QuickGWecc：用于在脉冲星计时阵列数据中搜索偏心双星的快速贝叶斯管道
QuickGWecc: Fast Bayesian pipeline for searching eccentric binaries in pulsar timing array data
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中文总结 AI 辅助
研究旨在在脉冲星计时阵列数据中搜索相对论偏心轨道上单个超大质量黑洞双星的连续引力波，提出快速有效的贝叶斯管道QuickGWecc，扩展QuickCW框架，通过特殊参数更新方式提高效率，经模拟数据集验证，使偏心双星搜索在计算上可行。
中文摘要 AI 辅助
近期脉冲星计时阵列（PTA）结果为纳赫兹引力波（GW）背景的存在提供了证据，可能源于超大质量黑洞双星（SMBHBs）。下一个主要里程碑是探测来自单个SMBHB的连续GWs并识别其电磁对应体。通常PTA数据中搜索CGWs假设双星为圆形轨道，而理论研究表明PTA频段发射GWs的双星可能有显著偏心率。本文提出一种快速有效的贝叶斯管道，用于在PTA数据集中搜索相对论偏心轨道上单个SMBHB的CGWs。该方法扩展了圆形双星的QuickCW框架，将模型参数分为投影和形状参数，通过对固定形状参数集多次更新投影参数提高计算效率。通过对模拟PTA数据集的检测和上限分析验证了管道。此框架使搜索偏心SMBHBs在计算上可行，即使在有更多脉冲星的下一代PTA数据集中。
英文摘要
Recent pulsar timing array (PTA) results have provided evidence for the presence of a nanohertz gravitational wave (GW) background, most likely originating from a population of supermassive black hole binaries (SMBHBs). The next major milestone is the detection of continuous GWs (CGWs) from an individual SMBHB and the identification of its electromagnetic counterpart. Typically, searches for CGWs in PTA data assume binaries in circular orbits. However, theoretical studies indicate that binaries emitting GWs in the PTA frequency band may retain significant eccentricity. In this paper, we present a fast and efficient Bayesian pipeline to search for CGWs from individual SMBHBs in relativistic eccentric orbits in PTA datasets. Our approach extends the QuickCW framework for circular binaries, in which model parameters are divided into projection and shape parameters. Computational efficiency is achieved by performing many updates of the projection parameters for a fixed set of shape parameters, an operation that is orders of magnitude faster than updating the shape parameters. We validate the pipeline through both detection and upper-limit analyses of simulated PTA datasets. This framework makes the search for eccentric SMBHBs computationally feasible, even in the next-generation PTA datasets with many more pulsars.
