• Corpus ID: 249889761

Photometric Redshift Uncertainties in Weak Gravitational Lensing Shear Analysis: Models and Marginalization

@inproceedings{Zhang2022PhotometricRU,
  title={Photometric Redshift Uncertainties in Weak Gravitational Lensing Shear Analysis: Models and Marginalization},
  author={Tianqing Zhang and Markus Michael Rau and Rachel Mandelbaum and Xiangchong Li and Ben Moews},
  year={2022}
}
Recovering credible cosmological parameter constraints in a weak lensing shear analysis requires an accurate model that can be used to marginalize over nuisance parameters describing potential sources of systematic uncertainty, such as the uncertainties on the sample redshift distribution n(z). Due to the challenge of running Markov Chain Monte-Carlo (MCMC) in the high dimensional parameter spaces in which the n(z) uncertainties may be parameterized, it is common practice to simplify the n(z… 

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