Studying the Solar system dynamics using pulsar timing arrays and the LINIMOSS dynamical model

被引:16
|
作者
Guo, Y. J. [1 ]
Li, G. Y. [2 ]
Lee, K. J. [1 ,3 ]
Caballero, R. N. [1 ]
机构
[1] Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China
[2] Acad Sinica, Purple Mt Observ, Nanjing 210008, Jiangsu, Peoples R China
[3] Chinese Acad Sci, Nat Astron Observ, Beijing 100012, Peoples R China
关键词
methods: data analysis; pulsars: general; PLANETS; PACKAGE; TEMPO2; MASS;
D O I
10.1093/mnras/stz2515
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Pulsar timing arrays (PTAs) can be used to study the Solar system ephemeris (SSE), the errors of which can lead to correlated timing residuals and significantly contribute to the PTA noise budget. Most Solar system studies with PTAs assume the dominance of the term from the shift of the Solar system barycentre (SSB). However, it is unclear to which extent this approximation can be valid, since the perturbations on the planetary orbits may become important as data precision keeps increasing. To better understand the effects of SSE uncertainties on pulsar timing, we develop the LINIMOSS dynamical model of the Solar system, based on the SSE of Guangyu Li. Using the same input parameters as DE435, the calculated planetary positions by LINIMOSS are compatible with DE435 at centimetre level over a 20 yr timespan, which is sufficiently precise for pulsar-timing applications. We utilize LINIMOSS to investigate the effects of SSE errors on pulsar timing in a fully dynamical way, by perturbing one SSE parameter per trial and examining the induced timing residuals. For the outer planets, the timing residuals are dominated by the SSB shift, as assumed in previous work. For the inner planets, the variations in the orbit of the Earth are more prominent, making previously adopted assumptions insufficient. The power spectra of the timing residuals have complex structures, which may introduce false signals in the search of gravitational waves. We also study how to infer the SSE parameters using PTAs, and calculate the accuracy of parameter estimation.
引用
收藏
页码:5573 / 5581
页数:9
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