一种有效的测量引力波信号参数的方法
Efficient method for measuring the parameters encoded in a gravitational-wave signal
摘要：
曾几何时，对引力波信号推断准确性的预测依赖于计算成本低廉但往往不准确的技术。最近，该方法已转移到实际的推理噪声信号与复杂的随机贝叶斯方法，在显着的计算成本为代价。在这里，我们认为，它往往是可能的，有两全其美：贝叶斯方法，结合先验信息，并正确地边缘化不感兴趣的参数，提供准确的后验概率分布函数，但在一个简单的网格上进行低计算成本，与廉价的预测技术。
英文摘要：
Once upon a time, predictions for the accuracy of inference on gravitational-wave signals relied on computationally inexpensive but often inaccurate techniques. Recently, the approach has shifted to actual inference on noisy signals with complex stochastic Bayesian methods, at the expense of significant computational cost. Here, we argue that it is often possible to have the best of both worlds: a Bayesian approach that incorporates prior information and correctly marginalizes over uninteresting parameters, providing accurate posterior probability distribution functions, but carried out on a simple grid at a low computational cost, comparable to the inexpensive predictive techniques.
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