The Exploration of Exoplanets Based on The Transit Method

Abstract

Up to now, the vast majority of discovered exoplanets have been detected by an important detection method called "transit" technology, which discovers the exoplanets based on observing and determining through repeated weakening phenomena on the light spot generated during planetary orbit transit. By adopting this technique, A wide variety of exoplanets have been discovered, and extremely satisfactory results have been achieved. In the paper, mainly with the light curve (LC) data obtained from TESS (Transiting Exoplanet Survey Satellite), it's analyzed using Lightkurve, a newly developed Python open-source library. By choosing specific regions of interest to extract LCs, performing many sophisticated processes and steps, doing detailed transit seeking work, then extracting parameters related to transiting planets from the process, and finding potential candidate planet transits eventually, and verifying the effective performance of all steps, successfully detecting a number of potentially good planets from various samples. In addition, the paper also found that even at present, the most modern method of planetary detection will have the crucial difficult problem, how to distinguish between genuine occultations occurring as planet orbits and light spot weakening events on stars and noises from instruments or noise produced in some way. The reliable and accurate approach proposed here to treat data could be used to assist and increase the probability of future planetary discovery.