The Influence of Different Solar System Planetary Ephemeris on Pulsar Timing

Jianpeng Dai, Wei Han, Na Wang
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Abstract

The pulsar timing offers a comprehensive avenue for exploring diverse topics physics and astrophysics. High-precision solar system planetary ephemeris crucial for pulsar timing as it provides the positions and velocities of solar system planets include the Earth. However, it is inevitable that inherent inconsistencies exist in these ephemerides. Differences between various ephemerides can significantly impact pulsar timing and parameter estimations. Currently, pulsar timing highly depend on the JPL DE ephemeris, for instance, the Pulsar Timing Array (PTA) data analysis predominantly utilizes DE436. In this study, we examine inconsistencies across various ephemeris series, including JPL DE, EPM, and INPOP. Notably, discrepancies emerge particularly between the current ephemeris DE436 and the earliest released ephemeris DE200, as well as the most recent ephemerides, e.g. DE440, INPOP21A, and EPM2021. A further detailed analysis of the effects of ephemeris on geometric correction procedures for the conversion of measured topocentric Time of Arrivals (TOAs) is presented in this study. Our researches reveal that variations in the Roemer delays across different ephemerides lead to distinct differences. The timing residuals and the fact that these discrepancies can be readily incorporated into the subsequent pulsar parameters, leading to inconsistent fitting estimates, suggest that the influence of errors in the ephemeris on the timing process might currently be underappreciated.
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不同太阳系行星星历对脉冲星授时的影响
脉冲星计时为探索各种物理学和天体物理学课题提供了一个全面的途径。高精度太阳系行星星历对脉冲星授时至关重要,因为它提供了包括地球在内的太阳系行星的位置和速度。然而,这些星历不可避免地存在固有的不一致性。各种星历表之间的差异会对脉冲星授时和参数估计产生重大影响。目前,脉冲星授时高度依赖于 JPL DE 星历,例如脉冲星授时阵列(PTA)的数据分析主要使用 DE436。在这项研究中,我们研究了不同星历系列之间的不一致性,包括 JPL DE、EPM 和 INPOP。值得注意的是,当前的星历DE436与最早发布的星历DE200,以及最新的星历,如DE440、INPOP21A和EPM2021之间的差异尤为明显。本研究进一步详细分析了星历对地心到达时间(TOAs)测量转换的几何校正程序的影响。我们的研究发现,不同星历的 Roemer 延迟的变化导致了明显的差异。授时残差以及这些差异很容易被纳入随后的脉冲星参数,导致不一致的拟合估计值,这表明星历表中的误差对授时过程的影响目前可能被低估了。
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