52 citations · 56 across the 2 of their papers we have counts for
2 papers
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…
astro-ph.CO2022★ 52 cited
Detecting clusters of galaxies and active galactic nuclei in an eROSITA all-sky survey digital twin
R. Seppi, J. Comparat, E. Bulbul +15
The extended ROentgen Survey with an Imaging Telescope Array (eROSITA) onboard the Spectrum-Roentgen-Gamma (SRG) observatory is revolutionizing X-ray astronomy. It provides large s…