AI 中文总结
该研究提出PSRDISP方法，利用逐历元色散测量，基于高斯过程对单脉冲星噪声分析中的色散过程建模，可最小化消色差红噪声影响，通过模拟数据集验证效果良好，为脉冲星计时实验提供有力诊断工具。
AI 中文摘要
我们提出了PSRDISP，一种使用高精度逐历元色散测量（DM）估计，基于高斯过程方法对脉冲星计时数据集中的确定性和随机色散过程进行建模的新方法。与应用于脉冲到达时间（ToAs）频率分辨的传统单脉冲星噪声分析方法不同，该技术应用于从这些ToAs导出的逐历元DM，也可应用于与宽带ToAs同时测量的宽带DM。此框架提供了一种无关范式的方法来表征单脉冲星色散过程，有望在表征色散效应时最小化消色差红噪声过程的影响。我们用具有真实噪声注入的模拟窄带和宽带数据集的代表性示例证实了该技术，发现恢复结果与注入结果密切一致且与估计技术无关。我们的方法适用于能够进行精确逐历元DM估计的脉冲星计时实验，可作为验证单脉冲星噪声分析的强大诊断工具，对诸如脉冲星计时阵列等精确脉冲星计时实验至关重要。
英文摘要
We present PSRDISP, a novel approach to modeling deterministic and stochastic dispersive processes in pulsar timing datasets using high-precision epoch-wise dispersion measure (DM) estimates, with a Gaussian Process-based approach. Unlike the conventional single-pulsar noise analysis methodology, which is applied to frequency-resolved times of arrival (ToAs) of pulses, this technique is applied to epoch-wise DMs which are derived from these ToAs. It can also be applied to wideband DMs measured simultaneously with wideband ToAs. Therefore, this framework provides a paradigm-agnostic approach to characterise single-pulsar dispersive processes. This method is expected to minimise the impact of achromatic red noise processes while characterising these dispersive effects. We substantiate the discussed technique with representative examples using simulated narrowband and wideband datasets with realistic noise injections. We found the recovery to be in close agreement with the injections, and agnostic to the estimation technique. Our method applies to pulsar timing experiments where precise, epoch-wise DM estimates are possible, such as the Indian Pulsar Timing Array. This technique can serve as a powerful diagnostic tool for validating single-pulsar noise analyses, which is crucial for precision pulsar timing experiments, such as Pulsar Timing Arrays.
Comments18 pages, 10 figures
