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arXiv 1305.0835astro-ph.IMastro-ph.COgr-qc
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PTA波段连续GW源的贝叶斯分析管道

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

Justin Ellis

摘要:

利用脉冲星定时阵列(PTAs)直接探测引力波(GWs)是未来十年内的一个重要课题。虽然随机GW背景是用于检测的有希望的候选者,但是也可能单个可分辨源也可以是可检测的。在这项工作中,我们将集中在单个GW源的检测和表征的超大质量黑洞二进制文件(SMBHB)。我们引入了一个完全贝叶斯的数据分析管道,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,绘制出后验图,并最终通过贝叶斯因子权衡GW检测的证据。在这里,我们将使用自适应大都会(AM)算法和并行回火。我们测试这个算法的现实模拟数据,是现代PTA的代表。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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