Identifying galaxy groups at high redshift from incomplete spectroscopic data – I. The group finder and application to zCOSMOS

@article{Wang2020IdentifyingGG,
  title={Identifying galaxy groups at high redshift from incomplete spectroscopic data – I. The group finder and application to zCOSMOS},
  author={Kai Wang and H. J. Mo and Cheng Li and Jiacheng Meng and Yangyao Chen},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2020},
  volume={499},
  pages={89-105}
}
Identifying galaxy groups from redshift surveys of galaxies plays an important role in connecting galaxies with the underlying dark matter distribution. Current and future high-$z$ spectroscopic surveys, usually incomplete in redshift sampling, present both opportunities and challenges to identifying groups in the high-$z$ Universe. We develop a group finder that is based on incomplete redshift samples combined with photometric data, using a machine learning method to assign halo masses to… 

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