88 citations · 455 across the 26 of their papers we have counts for
3 papers · 1 filter
Self-calibrating optical galaxy cluster selection bias using cluster, galaxy, and shear cross-correlations
Chenxiao Zeng, Andrés N. Salcedo, Hao-Yi Wu +1
The clustering signals of galaxy clusters are known to be powerful tools for self-calibrating the mass-observable relation and are complementary to cluster abundance and lensing. I…
LINNA: Likelihood Inference Neural Network Accelerator
Chun-Hao To, Eduardo Rozo, Elisabeth Krause +3
Bayesian posterior inference of modern multi-probe cosmological analyses incurs massive computational costs. For instance, depending on the combinations of probes, a single posteri…
Optical selection bias and projection effects in stacked galaxy cluster weak lensing
Hao-Yi Wu, Matteo Costanzi, Chun-Hao To +16
Cosmological constraints from current and upcoming galaxy cluster surveys are limited by the accuracy of cluster mass calibration. In particular, optically identified galaxy cluste…