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arXiv 2403.18751astro-ph.HE
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在归档LSST数据中识别LISA大质量黑洞双星的电磁对应体

Identifying the electromagnetic counterparts of LISA massive black hole binaries in archival LSST data

Chengcheng Xin, Zoltan Haiman

AI总结:

本研究评估了LISA探测到的大质量黑洞双星能否在LSST归档数据中被唯一识别为周期性类星体,发现利用引力波波形预测属性并结合频率啁啾特征,四个基准双星在合并前的误报概率低于$10^{-5}$,从而支持后续电磁观测。

摘要:

Vera C. Rubin天文台的时空遗产巡天(LSST)将对多达1亿个类星体的光变曲线进行编目。其中大约有100个超紧凑大质量黑洞(MBH)双星,它们在5-15年后可被激光干涉空间天线(LISA)通过引力波(GWs)探测到。在此我们假设LISA已探测到来自一个MBH双星的引力波,并评估其电磁(EM)对应体能否在归档LSST数据中被唯一识别为周期性类星体。我们利用从LISA波形推导出的双星属性,如其轨道频率的过去演化、总质量、距离和天空定位,来预测归档LSST数据中预期类星体的红移、星等和历史周期性。然后我们使用蒙特卡洛模拟来计算误报概率,即LSST星表中偶然匹配这些属性的类星体数量,该计算基于(外推的)类星体光度函数、LSST的采样节奏以及内在的“阻尼随机游走(DRW)”类星体变率。我们对四个基准LISA双星进行分析,其总质量和红移为$(M_{\rm bin}/{\rm M_{\odot}},z) = (3\times10^5,0.3)$、$(3\times10^6,0.3)$、$(10^7,0.3)$和$(10^7,1)$。虽然DRW噪声和LSST采样节奏导致的混叠可能偶然产生虚假周期性,但我们发现LISA源在LSST观测期间的频率啁啾会消除这些噪声峰,使真实源在Lomb-Scargle周期图中凸显出来。我们发现所有四个基准双星都有极好的机会被唯一识别,在合并前一周或更早时其误报概率低于$10^{-5}$。这使得在双星旋近阶段能够对单个电磁对应体进行深度后续电磁观测。

英文摘要:

The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will catalogue the light-curves of up to 100 million quasars. Among these there can be up to approximately 100 ultra-compact massive black hole (MBH) binaries, which 5-15 years later can be detected in gravitational waves (GWs) by the Laser Interferometer Space Antenna (LISA). Here we assume that GWs from a MBH binary have been detected by LISA, and we assess whether or not its electromagnetic (EM) counterpart can be uniquely identified in archival LSST data as a periodic quasar. We use the binary's properties derived from the LISA waveform, such as the past evolution of its orbital frequency, its total mass, distance and sky localization, to predict the redshift, magnitude and historical periodicity of the quasar expected in the archival LSST data. We then use Monte Carlo simulations to compute the false alarm probability, i.e. the number of quasars in the LSST catalogue matching these properties by chance, based on the (extrapolated) quasar luminosity function, the sampling cadence of LSST, and intrinsic ``damped random walk (DRW)" quasar variability. We perform our analysis on four fiducial LISA binaries, with total masses and redshifts of $(M_{\rm bin}/{\rm M_{\odot}},z) = (3\times10^5,0.3)$, $(3\times10^6,0.3)$, $(10^7,0.3)$ and $(10^7,1)$. While DRW noise and aliasing due to LSST's cadence can produce false periodicities by chance, we find that the frequency chirp of the LISA source during the LSST observations washes out these noise peaks and allows the genuine source to stand out in Lomb-Scargle periodograms. We find that all four fiducial binaries yield excellent chances to be uniquely identified, with false alarm probabilities below $10^{-5}$, a week or more before their merger. This then enables deep follow-up EM observations targeting the individual EM counterparts during their inspiral stage.

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