A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs
- DOI
- 10.3847/1538-4357/adb0b7
- Published
- 2025-03-06
- Container
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3847/1538-4357/adb0b7,
title = {A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs},
author = {Gregory Sallaberry and Benjamin W. Priest and Robert Armstrong and Michael Schneider and Amanda Muyskens and Trevor Steil and Keita Iwabuchi},
year = {2025},
journal = {The Astrophysical Journal},
doi = {10.3847/1538-4357/adb0b7},
url = {https://doi.org/10.3847/1538-4357/adb0b7}
}RIS
TY - JOUR TI - A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs AU - Gregory Sallaberry AU - Benjamin W. Priest AU - Robert Armstrong AU - Michael Schneider AU - Amanda Muyskens AU - Trevor Steil AU - Keita Iwabuchi PY - 2025 JO - The Astrophysical Journal DO - 10.3847/1538-4357/adb0b7 UR - https://doi.org/10.3847/1538-4357/adb0b7 ER -
APA
Sallaberry, G., Priest, B. W., Armstrong, R., Schneider, M., Muyskens, A., Steil, T., & Iwabuchi, K. (2025). A Scalable Gaussian Process Approach to Shear Mapping with MuyGPs. The Astrophysical Journal. https://doi.org/10.3847/1538-4357/adb0b7
Source records
- crossref · retrieved 2026-11-10T11:44:14.258Z