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Improving Generalization and Uncertainty Quantification of Photometric Redshift Models

  • Authors: Jonathan Soriano, Tuan Do, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Evan Jones

Jonathan Soriano et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 6.

A comparison of the performance of BNNs using metrics averaged over the redshift range 0.3 < z < 1.5 (see Section 3.3.1). The gray shaded area corresponds to the LSST science goals. The models, with the exception of BNN-2, meet the same LSST bias and outlier requirements. Regardless of the training approach, these models fail to perform comparably on both ground truths.

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