General Relativity Testing in Exoplanetary Systems

Abstract

In this work discuss the possibility of testing GR with a high degree of accuracy by observing the precession of perihelia in extrasolar planetary systems. Two approaches of measuring perihelion precession of exoplanets are considered- the radial velocity (RV) method and the transit method. In RV, the orbital parameters can be determined by fitting the observed RV curve, which is the reflex motion induced by the orbiting planet. In transit, the time separation of primary and secondary transits is observed to examine the precession. However, the secondary transits are generally week and difficult to be observed, with amplitudes usually less than 1ppm. Therefore, RV method is more feasible in this study. Focusing on the RV method, we creatively derive an analytic formula dAr = Ke sinf(ω) dω for evaluating the sensitivity of precession. To demonstrate the detectability, we simulate RV curves for the selected exoplanets and fit the synthetic data. We found that GR effect can be detected in ten years in some promising systems, with an assumption of the host stars being inactive (without any intrinsic noise) and the precision of RV instruments achieving 0.1m/s. Although successful testing of GR in exoplanetary systems depends on ideal situations as stated above, we will be able to verify the GR precession in near future, considering the rapidly increasing population of discovered exoplanets and the improvement in precision of detecting instruments.

Publication
IOP Conference Series: Earth and Environmental Science, Volume 658, 3rd International Forum on Geoscience and Geodesy 13-15 November 2020, Shenyang, China
This was a paper I had for high school science fair. The three authors contributed equally. We won the S.-T. Yau High School Science Award Physics Award National Second Prize.
Chris Le Wang
Chris Le Wang
Senior Undergraduate Student

My research interests include planet formation, exoplanet atmospheres, galactic archeology, and data mining in astronomy.