• Corpus ID: 207863253

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

  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},
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… 



Tests of Catastrophic Outlier Prediction in Empirical Photometric Redshift Estimation with Redshift Probability Distributions

  • E. JonesJ. Singal
  • Physics
    Publications of the Astronomical Society of the Pacific
  • 2020
We present results of using individual galaxies’ redshift probability information derived from a photometric redshift (photo-z) algorithm, SPIDERz, to identify potential catastrophic outliers in

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