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Measuring gravitational waves from binary black hole coalescences. II. The waves’ information and its extraction, with and without templates

机译:测量来自二元黑洞合并的引力波。二。带有和不带有模板的海浪信息及其提取

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摘要

We discuss the extraction of information from detected binary black hole (BBH) coalescence gravitational waves by the ground-based interferometers LIGO and VIRGO, and by the space-based interferometer LISA. We focus on the merger phase that occurs after the gradual inspiral and before the ringdown. Our results are (i) if numerical relativity simulations have not produced template merger waveforms before BBH events are detected, one can study the merger waves using simple band-pass filters. For BBHs smaller than about 40M⊙ detected via their inspiral waves, the band-pass filtering signal-to-noise ratio indicates that the merger waves should typically be just barely visible in the noise for initial and advanced LIGO interferometers. (ii) We derive an optimized maximum-likelihood method for extracting a best-fit merger waveform from the noisy detector output; one “perpendicularly projects” this output onto a function space (specified using wavelets) that incorporates our (possibly sketchy) prior knowledge of the waveforms. An extension of the method allows one to extract the BBH’s two independent waveforms from outputs of several interferometers. (iii) We propose a computational strategy for numerical relativists to pursue, if they successfully produce computer codes for generating merger waveforms, but if running the codes is too expensive to permit an extensive survey of the merger parameter space. In this case, for LIGO-VIRGO data analysis purposes, it would be advantageous to do a coarse survey of the parameter space aimed at exploring several qualitative issues and at determining the ranges of the several key parameters which we describe. (iv) A complete set of templates could be used to test the nonlinear dynamics of general relativity and to measure some of the binary’s parameters via matched filtering. We estimate the number of bits of information obtainable from the merger waves (about 10–60 for LIGO-VIRGO, up to 200 for LISA), estimate the information loss due to template numerical errors or sparseness in the template grid, and infer approximate requirements on template accuracy and spacing.
机译:我们讨论了地基干涉仪LIGO和VIRGO以及天基干涉仪LISA从检测到的二元黑洞(BBH)合并引力波中提取信息的方法。我们关注合并阶段,该阶段发生在渐进式鼓舞之后和振兴之前。我们的结果是(i)如果数值相对论模拟在检测到BBH事件之前没有产生模板合并波形,则可以使用简单的带通滤波器研究合并波。对于通过吸气波检测到的小于约40M⊙的BBH,带通滤波信噪比表明,对于初始和高级LIGO干涉仪,合并波通常在噪声中几乎几乎看不见。 (ii)我们推导了一种优化的最大似然方法,用于从嘈杂的检测器输出中提取最佳拟合合并波形;一个“垂直地”将此输出投影到一个函数空间(使用小波指定)上,该函数空间结合了我们对波形的(可能是粗略的)先验知识。该方法的扩展允许人们从多个干涉仪的输出中提取BBH的两个独立波形。 (iii)我们提出了一种计算策略,供数值相对主义者成功地产生用于生成合并波形的计算机代码,但是如果运行这些代码过于昂贵而无法允许对合并参数空间进行广泛调查,则可以采用这种计算策略。在这种情况下,出于LIGO-VIRGO数据分析的目的,对参数空间进行粗略调查以探索几个定性问题并确定我们描述的几个关键参数的范围将是有利的。 (iv)可以使用一套完整的模板来测试广义相对论的非线性动力学,并通过匹配滤波来测量一些二进制参数。我们估计可以从合并波中获取的信息位数(LIGO-VIRGO大约为10–60,LISA最多为200),估计由于模板数值误差或模板网格稀疏而导致的信息损失,并推断出近似要求模板的准确性和间距。

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