Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments

Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments

Large imaging surveys, such as the Legacy Survey of Space and Time, rely on photometric redshifts and tomographic binning for 3 × 2 pt analyses that combine galaxy clustering and weak lensing. In this paper, we propose a method for optimizing the tomographic binning choice for the lens sample of gal...

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Bibliographic Details
Main Authors: Irene Moskowitz, Eric Gawiser, Abby Bault, Adam Broussard, Jeffrey A. Newman, Joe Zuntz, The LSST Dark Energy Science Collaboration
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Dark energy
Observational cosmology
Large-scale structure of the universe
Online Access:https://doi.org/10.3847/1538-4357/accc88

Internet

https://doi.org/10.3847/1538-4357/accc88

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