NASA's TESS Satellite Identifies Over 10,000 Exoplanet Candidates in a Year
The Transiting Exoplanet Survey Satellite (TESS), a NASA mission, has identified over 10,000 exoplanet candidates within a year, significantly accelerating the pace of discovery in planetary astronomy. This achievement was made possible through the use of artificial intelligence, which analyzed data from approximately 83 million stars. TESS, launched in 2018, is designed to search for planets around nearby stars using the transit method, which detects small, periodic drops in a star's brightness as a planet passes in front of it. The project, known as the T16 Planet Hunt, utilized semi-automated search and machine learning to examine light curves from the stars observed in TESS's first cycle. This method allowed researchers to identify transit signals that were previously unnoticed due to the vast amount of astronomical data.