10 citations · 33 across the 10 of their papers we have counts for
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astro-ph.CO2026
Cosmology with galaxy clusters using machine learning. Application to eROSITA Data
Fucheng Zhong, Nicola R. Napolitano, Johan Comparat +8
Context: We present the first Cosmological Parameter inferences from eROSITA X-ray observations of galaxy clusters using a Machine Learning algorithm. Methods: We train a Random Fo…
astro-ph.CO2023★ 9 cited
Cosmology with Galaxy Cluster Properties using Machine Learning
Lanlan Qiu, Nicola R. Napolitano, Stefano Borgani +10
[Abridged] Galaxy clusters are the most massive gravitationally-bound systems in the universe and are widely considered to be an effective cosmological probe. We propose the first…