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Measuring gravitational waves from binary black hole coalescences. I. Signal to noise for inspiral, merger, and ringdown

机译:测量来自二元黑洞合并的引力波。 I.鼓舞人心,合并和振铃的信噪比

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摘要

We estimate the expected signal-to-noise ratios (SNRs) from the three phases (inspiral, merger, and ringdown) of coalescing binary black holes (BBHs) for initial and advanced ground-based interferometers (LIGO-VIRGO) and for the space-based interferometer LISA. Ground-based interferometers can do moderate SNR (a few tens), moderate accuracy studies of BBH coalescences in the mass range of a few to about 2000 solar masses; LISA can do high SNR (of order 104), high accuracy studies in the mass range of about 105–108 solar masses. BBHs might well be the first sources detected by LIGO-VIRGO: they are visible to much larger distances—up to 500 Mpc by initial interferometers—than coalescing neutron star binaries (heretofore regarded as the “bread and butter” workhorse source for LIGO-VIRGO, visible to about 30 Mpc by initial interferometers). Low-mass BBHs (up to 50M⊙ for initial LIGO interferometers, 100M⊙ for advanced, 106M⊙ for LISA) are best searched for via their well-understood inspiral waves; higher mass BBHs must be searched for via their poorly understood merger waves and/or their well-understood ringdown waves. A matched filtering search for massive BBHs based on ringdown waves should be capable of finding BBHs in the mass range of about 100M⊙–700M⊙ out to ∼200 Mpc for initial LIGO interferometers, and in the mass range of ∼200M⊙ to ∼3000M⊙ out to about z=1 for advanced interferometers. The required number of templates is of the order of 6000 or less. Searches based on merger waves could increase the number of detected massive BBHs by a factor of the order of 10 over those found from inspiral and ringdown waves, without detailed knowledge of the waveform shapes, using a noise monitoring search algorithm which we describe. A full set of merger templates from numerical relativity simulations could further increase the number of detected BBHs by an additional factor of up to ∼4.
机译:我们从初始和先进的地面干涉仪(LIGO-VIRGO)以及空间的三个阶段(吸气,合并和振铃)合并二进制黑洞(BBH)估计了预期的信噪比(SNR)基于LISA的干涉仪。地基干涉仪可以在几到大约2000太阳质量的质量范围内对BBH聚结进行适度的SNR(几十个),中等精度的研究。 LISA可以在大约105-108太阳质量的质量范围内进行高SNR(104阶),高精度研究。 BBH很可能是LIGO-VIRGO探测到的第一种来源:与聚结中子星双星(迄今为止被视为LIGO-VIRGO的“面包和黄油”主力源)相比,它们可见到的距离要大得多(初始干涉仪可达500 Mpc)。 ,通过初始干涉仪可以看到约30 Mpc)。最好通过他们容易理解的吸波搜索低质量的BBH(初始LIGO干涉仪最高50M 50,高级100M 100,LISA106M⊙)。必须通过对其了解不多的合并浪潮和/或易于理解的振兴浪潮来寻找质量更高的BBH。基于振铃波的大规模BBH的匹配滤波搜索应该能够找到质量约为100M⊙–700M⊙的BBH,初始LIGO干涉仪的质量范围约为200Mpc,质量范围约为200M⊙至3,000M对于高级干涉仪,约为z = 1。所需的模板数量约为6000或更少。在没有详细了解波形形状的情况下,使用我们描述的噪声监控搜索算法,基于合并波的搜索可以将检测到的大量BBH的数量增加,比从吸气和振铃波中发现的数量大10倍。来自数值相对论模拟的全套合并模板可以进一步将检测到的BBH数量增加多达约4。

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