An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation

@article{Shi2021AnOE,
  title={An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation},
  author={Jingjing Shi and Ken Osato and Toshiki Kurita and Masahiro Takada},
  journal={The Astrophysical Journal},
  year={2021},
  volume={917}
}
Emission line galaxies (ELGs), more generally star-forming galaxies, are valuable tracers of large-scale structure and therefore main targets of upcoming wide-area spectroscopic galaxy surveys. We propose a fixed-aperture shape estimator of each ELG for extracting the intrinsic alignment (IA) signal, and assess the performance of the method using image simulations of ELGs generated from the IllustrisTNG simulation including observational effects such as the sky background noise. We show that… 
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