Kavli Affiliate: Yingjie Peng | First 5 Authors: Rui Shi, Wenting Wang, Zhaozhou Li, Jiaxin Han, Jingjing Shi | Summary: We propose a random forest (RF) machine learning approach to determine the accreted stellar mass fractions ($f_mathrm{acc}$) of central galaxies, based on various dark matter halo and galaxy features. The RF is trained and tested […]
Continue.. A machine learning approach to infer the accreted stellar mass fractions of galaxies