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FORMATION PLANÉTAIRE : CE QUE RÉVÈLENT LES OBSERVATIONS. (French)
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- Author(s): Géa, Mathis De
- Source:
Ciel et Espace; dec2025/jan2026, Issue 604, p42-49, 8p, 11 Color Photographs
- Subject Terms:
- Additional Information
- Subject Terms:
- Abstract:
The article focuses on recent advances in the observation of planet formation, thanks to instruments such as the Alma Observatory and the James Webb Space Telescope (JWST). Astronomers have succeeded in detecting planets in formation, such as WISPIT 2b, and in observing complex structures in protoplanetary disks, revealing formation mechanisms such as gravitational collapse. Furthermore, recent studies show that planet formation may be a more common and sustainable process than previously thought, even in hostile environments. These discoveries open new perspectives on understanding the formation of planetary systems and the conditions necessary for the emergence of life. [Extracted from the article]
- Abstract:
L'article se concentre sur les avancées récentes dans l'observation de la formation des planètes, grâce à des instruments tels que l'observatoire Alma et le télescope spatial James Webb (JWST). Les astronomes ont réussi à détecter des planètes en formation, comme WISPIT 2b, et à observer des structures complexes dans des disques protoplanétaires, révélant des mécanismes de formation tels que l'effondrement gravitationnel. De plus, des études récentes montrent que la formation des planètes pourrait être un processus plus courant et durable que prévu, même dans des environnements hostiles. Ces découvertes ouvrent de nouvelles perspectives sur la compréhension de la formation des systèmes planétaires et des conditions nécessaires à l'émergence de la vie. [Extracted from the article]
- Abstract:
Copyright of Ciel et Espace is the property of Association Francaise d'Astronomie and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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