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Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad1450
Abstract: We construct Convolutional Neural Networks (CNNs) trained on exponentiated fractional Brownian motion (xfBm) images, and use these CNNs to analyse Hi-GAL images of surface-density in the Galactic Plane. The CNNs estimate the Hurst parameter, ${\cal…
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Keywords:
density;
structure;
statistical analysis;
surface density ... See more keywords