标题： 用于PTA频段连续引力波源的贝叶斯分析流程 显示英文标题

标题： A Bayesian analysis pipeline for continuous GW sources in the PTA band

摘要： 通过脉冲星计时阵列（PTAs）直接探测引力波（GWs）很可能在接下来的十年内实现。 虽然随机GW背景是检测的有希望的候选者，但单个可分辨的源也可能被检测到。 在这项工作中，我们将专注于从超大质量黑洞双星（SMBHBs）中探测和表征单一GW源。 我们引入了一个完全贝叶斯的数据分析流程，旨在执行搜索、表征和评估阶段。 这将使我们能够快速定位参数空间中的全局最大值，绘制后验分布，并最终通过贝叶斯因子衡量GW检测的证据。 在这里，我们将使用自适应马尔可夫（AM）算法和并行退火。 我们在代表现代PTAs的现实模拟数据上测试了该算法。 显示英文摘要

摘要： The direct detection of Gravitational Waves (GWs) by Pulsar Timing Arrays (PTAs) is very likely within the next decade. While the stochastic GW background is a promising candidate for detection it is also possible that single resolvable sources may be detectable as well. In this work we will focus on the detection and characterization of single GW sources from supermassive black hole binaries (SMBHBs). We introduce a fully Bayesian data analysis pipeline that is meant to carry out a search, characterization, and evaluation phase. This will allow us to rapidly locate the global maxima in parameter space, map out the posterior, and finally weigh the evidence of a GW detection through a Bayes Factor. Here we will make use of an adaptive metropolis (AM) algorithm and parallel tempering. We test this algorithm on realistic simulated data that are representative of modern PTAs.