New research has failed to rule out self-annihilating dark matter as the source of a gamma-ray emission radiating from the heart of the Milky Way.
Machine learning algorithms have increasingly become integral to gamma-ray spectroscopy, enabling automated feature extraction, classification and quantitative analysis from complex spectral data.
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