Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model

@inproceedings{Sanchez2019RedshiftIF,
  title={Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model},
  author={Carles S'anchez and Gary M. Bernstein},
  year={2019}
}
Powerful current and future cosmological constraints using high precision measurements of the large-scale structure of galaxies and its weak gravitational lensing effects rely on accurate characterization of the redshift distributions of the galaxy samples using only broadband imaging. We present a framework for constraining both the redshift probability distributions of galaxy populations and the redshifts of their individual members. We use a hierarchical Bayesian model (HBM) which provides… CONTINUE READING

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SHOWING 1-2 OF 2 REFERENCES

Monthly Notices of the Royal Astronomical Society

Nigel C. Hambly, Lance Miller, H. MacGillivray, J. T. Herd, Annabel Cormack
  • 1998
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

ESO Messenger, 154, 44 APPENDIX A: EQUIVALENCE TO CORRELATION-FUNCTION METHODS Consider the case when there is no photometric information available on our detected galaxies, 100% selection

E. al
  • 2013