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Improving the sensitivity of searches for an association between gamma-ray bursts and gravitational waves

机译:提高搜索对伽马射线暴和引力波之间联系的敏感性

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摘要

Gamma-ray burst (GRB) central engines are potentially strong gravitational wave (GW) sources. GRBs occur at the rate of similar to 1/day and several currently operating and planned observatories will maintain coverage of the gamma-ray window over the next decade. Data analysis strategies are required that can exploit multiple GRB triggers collected over a long span of time to expand the science reach of GW detectors beyond that possible with a single direct coincidence search. Such a strategy has been proposed earlier by Finn, Mohanty and Romano (FMR). In this paper, we formally derive, multi-GRB search algorithms from principles of Frequentist statistical decision theory. The FMR approach is shown to be a special case where the duration of the GW signal from a GRB is of the same order as its expected offset from the gamma-ray counterpart. A new ad hoc statistic, based on plausible arguments, is also constructed and compared with the formally derived one.
机译:伽马射线爆发(GRB)中央引擎可能是强大的重力波(GW)源。 GRB的发生率接近1天/天,目前正在运行和计划中的几个观测站将在未来十年内保持对伽马射线窗口的覆盖。需要一种数据分析策略,该策略可以利用很长一段时间内收集到的多个GRB触发器来扩展GW检测器的科学范围,使其超出单个直接巧合搜索所能达到的范围。 Finn,Mohanty和Romano(FMR)早些时候就提出了这样的策略。在本文中,我们从频率统计决策理论的原理正式推导了多种GRB搜索算法。 FMR方法显示为一种特殊情况,其中来自GRB的GW信号的持续时间与其预期的与伽玛射线对应物的偏移量相同。还根据合理的论据构建了一个新的临时统计,并将其与正式推导的统计进行比较。

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