Inception


The simulations model galaxy cluster collisions with different cross-sectional values, and even those with no dark matter at all.

Harvey tested different versions of his algorithm, which is a Convolutional Neural Network (CNN) able to recognize patterns in images very well. Harvey found that the most complex version of his algorithm, nicknamed Inception, was the most accurate, scoring an 80% success rate when challenged to characterize the simulated cluster collisions. 



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