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arXiv 1407.2579astro-ph.HE
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用扁圆星波形拟合X射线爆发振荡确定中子星性质

Determining Neutron Star Properties by Fitting Oblate-Star Waveforms To X-ray Burst Oscillations

M. Coleman Miller, Frederick K. Lamb

摘要:

我们描述了复杂的新贝叶斯分析方法,使之能够快速估计的质量和半径的快速旋转,扁圆形中子星拟合扁圆星波形模型,以能量分辨观测的X射线振荡产生的热点,这样的明星。我们的结论是,考虑到恒星的扁圆形状的模型应用于大半径和旋转速率$>300$ Hz的恒星。我们发现,25%的温度变化的热点与纬度不显着偏置的质量$M$和赤道半径$R_{\rm eq}$通过拟合模型,假设一个均匀的温度点的估计。结果表明,当恒星自转速率为$\gtrsim\,$ $600$ Hz,光斑中心和观测者视线均位于恒星自转赤道的$30^\circ$内,振荡的均方根值为$\lesssim\,$ 10%,观测者的观测误差为PDMATHABM_N = 7%时,用扁圆星波形模型拟合波形数据,可以同时确定PDMATHABM_N和PDMATHABM_O,且不确定度为PDMATHABM_N = 7%;以及(4)从恒星收集$\gtrsim$ $10^7$计数。这是一个现实的分数振幅,通过将许多X射线爆发的数据结合起来,可以通过已接受的NICER和拟议的LOFT和AXTAR空间任务从单个恒星获得这么多计数。这些不确定性很小,足以大大提高我们对冷的超密度物质的理解。

英文摘要:

We describe sophisticated new Bayesian analysis methods that make it possible to estimate quickly the masses and radii of rapidly rotating, oblate neutron stars by fitting oblate-star waveform models to energy-resolved observations of the X-ray oscillations produced by a hot spot on such stars. We conclude that models that take the oblate shape of the star into account should be used for stars with large radii and rotation rates $>300$ Hz. We find that a 25% variation of the temperature of the hot spot with latitude does not significantly bias estimates of the mass $M$ and equatorial radius $R_{\rm eq}$ derived by fitting a model that assumes a uniform-temperature spot. Our results show that fits of oblate-star waveform models to waveform data can simultaneously determine $M$ and $R_{\rm eq}$ with uncertainties $\lesssim\,$7% if (1) the star's rotation rate is $\gtrsim\,$$600$ Hz; (2) the spot center and observer's sightline are both within $30^\circ$ of the star's rotational equator; (3) the oscillations have a fractional rms amplitude $\gtrsim\,$10%; and (4) $\gtrsim$$10^7$ counts are collected from the star. This is a realistic fractional amplitude, and this many counts could be obtained from a single star by the accepted NICER and proposed LOFT and AXTAR space missions by combining data from many X-ray bursts. These uncertainties are small enough to improve substantially our understanding of cold, ultradense matter.

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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