Speaker
Description
The detection of exomoons, natural satellites orbiting exoplanets, remains one of the most challenging and intriguing problems in modern astronomy. In this work, we develop a photodynamical pipeline to search for exomoon signatures using transit timing variations (TTV). By analyzing periodic shifts in transit mid-times, we aim to identify the dynamical effects induced by a potential orbiting moon.
We apply this approach to the HAT-P-1 b system using 16 high-quality transits from multiple TESS sectors. The observed light curves are used to construct a physically consistent star-planet-moon model, and synthetic transit signals are generated under realistic observational conditions. Particular attention is given to improving timing precision through optimized sampling and noise treatment. The resulting TTV signals are compared with theoretical models, allowing us to explore whether an exomoon-like configuration can reproduce the observed variations. This study demonstrates how combining high-precision photometry with dynamical modeling can provide indirect but powerful constraints on exomoon candidates, contributing to our understanding of the diversity and formation of planetary systems beyond our Solar System.
| Participate the oral/poster presentation award competition | Yes |
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