Understanding the supermassive black hole at the center of our galaxy, Sagittarius A*, remains one of the great mysteries of the universe since the first image captured by the Event Horizon Telescope. Our observations at different wavelengths reveal intricate details, but their irregular nature makes it challenging to detect connections between various emission peaks. Our project aims to enhance this analysis by adapting and improving the TripletFormer machine learning algorithm for interpolating asynchronous temporal data. This improvement will help unveil crucial information about the dynamics of the black hole, providing a deeper understanding of its mysterious interactions and underlying physical processes.
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Gabriel Sasseville - AI for understanding the supermassive black hole at the center of the Milky Way
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