Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration

@inproceedings{Anbajagane2021GalaxyVB,
  title={Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration},
  author={Dhayaa Anbajagane and Han Aung and August E. Evrard and Arya Farahi and Daisuke Nagai and David J Barnes and Weiguang Cui and Klaus Dolag and Ian G. McCarthy and Elena Rasia and Gustavo Yepes},
  year={2021}
}
Galaxy cluster masses, rich with cosmological information, can be estimated from internal dark matter (DM) velocity dispersions, which in turn can be observationally inferred from satellite galaxy velocities. However, galaxies are biased tracers of the DM, and the bias can vary over host halo and galaxy properties as well as time.We precisely calibrate the velocity bias, bv —defined as the ratio of galaxy and DM velocity dispersions — as a function of redshift, host halo mass, and galaxy… 

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References

PyHPC2016: 6th workshop on python for high-performance and scientific computing