass range of $10^{-22}-10^{-18}$ eV, APPA yields a tighter upper limit on $g_{aγ}$ (at the 95\% C.L.) than conventional ground-based observations, while also achieving superior detection sensitivity. Moreover, a larger spatial distribution scale of the satellite network corresponds to a greater advantage in detecting axions with lighter masses.

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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