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pro vyhledávání: '"Irene Moskowitz"'
Autor:
Irene Moskowitz, Eric Gawiser, John Franklin Crenshaw, Brett H. Andrews, Alex I. Malz, Samuel Schmidt, The LSST Dark Energy Science Collaboration
Publikováno v:
The Astrophysical Journal Letters, Vol 967, Iss 1, p L6 (2024)
Large imaging surveys will rely on photometric redshifts (photo- z 's), which are typically estimated through machine-learning methods. Currently planned spectroscopic surveys will not be deep enough to produce a representative training sample for Le
Externí odkaz:
https://doaj.org/article/4d1d6cf1f74f45f3a2b470e95d6cc4bd
Autor:
Irene Moskowitz, Eric Gawiser, Abby Bault, Adam Broussard, Jeffrey A. Newman, Joe Zuntz, The LSST Dark Energy Science Collaboration
Publikováno v:
The Astrophysical Journal, Vol 950, Iss 1, p 49 (2023)
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 to
Externí odkaz:
https://doaj.org/article/cfaf6110024f4f7a95d89a8b0fc2447d