The LSST-DESC 3x2pt Tomography Optimization Challenge

@article{Zuntz2021TheL3,
  title={The LSST-DESC 3x2pt Tomography Optimization Challenge},
  author={Joe Zuntz and François Lanusse and Alex I. Malz and Angus H. Wright and An{\vz}e Slosar and Bela Abolfathi and David Alonso and Abby Bault and Clecio Roque De Bom and Massimo Brescia and Adam Broussard and J E Campagne and Stefano Cavuoti and Eduardo S. Cypriani and Bernardo M.O. Fraga and Eric Gawiser and Elizabeth J. Gonzalez and Dylan Green and Peter W Hatfield and Kartheik G. Iyer and David Kirkby and Adrina Nicola and Erfan Nourbaksh and Andy Park and Gabriel Teixeira and Katrin Heitman and Eve Novacs and Eve Kovacs and Y.-Y. Mao},
  journal={The Open Journal of Astrophysics},
  year={2021}
}
This paper presents the results of the Rubin Observatory Dark Energy Science Collaboration (DESC) 3x2pt tomography challenge, which served as a first step toward optimizing the tomographic binning strategy for the main DESC analysis. The task of choosing an optimal tomographic binning scheme for a photometric survey is made particularly delicate in the context of a metacalibrated lensing catalogue, as only the photometry from the bands included in the metacalibration process (usually riz and… 

The Sensitivity of GPz Estimates of Photo-z Posterior PDFs to Realistically Complex Training Set Imperfections

The accurate estimation of photometric redshifts is crucial to many upcoming galaxy surveys, for example, the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). Almost all Rubin

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