Machine learning reveals distinct properties of stars, galaxies, and quasars based on emitted light data.
Among the stellar formations observed with modern telescopes are stars, galaxies, and quasars. Depending on what formation they are, they emit different types of light. We use data on the light emitted by each formation emitted to train a neural network, which will classify each formation as either a star, galaxy, or quasar. We explain our process as we set up each element of the neural network.
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Alexander R. Miller (2024) studied this question.
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