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Algorithm Processes 1,000 Galaxies From James Webb Telescope in One Day
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The research team has created an advanced Bayesian-based framework for analyzing data from the Hubble and James Webb Space Telescopes (JWST). This approach allows for highly accurate mapping of stellar mass distribution, star formation history, metallicity, and dust absorption in galaxies. The key element of the algorithm is simulated inference (SBI), which significantly accelerates the computation of galaxy properties at the level of each... Th…
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