24 citations · 58 across the 7 of their papers we have counts for
8 papers
OpenUniverse2024: A shared, simulated view of the sky for the next generation of cosmological surveys
OpenUniverse, The LSST Dark Energy Science Collaboration, The Roman HLIS Project Infrastructure Team +58
The OpenUniverse2024 simulation suite is a cross-collaboration effort to produce matched simulated imaging for multiple surveys as they would observe a common simulated sky. Both t…
A Cohesive Deep Drilling Field Strategy for LSST Cosmology
Philippe Gris, Humna Awan, Matthew R. Becker +4
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will image billions of astronomical objects in the wide-fast-deep primary survey and in a set of minisurveys in…
The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST
J. Prat, J. Zuntz, Y. Omori +20
We present TXPipe, a modular, automated and reproducible pipeline for ingesting catalog data and performing all the calculations required to obtain quality-assured two-point measur…
Improved Tomographic Binning of 3x2pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments
Irene Moskowitz, Eric Gawiser, Abby Bault +4
Large imaging surveys, such as the Legacy Survey of Space and Time, rely on photometric redshifts and tomographic binning for 3x2pt analyses that combine galaxy clustering and weak…
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
Ji Won Park, Simon Birrer, Madison Ueland +6
We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence () from photometric measurements of galaxies along a given line of sight. The me…
A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys
Emily P. Longley, Chihway Chang, Christopher W. Walter +13
Cosmological parameter constraints from recent galaxy imaging surveys are reaching -level accuracy. The upcoming Legacy Survey of Space and Time (LSST) of the Vera C. Rubin…