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首页> 外文期刊>Classical and Quantum Gravity: An Interantional Journal of Gravity Geometry of Field Theories Supergravity Cosmology >Distinguishing short duration noise transients in LIGO data to improve the PyCBC search for gravitational waves from high mass binary black hole mergers
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Distinguishing short duration noise transients in LIGO data to improve the PyCBC search for gravitational waves from high mass binary black hole mergers

机译:区分LIGO数据中的短持续时间噪声瞬变,以改善PYCBC搜索高质量二进制黑洞并购的引力波

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摘要

'Blip glitches' are a type of short duration transient noise in LIGO data. The cause for the majority of these is currently unknown. Short duration transient noise creates challenges for searches of the highest mass binary black hole systems, as standard methods of applying signal consistency, which look for consistency in the accumulated signal-to-noise of the candidate event, are unable to distinguish many blip glitches from short duration gravitational-wave signals due to similarities in their time and frequency evolution. We demonstrate a straightforward method, employed during Advanced LIGO's second observing run, including the period of joint observation with the Virgo observatory, to separate the majority of this transient noise from potential gravitational-wave sources. This yields a similar to 20% improvement in the detection rate of high mass binary black hole mergers (60M circle dot) for the PyCBC analysis.
机译:'Blip Pritches'是Ligo数据中的短持续时间瞬态噪声。 大多数这些的原因目前未知。 短的持续时间瞬态噪声为最高质量二进制黑洞系统的搜索产生挑战,作为应用信号一致性的标准方法,该方法在候选事件的累积信号 - 噪声中寻找一致性,无法区分许多孔故障 短持续时间引力波信号由于其时间和频率演化中的相似性。 我们展示了在先进的Ligo第二观察运行期间使用的直接方法,包括与处女座天文台的关节观察时期,以将大多数这种瞬态噪声与潜在的引力波来源分开。 这与PYCBC分析的高质量二元黑洞合并(& 60M圆点)的检测速率类似于20%的提高。

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