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The Fate of Neutron Star Binary Mergers

机译:中子星二元合并的命运

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Following merger, a neutron star (NS) binary can produce roughly one of three different outcomes: (1) a stable NS, (2) a black hole (BH), or (3) a supramassive, rotationally supported NS, which then collapses to a BH following angular momentum losses. Which of these fates occur and in what proportion has important implications for the electromagnetic transient associated with the mergers and the expected gravitational wave (GW) signatures, which in turn depend on the high density equation of state (EOS). Here we combine relativistic calculations of NS masses using realistic EOSs with Monte Carlo population synthesis based on the mass distribution of NS binaries in our Galaxy to predict the distribution of fates expected. For many EOSs, a significant fraction of the remnants are NSs or supramassive NSs. This lends support to scenarios in which a quickly spinning, highly magnetized NS may be powering an electromagnetic transient. This also indicates that it will be important for future GW observatories to focus on high frequencies to study the post-merger GW emission. Even in cases where individual GW events are too low in signal to noise to study the post merger signature in detail, the statistics of how many mergers produce NSs versus BHs can be compared with our work to constrain the EOS. To match short gamma-ray-burst (SGRB) X-ray afterglow statistics, we find that the stiffest EOSs are ruled out. Furthermore, many popular EOSs require a significant fraction of similar to 60%-70% of SGRBs to be from NS-BH mergers rather than just binary NSs.
机译:合并之后,中子星(NS)二进制可以产生三种不同结果中的大约一个:(1)稳定的Ns,(2)黑洞(BH),或(3)Supramassive,旋转支撑的NS,然后折叠在角动量损失之后的一只BH。这些命运中的哪一个发生,并且在比例对与合并相关的电磁瞬态和预期的重力波(GW)签名具有重要意义,这反过来依赖于状态的高密度方程(EOS)。在这里,我们使用蒙特卡罗人口合成的现实eoss基于我们的星系中的NS二进制文件的批量分布来结合NS群众的相对论计算,以预测预期的命运分布。对于许多eoss,剩余的残余部分是nss或supramassive nss。这对迅速旋转,高磁化NS可以提供​​电磁瞬变的场景来支持对电动瞬变的支持。这也表明,未来GW观察者将重点关注高频,以研究合并后的GW排放。甚至在单个GW事件的信号中噪声太低的情况下,要详细研究柱式签名,也可以将许多合并产生NSS与BHS的统计数据与我们的工作进行比较,以限制EOS。为了匹配短伽玛射线爆发(SGRB)X射线余辉统计数据,我们发现最僵硬的eoss被排除在外。此外,许多受欢迎的EOSS需要显着的分数与NS-BH合并而不是二进制NSS的60%-70%。

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