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NEMESIS aims to enhance our understanding of star formation by using artificial intelligence to analyze a comprehensive dataset of young stellar objects. The project seeks to refine classification schemes and timescales of star-planet systems, leveraging advanced machine learning techniques to interpret large volumes o…
NEMESIS has the ambition to reshape our understanding on the formation of stars by employing artificial intelligence methods to interpret the largest, panchromatic data collection of young stellar objects.
Recent evidence suggests that planets form synchronously rather than sequentially to their host stars, indicating a rapid early evolution of star-planet systems.
To ascertain these timescales, it is necessary to first determine the characteristic transitions that describe each phase of star fo…
HUN-REN RESEARCH CENTRE FOR ASTRONOMY AND EARTH SCIENCES
HUN-REN CSILLAGASZATI ES FOLDTUDOMANYI KUTATOKOZPONT
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