Neural networks show potential for identifying gamma rays detected by the Cherenkov telescope array

With the Cherenkov Telescope Array (CTA) that is currently under construction, researchers hope to observe highly energetic gamma rays that could lead to the discovery of new objects in and outside of our galaxy and even unravel the mystery of dark matter. However, identifying these gamma rays is not easy. Researchers from the CTA consortium are now trying to perfect it with neural networks trained on the Piz Daint supercomputer.

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