9 citations · 17 across the 9 of their papers we have counts for
4 papers · 1 filter
Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps
Kangning Diao, Biwei Dai, Uros Seljak
Simulation-based inference provides a powerful framework for extracting rich information from nonlinear scales in current and upcoming cosmological surveys, and ensuring its robust…
Modeling Foreground Spatial Variations in 21 cm Gaussian Process Component Separation
Kangning Diao, Richard D. P. Grumitt, Yi Mao
Gaussian processes (GPs) have been extensively utilized as nonparametric models for component separation in 21 cm data analyses. This exploits the distinct spectral behavior of the…
Reionization Parameter Inference from 3D Minkowski Functionals of the 21 cm Signals
Kangning Diao, Zhaoting Chen, Xuelei Chen +1
The Minkowski Functionals (MFs), a set of topological summary statistics, have emerged as a powerful tool for extracting non-Gaussian information. We investigate the prospect of co…
Multi-fidelity Emulator for Cosmological Large Scale 21 cm Lightcone Images: a Few-shot Transfer Learning Approach with GAN
Kangning Diao, Yi Mao
Large-scale numerical simulations () of cosmic reionization are required to match the large survey volume of the upcoming Square Kilometre Array (SKA). We pres…