Topic: Space
Scientists at the University of Warwick used a new AI system to find over 100 planets orbiting stars. This includes rare and extreme worlds like those that circle their stars in under 24 hours.
A team of astronomers at the University of Warwick has confirmed more than 100 exoplanets, including 31 newly identified worlds, using a new artificial intelligence system called RAVEN. The researchers applied this tool to data from NASA's Transiting Exoplanet Survey Satellite (TESS), which scans the sky for slight dips in starlight that occur when a planet crosses in front of its host star.
The team focused on planets that orbit very close to their stars, completing a full orbit in less than 16 days. This approach has produced one of the most precise measurements yet of how common these short-period planets are.
The newly confirmed planets include several especially interesting categories. Some are ultra-short-period planets that circle their stars in under 24 hours. Others belong to the so-called 'Neptunian desert,' a region where few planets are expected to exist based on current theories.
The study also revealed tightly packed multi-planet systems, including previously unknown pairs of planets orbiting the same star.
Why It Matters
This discovery can help us better understand how planets form and evolve. It's especially exciting for Indian students who are interested in space exploration and astronomy.
Key Facts
- Over 100 exoplanets were confirmed, including 31 newly identified worlds
- The study focused on short-period planets that orbit their stars in less than 16 days
- The RAVEN pipeline was used to analyze data from NASA's TESS mission
- The study found that about 9-10% of Sun-like stars host a close-in planet
- The 'Neptunian desert' is a region where few planets are expected to exist based on current theories
Key Terms
- Exoplanet
- A planet that orbits a star outside our solar system
Implications
This discovery can help us better understand how planets form and evolve. It's especially exciting for Indian students who are interested in space exploration and astronomy.
Source: https://www.sciencedaily.com/releases/2026/05/260502233926.htm
Journal Reference:
- M Lafarga, D J Armstrong, K Cui, A Hadjigeorghiou, V Kunovac, L Doyle, E M Bryant, R F Díaz, L A Nieto, A Osborn. Automatic search for transiting planets in TESS–SPOC FFIs with raven: over 100 newly validated planets and over 2000 vetted candidates. Monthly Notices of the Royal Astronomical Society, 2026; 548 (3) DOI: 10.1093/mnras/stag512
- Kaiming Cui, David J Armstrong, Andreas Hadjigeorghiou, Marina Lafarga, Vedad Kunovac, Lauren Doyle, Luis Agustín Nieto, Rodrigo F Díaz. Demographics of close-in TESS exoplanets orbiting FGK main-sequence stars. Monthly Notices of the Royal Astronomical Society, 2026; 546 (2) DOI: 10.1093/mnras/stag022
- Andreas Hadjigeorghiou, David J. Armstrong, Kaiming Cui, Marina Lafarga Magro, Luis Agustín Nieto, Rodrigo F. Díaz, Lauren Doyle, Vedad Kunovac. RAVEN: RAnking and Validation of ExoplaNets. arXiv, 22 Sep 2025 DOI: 10.48550/arXiv.2509.17645
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