most citedThe eROSITA Final Equatorial-Depth Survey (eFEDS): A Machine Learning Approach to Infer Galaxy Cluster Masses from eROSITA X-ray Images

4 citations · 4 across the 1 of their papers we have counts for

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astro-ph.CO2023★ 4 cited

The eROSITA Final Equatorial-Depth Survey (eFEDS): A Machine Learning Approach to Infer Galaxy Cluster Masses from eROSITA X-ray Images

Sven Krippendorf, Nicolas Baron Perez, Esra Bulbul +15

We develop a neural network based pipeline to estimate masses of galaxy clusters with a known redshift directly from photon information in X-rays. Our neural networks are trained u…