Corpus ID: 237571357

Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and $N$-body simulations

@inproceedings{PellejeroIbaez2021ModellingGC,
  title={Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and \$N\$-body simulations},
  author={Marcos Pellejero-Iba{\~n}ez and Jens Stuecker and Raul E Angulo and Matteo Zennaro and Sergio Contreras and Giovanni Aric{\'o}},
  year={2021}
}
Improving the theoretical description of galaxy clustering on small scales is an important challenge in cosmology, as it can considerably increase the scientific return of forthcoming galaxy surveys – e.g. tightening the bounds on neutrino masses and deviations from general relativity. In this paper we propose and test a new model for the clustering of galaxies that is able to accurately describe redshift-space distortions even down to small scales. This model corresponds to a second-order… Expand

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References

SHOWING 1-4 OF 4 REFERENCES
Computational Astrophysics and Cosmology, 6, 2 Nishimichi T., et al., 2019
  • ApJ, 884,
  • 2019
Living Reviews in Relativity
  • 2017
Modelling RSD with Lagrangian bias and simulations
  • 2016
Same as Fig. 6 but for the Stellar Mass selected galaxies samples
  • MNRAS 000,
  • 2015