• Corpus ID: 207863253

Photometric Redshift Realism: A Technique for Reducing Catastrophic Outlier Redshift Estimates in Large-Scale Surveys

@article{Wyatt2019PhotometricRR,
  title={Photometric Redshift Realism: A Technique for Reducing Catastrophic Outlier Redshift Estimates in Large-Scale Surveys},
  author={M. Wyatt and Jack Singal},
  journal={arXiv: Astrophysics of Galaxies},
  year={2019}
}
We present results of using individual galaxies' effective redshift probability density information as a method of identifying potential catastrophic outliers in empirical photometric redshift estimation. In the course we develop a method of modification of the redshift distribution of training sets to improve both the baseline accuracy of high redshift (z>1.5) estimation as well as catastrophic outlier mitigation. We demonstrate these using two real test data sets and one simulated test data… 

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