The current generation of interferometric gravitational-wave detectors, LIGO and Virgo, are undergoing upgrade to their so-called advanced phase. These instruments, together with new instruments in Japan and India, KAGRA and LIGO India, will form a network of advanced gravitational-wave detectors with which detections are expected to become routine. Amongst the prime sources for gravitational- wave astronomy are coalescing compact binaries consisting of neutron stars and/or black holes. Filtering detector data to detect these sources relies on precise templates of the expected gravitational-wave signals. In addition, estimating the parameters encoded in the signals (masses, spins etc...) requires sophisticated Bayesian inference techniques. Templates are typically computationally expensive to generate and can be a bottle-neck in data analysis.ududHere we focus on two aspects of gravitational-wave astronomy using coalescing compact binaries. The first part of this thesis focuses on studying the requirements of template waveforms to detect intermediate-mass black holes through the coalescence of a stellar- mass companion into an intermediate-mass black hole in Advanced LIGO. The second part of this thesis focuses on numerical and analytic techniques to improve the efficiency of (Bayesian) parameter estimation on coalescing binaries when parameter estimation is dominated by template waveform generation. Such efficiency improvements to parameter estimation are crucial for gravitational-wave astronomy using advanced detectors.
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机译：目前，干涉式重力波探测器LIGO和处女座正在升级到所谓的高级阶段。这些仪器，再加上日本和印度，KAGRA和LIGO India的新仪器，将形成先进的重力波探测器网络，有望将其用于日常探测。引力波天文学的主要来源之一是合并由中子星和/或黑洞组成的紧凑双星。过滤检测器数据以检测这些源依赖于预期的重力波信号的精确模板。另外，估计信号中编码的参数（质量，自旋等）需要复杂的贝叶斯推理技术。模板通常在计算上昂贵，并且可能是数据分析的瓶颈。 ud ud在此，我们集中在使用凝聚紧凑二进制文件的重力波天文学的两个方面。本文的第一部分着重于研究模板波形的需求，该模板波形通过将恒星质量伴星合并为高级LIGO中的中等质量黑洞来检测中等质量黑洞。本文的第二部分着重于数值和分析技术，以提高参数估计受模板波形生成支配时，对合并二进制文件进行（贝叶斯）参数估计的效率。这种参数估计效率的提高对于使用先进探测器的引力波天文学至关重要。
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